Systems Engineering
Ph.D. Programs Benchmarking
Final Report
Presented To:
Dr. Jerrell Stracener
Founding Director, Systems Engineering Program (SEP)
Southern Methodist University
February 3, 2009
Prepared By:
Southern Methodist University (SMU)
Systems Engineering Program Development Team (SEP DT)
______________________Benchmarking
Tim Woods
Benchmark Team Co–Lead
Mr. Tim Woods
Benchmark Team Co–Lead
Project Team
______________________
Dr. Jim Hinderer
Benchmark Team Co–Lead
Dr. Jim Hinderer
Benchmark Team Co–Lead
Table of Contents
Table of Contents.................................................................................................. ii
Table of Figures .................................................................................................... ii
Table of Tables ..................................................................................................... ii
Executive Overview .............................................................................................. 1
Evaluation Background ......................................................................................... 4
Requirements/Process Development.................................................................... 6
Evaluation ............................................................................................................. 7
SMU Ph.D. Program Comparison Summary ....................................................... 14
Systems Engineering Ph.D. Programs Benchmarking Summary ....................... 14
Appendix A – Final Evaluation Programs............................................................ 17
Appendix B – Research SE Programs Data ..................................................... 127
Table of Figures
Figure 1 – SE Benchmarking Team Process ........................................................ 6
Figure 2 – Benchmarking Team Evaluation Process ............................................ 7
Figure 3 – Research SE Programs – Program Analysis ....................................... 9
Figure 4 – Final Evaluation Program Hours vs. SMU’s ....................................... 14
Table of Tables
Table 1 – Programs Chosen for Further Analysis ................................................. 2
Table 2 – Analysis of Systems Engineering Programs ......................................... 3
Table 3 – Benchmarking Team Members ............................................................. 5
Table 4 – Research SE Programs Attributes ........................................................ 8
Table 5 – Programs Selected for Further Evaluation Consideration ................... 10
Table 6 – Seven Areas of Final Evaluation Data Gathering ................................ 10
Table 7 – Programs Chosen for Final Evaluation Comparison ........................... 11
Table 8 – Analysis of Systems Engineering Programs ....................................... 13
ii
Executive Overview
In response to customer/student requests, the Engineering Management,
Information and Systems (EMIS) Department at Southern Methodist University
(SMU) is interested in starting a Ph.D. in Systems Engineering program. SMU
currently offers a Ph.D. in Applied Science, with a concentration in Systems
Engineering, but not a Ph.D. in Systems Engineering. To ensure the proposed
SMU Ph.D. in Systems Engineering (SE) program is comparable to other current
Ph.D. SE programs, a twenty member volunteer team formed as part of SMU’s
Systems Engineering Program Development Team (SEP DT).
The team was identified as the Benchmarking Team and derived from members
of the SEP DT. Team co–leads were Mr. Tim Woods, a Ph.D. Candidate in
Applied Science at SMU, and Dr. Jim Hinderer, an adjunct Professor of Systems
Engineering at SMU. Dr. Jerrell Stracener, Founding Director of SMU’s Systems
Engineering Program, provided consultation and support to the team. The goal
of the team was to gather data on current Ph.D. SE programs in the United
States and use the data to build a comparison basis for the proposed Ph.D. SE
program at SMU.
The Benchmarking Team started gathering data in February 2007 and finished
researching in April 2008. The original Benchmarking Final Report used the
SMU Ph.D. in Applied Science with a Concentration in Systems Engineering
program’s attributes as a basis of comparison and was presented to Dr.
Stracener in August of 2008. The report was re-written to use the SMU proposed
Ph.D. in Systems Engineering as the basis of comparison with final editing and
reviewing completed in January, 2009 and the report provided to Dr. Stracener in
February, 2009. Throughout the Benchmarking Team’s tasking, SMU SEP DT
members and outside organizations requested data from the Benchmarking
Team to use with other ongoing projects and Benchmarking Team members
provided as needed support to ongoing SEP DT activities.
The Benchmarking Team analyzed data from 131 schools and found three
schools that were duplicates of schools on the list already, leaving 128 schools
researched. The team found 53 Ph.D., 82 Masters, and 63 Bachelors degree
programs that at first review were systems engineering related. The programs
were further evaluated to determine whether they were true systems engineering
Ph.D. programs and not bio-systems, industrial engineering, etc. Of the 128
researched, 15 were chosen for final evaluations. During final evaluations and
analysis, four programs were dropped from the list. Three did not have a Ph.D. in
Systems Engineering degree, and one degree was an interdepartmental degree,
leaving 11 programs. The 11 programs chosen for analysis are shown in Table
1.
1
Table 1 – Programs Chosen for Further Analysis
University/College
Location
Program
George Washington University
Washington, DC
D.Sc. in Systems Engineering
Massachusetts Institute of Technology
Cambridge, MA
Ph.D. in Engineering Systems
Oakland University
Rochester, MI
Ph.D. in Systems Engineering
Southern Methodist University
Dallas, Texas
Stevens Institute of Technology
Hoboken, NJ
Proposed Ph.D. in Systems
Engineering
Ph.D. in Systems Engineering
Texas Tech University
Lubbock, TX
The University of Alabama in Huntsville
Huntsville, AL
The University of Arizona
Tucson, AZ
University of Southern California
Los Angeles, CA
University of Virginia
Charlottesville, VA
Washington University
St. Louis, MO
Ph.D. in Systems and Engineering
Management
Ph.D. in Engineering, with Systems
Engineering Concentration
Ph.D. in Systems & Industrial
Engineering
Ph.D. in Industrial & Systems
Engineering
Ph.D. in Systems Engineering
Ph.D. in Systems Science and
Mathematics
Analysis of the 11 programs is shown in Table 2. The analysis showed SMU’s
System Engineering Program’s Requirements–Driven, Customer–Focused
proposed doctoral degree compared favorably with the other ten Ph.D. in
Systems Engineering programs and excelled in the customer–focus aspect for
their largest audience of perspective students, working professionals.
Comparing SMU’s proposed Ph.D. SE program against ten other programs
revealed SMU’s proposed program to be very similar to other Ph.D. SE programs
in the United States, ranking analytically favorably with the final evaluation
programs. The foundations set by SMU and the Engineering Management,
Information and Systems (EMIS) Department have produced a program that, at
inception, will compare admirably and compete alongside recognized Ph.D. SE
programs.
2
Table 2 – Analysis of Systems Engineering Programs
Other
Time Limits
d.
Program Characteristics
5.
Program
a.
Faculty - Full and part time
b.
Students - Full and part time
c.
Delivery methods
6.
Yes
Partial2
Yes
Partial1
Yes
Yes
90
60
30
30
80
56
24
32
78
54
24
Yes
Yes
Yes
Yes
Yes
Yes
Private
Defense
Yes
Yes
Yes
7
Department Department Department School
6
50
11
60
Combo
Resident
Resident
Partial1 = 1 year of full time study
Partial2 = 2 years of full time study
Combo = Distance and Resident classes
* - Proposed Ph.D. in Systems Engineering
** - GRE not required with > 10 years of Industrial Experience
*** - Applicants and Transfer Requests
Note: Blank field indicates information was not found during research.
3
78
54
24
30
Yes
Yes
Yes
Yes
Yes
Yes
Preliminary
QE
7
6
34
82
72
60
12
24
84
66
18
33
Yes
Yes
Yes
Yes
Yes
Yes
Preliminary
Exam
5
64
60
4
30 Varies
72
54
18
24
6
72
36
24
24
72
48
24
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
10
Yes
Partial1
Yes
Partial1
Yes
Unknown
Yes
Partial1
Yes
Partial1
Yes
Yes**
No On-Site Partial1
Yes
Unknown
Yes
Partial1
WUSTL
UV
USC
TUA
TUAH
TTU
SMU*
SIT
OU
MIT
GWU
Data Gathered
Admission requirements
2.
GRE
a.
Residency
b.
Degree Requirements
3.
Total Credits Required
Course Credits Required
b.
Dissertation Credits Required
c.
Transfer Credits Allowed
d.
Other
e.
Degree Roadmap
4.
Qualifying Exam
a.
Oral Exam/Research Exam
b.
Dissertation Defense
c.
7
5
Department Department Department Department Department Department Department
33
27
53
27
9
14
36
50
37***
Resident
Resident
Combo
Resident
Combo
Evaluation Background
Southern Methodist University (SMU) started their Systems Engineering (SE)
program by offering a Master of Science with a major in Systems Engineering in
1995. Since then, the response to the MSSE degree has been tremendous with
over 400 students graduating through 2008. In response to customer/student
requests, the SMU School of Engineering began offering a Ph.D. in Applied
Science, with a concentration in Systems Engineering. The first student to earn
a Ph.D. in Applied Science, with a concentration in Systems Engineering,
graduated at SMU’s May 2006 commencement.
Additional requests for a true Ph.D. in Systems Engineering degree led SMU’s
Systems Engineering Program Development Team (SEP DT) to stand up a
Benchmarking Team. The goal of the team was to “perform research into current
doctoral programs in Systems Engineering in order to build a comparison basis
for SMU Ph.D. in Systems Engineering Program.” The Benchmarking Team for
this project would become a twenty one member volunteer team that started
gathering data on current, Ph.D. programs in Systems Engineering in the United
States in February, 2007. Benchmarking Team Members are shown in Table 3.
The Benchmarking Team was co–lead by Mr. Tim Woods, a Ph.D. Candidate in
Applied Science, with a concentration in Systems Engineering at SMU, and Dr.
Jim Hinderer, an adjunct Professor of Systems Engineering at SMU. Dr. Jerrell
Stracener, SMU Systems Engineering Program’s Founding Director, provided
consultation and support to the team.
4
Table 3 – Benchmarking Team Members
Member
Steven Allen
Birdie Buchanan
Aimee Burnett
George Chollar
Bret Early
Floyd Fazi
Dan Flis
Odette Foore
Mike Harper
Jim Hinderer*
Matt Kendall
Micheal Kutch
Richard Mcfarland
Terry Riley
Jim Rodenkirch
Jerrell Stracener
Chris Thompson
Trevor Viljoen
Dawn Woods
Tim Woods*
* – Team Leads
Company Affiliation
Lockheed Martin Space Systems Company
Lockheed Martin Aeronautics
Lockheed Martin Aeronautics
Statistical Design Institute, LLC
Lockheed Martin Aeronautics
Lockheed Martin Aeronautics
Lockheed Martin Aeronautics
U.S. Navy Space & Naval Warfare Systems Center
U.S. Navy Space & Naval Warfare Systems Center
Raytheon Space and Airborne Systems
Raytheon Network Centric Systems
U.S. Navy Space & Naval Warfare Systems Center
Texas Instruments
Lockheed Martin Aeronautics
Rodenkirch, LLC (US Navy ret)
SMU
IBM
Raytheon Space and Airborne Systems
Keller ISD
Lockheed Martin Aeronautics
5
Location
Huntsville, AL
Fort Worth, TX
Fort Worth, TX
Dallas, TX
Fort Worth, TX
Fort Worth, TX
Fort Worth, TX
Charleston, SC
Charleston, SC
Dallas, TX
McKinney, TX
Charleston, SC
Dallas, TX
Fort Worth, TX
St. George, UT
Dallas, TX
Garland, TX
McKinney, TX
Keller, TX
Fort Worth, TX
Requirements/Process Development
Before the Benchmarking Team started gathering data, the goal and
requirements for gathering the data were developed and are shown below:
Goal:
Perform research into current doctoral programs in Systems
Engineering in order to build a comparison basis for SMU’s Ph.D. in
Systems Engineering Program.
Requirements:
1. Perform research one time only.
2. Develop one listing of Ph.D. and doctoral degrees in Systems
Engineering.
3. Concurrent with researching Ph.D. and doctoral degrees, collect
Systems Engineering Program attributes for later use.
4. Track total number of schools researched.
The research process was developed and drawn up before the research process
was initiated. This allowed the team leaders to explain the evaluation process
(see Figure 1) to the SEP DT and team members and allowed for consistency in
review.
Develop Prelim SMU
PhD SE Program
Requirements
Evaluate PhD SE
Programs Against
SMU Program Reqs
Research SE
Programs
No
Program
Meets SMU
Reqs?
Yes
Add Program For
Final Evaluation
Collect
Program
Description
Data
Collect
Program
Admission
Requirements
Collect
Program
Degree
Requirements
Collect
Program
Degree
Roadmap
Drop Program From
Evaluation Process
Collect
Program
Characteristics
Collect
Program
Delivery
Methods
Merge Collected Data
Eval SMU PhD SE
Reqs Against
Collected Data
Adjust SMU PhD SE
Reqs As Appropriate
Compare/Contrast
SMU PhD SE
Against Programs
Present Findings
Figure 1 – SE Benchmarking Team Process
6
Collect
Program Areas
of Expertise
The evaluation process (see Figure 2) was developed and drawn up before the
data were gathered. Documenting the evaluation process enabled the team
leaders to ensure all team members were “on the same page” during the
evaluation process.
No
Research SE
Programs
Certificates?
(Per University/College)
Add To
Documentation no
Certificates
Yes
No
School of
Engineering?
Add To
Documentation
Certificates
Document School As
Reviewed, No
Engineering
Yes
Add To Documentation
School of Engineering
End Research SE
Programs
No
SE, ES,
SOS?1
Center, Lab,
Institute?
No
Add to Documentation, No
Center, Lab, or Institute
Yes
Document As Reviewed,
with Engineering, but no
SE, ES or SOS
Add To Documentation
Center, Lab, or Institute
Yes
Add To Documentation
SE, ES, SOS, etc..
No
Degree
Programs2
Yes
Document As Reviewed,
with Engineering, with SE,
ES or SOS, but no Degree
Programs
Anything
Else?
No
Yes
Add To Documentation
Degree Programs
Add to
Documentation
Anything Else
1 – Systems Engineering, Engineering of Systems; Systems Of Systems; Engineering Systems; etc.
2 – PhD; Doctor Of Engineering; Masters; Bachelors;
End Research SE
Programs
Figure 2 – Benchmarking Team Evaluation Process
The process was divided into two phases: 1) Research SE programs and 2) Final
Evaluation of true SE programs. The first phase was further divided into smaller
steps – identifying SE programs and gathering the data. The Final Evaluation
data was divided into the seven areas shown in Figure 1. To ensure consistency
of gathered data for the true SE programs the method of data capture for the
Final Evaluation evolved from the Research SE programs step. Instead of an
individual gathering the data by school, an individual was asked to gather the
data for all true SE programs by area. This ensured the same eyes looked at all
the schools and programs and gathered the same data.
Evaluation
The Benchmarking Team started the evaluation by assuming all
universities/colleges in the United States would be examined and any schools
that had an engineering program would be further researched for degrees related
7
to Systems Engineering. This proved to be a daunting task for a team of
volunteers. Consequently, select members of the team researched SE programs
and created a listing of likely candidates for the first step of researching SE
programs. This listing was then parsed out to the team members and the
research was conducted off of that listing and any additional programs that were
forwarded to the team.
The Research SE programs phase resulted in 26 different attributes collected for
each school on the list, with no SE criterion applied. The attributes are shown in
Table 4. Research began in early 2007 and by November 2007 the “Research
SE Programs” phase was considered complete. A total of 131 schools were
eventually researched, with three schools researched under duplicate names,
leaving a total of 128 schools researched. The complete listing of schools
researched and the data gathered are given in Appendix B.
Table 4 – Research SE Programs Attributes
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
Attribute
Number
School Name
SE Program RVW Status
State/Other
School URL
Location
Reviewer
Date Reviewed
Engineering Department/School/Program
Engineering Department/School/Program URL
Systems Engineering/Systems of Systems/Engineering
Systems/etc. Offered
Systems Engineering/Systems of Systems/Engineering
Systems/etc. Offered URL
Doctoral Degrees Offered in SE/ES/SOS
Doctoral Degrees Offered in SE/ES/SOS URL
Masters Degrees Offered in SE/ES/SOS
Masters Degrees Offered in SE/ES/SOS URL
Bachelors Degrees Offered in SE/ES/SOS
Bachelors Degrees Offered in SE/ES/SOS URL
Continuing Education
Continuing Education URL
Certificates
Certificates URL
Center/Lab/Institute/Consortium
Center/Lab/Institute/Consortium URL
Anything Else
Anything Else URL
8
Figure 3 reflects the results of the “Research SE Programs” findings with regards
to the number of schools, engineering programs, SE type, Ph.D., Masters, and
Bachelors programs identified in the 128 schools.
Research SE Programs - Total Programs
140
131
Total Schools Researched
Engineering Programs Identified
SE Type Programs Identified
Ph.D, Programs Identified
Masters Programs Identified
Bachelors Programs Identified
120
108
100
88
82
80
63
60
53
40
20
0
Total Schools
Researched
Engineering
Programs
Identified
SE Type
Programs
Identified
Ph.D. Programs
Identified
Masters
Programs
Identified
Bachelors
Programs
Identified
Figure 3 – Research SE Programs – Program Analysis
The Benchmarking Team leaders and advisor analyzed the 53 Ph.D. programs
and identified 15 programs for final evaluation consideration. The 15 programs
chosen were evaluated based for “pure” Systems Engineering content, – i.e.,
programs that were bio–systems, information systems, or interdepartmental
degrees were eliminated from consideration. The programs considered for final
evaluation are shown in Table 5.
During the “Final Evaluation,” seven areas of data were collected across all the
programs. To ensure data consistency, one person was assigned to gather the
data from each of the seven areas. The consistency came from having the same
person researching all 15 programs for the same set of data, creating a specialist
in that area of data gathering. Additionally, the data was reviewed by the team
leads to ensure consistency across all areas of data collection and to evaluate
9
expanding or contracting the research areas. The seven areas of data gathered
on the “Final Evaluation” programs are shown in Table 6.
Table 5 – Programs Selected for Further Evaluation/Consideration
University/College
Location
Program Name
Boston University
Case Western Reserve University
Boston, MA
Cleveland, OH
George Washington University
Colorado School of Mines
Massachusetts Institute of
Technology
Naval Postgraduate School
Oakland University
Southern Methodist University
Washington, DC D.Sc. in Systems Engineering
Golden, Colorado Ph.D. in Engineering Systems
Cambridge, MA
Ph.D. in Engineering Systems
Stevens Institute of Technology
Texas Tech University
Hoboken, NJ
Lubbock, TX
The University of Alabama in
Huntsville
The University of Arizona
Huntsville, AL
Monterey, CA
Rochester, MI
Dallas, Texas
Ph.D. in Systems Engineering
Ph.D. in Systems and Control Engineering
Ph.D. Proposed in Systems Engineering
Ph.D. in Systems Engineering
Ph.D. in Applied Science, with a Concentration in
Systems Engineering
Ph.D. in Systems Engineering
Ph.D. in Systems and Engineering Management
Ph.D. in Engineering, with Systems Engineering
Concentration
Ph.D. in Systems & Industrial Engineering
University of Southern California
University of Virginia
Ph.D. in Systems
& Industrial
Engineering
Los Angeles, CA Ph.D. in Industrial & Systems Engineering
Charlottesville, VA Ph.D. in Systems Engineering
Washington University
St. Louis, MO
Ph.D. in Systems Science and Mathematics
Table 6 – Seven Areas Of Final Evaluation Data Gathering
1.
2.
3.
4.
Description of Program
1.
Mission/Vision Statement
Admission requirements
1.
GRE
2.
Residency
Degree Requirements
1.
Previous Degrees
2.
Course Credits Required
3.
Dissertation Credits Required
4.
Transfer Credits Allowed
5.
Other
Degree Roadmap
1.
Qualifying Exam
2.
Oral Exam
3.
Dissertation Defense
4.
Time Limits
5.
6.
7.
10
Program Characteristics
1. Program reports to (Dean or separate
department)
2. Faculty - Full and part time
3. Students - Full and part time
Delivery methods
1. Resident
2. Distance
3. Some combination
Areas of Expertise
1. Research areas
2. Research funding
3. Industry Affiliations
The research performed as part of the Final Evaluation showed three of the
schools did not have Ph.D. programs in Systems Engineering and one degree
program was an interdepartmental degree. Consequently, four schools, Naval
Postgraduate School, Colorado School of Mines, Case Western Reserve
University, and Boston University were dropped from the final evaluation
analysis. The 11 programs chosen for analysis are shown in Table 7. Appendix
A contains the data gathered from the school’s websites to perform the final
analysis. Although SMU is shown as one of the programs evaluated, it formed
the baseline for comparison with the SMU data based upon the current Ph.D. in
Systems Engineering program proposal.
Table 7 – Programs Chosen For Final Evaluation Comparison
University/College
Location
Program
George Washington University
Massachusetts Institute of Technology
Washington, DC
Cambridge, MA
D.Sc. in Systems Engineering
Ph.D. in Engineering Systems
Oakland University
Southern Methodist University
Stevens Institute of Technology
Texas Tech University
Rochester, MI
Dallas, Texas
Hoboken, NJ
Lubbock, TX
The University of Alabama in Huntsville
Huntsville, AL
The University of Arizona
University of Southern California
Tucson, AZ
Los Angeles, CA
Ph.D. in Systems Engineering
Proposed Ph.D. in Systems Engineering
Ph.D. in Systems Engineering
Ph.D. in Systems and Engineering
Management
Ph.D. in Engineering, with Systems
Engineering Concentration
Ph.D. in Systems & Industrial Engineering
Ph.D. in Industrial & Systems Engineering
University of Virginia
Charlottesville, VA
Ph.D. in Systems Engineering
Washington University
St. Louis, MO
Ph.D. in Systems Science and
Mathematics
A comparison of SMU’s current Ph.D. in Systems Engineering and the other 10
programs shows the following:


GRE Requirement
o All programs required the GRE, some for non–accredited degree
applicants.
o SMU’s program does have a waiver process for the GRE and does
not require the GRE with 10 or more years of industrial experience.
Residency
o All programs except SMU’s, require at least a minimum of 1 year
on-site, residency, with one program requiring two years.
11
o SMU’s program does not have an on-site residency requirement,
but does require the last 30 hours of coursework be SMU
coursework.




Total Credit Hours
o The average credit hours required was 76.2 hours, with a high of 90
and a low of 64. The mode was 72 and the median was 75 hours.
o SMU’s total credit hours of 78 was slightly above the average of
76.2.
Course Credit Hours
o The average was 54.8 credit hours of course work beyond the
Bachelors, with a high of 66, a low of 36 hours, a mode of 54 and a
median of 55 credit hours.
o At 54 credit hours of course work, SMU’s program is just below the
average, but well above the low and equal to the mode.
Dissertation Credit Hours
o The average was 20.2 credit hours of dissertation work, with a high
of 30, a low of 4, a mode of 24 and a median of 24 credit hours.
o SMU’s program’s 24 dissertation credit hours is above average and
just below the high of 30 and equaled the mode and median.
Transfer Credit Hours
o The average allowed transfer credits was 28.4 with a high of 33, a
low of 24, and a median and mode of 30.
o SMU allows 30 transfer credit hours, but varies that number by
individual circumstances require.
A summary of the data gathered in the final evaluation is shown in Table 8.
Figure 4 shows the analysis of the final evaluation programs, including SMU’s
data, vs. SMU’s Ph.D. SE program’s credit hours requirements.
12
Table 8 – Analysis of Systems Engineering Programs
Data Gathered
2.
Admission requirements
a.
GRE
b.
Residency
3.
Degree Requirements
Total Credits Required
b.
Course Credits Required
c.
Dissertation Credits Required
d.
Transfer Credits Allowed
e.
Other
4.
Degree Roadmap
a.
Qualifying Exam
b.
Oral Exam/Research Exam
c.
Dissertation Defense
Other
d.
Time Limits
5.
Program Characteristics
a.
Program
b.
Faculty - Full and part time
c.
Students - Full and part time
6.
Delivery methods
GWU
MIT
Yes
Partial1
Yes
Partial2
OU
Yes
Partial1
78
54
24
Yes
Yes
SIT
Yes
Unknown
80
56
24
32
Yes
Yes
Yes
SMU*
Yes
Yes
Yes
7
Department Department Department School
11
50
6
60
Resident
Resident
Combo
Partial1 = 1 year of full time study
Partial2 = 2 years of full time study
Combo = Distance and Resident classes
* - Proposed Ph.D. in Systems Engineering
** - GRE not required with > 10 years of Industrial Experience
*** - Applicants and Transfer Requests
Note: Blank field indicates information was not found during research.
13
TUAH
Yes**
Yes
No On-Site Partial1
90
60
30
30
Yes
Yes
Yes
Private
Defense
TTU
78
54
24
30
Yes
Yes
Yes
Yes
Yes
Yes
Preliminary
QE
6
7
34
82
TUA
Yes
Partial1
72
60
12
24
USC
Yes
Partial1
84
66
18
33
Yes
Yes
Yes
Yes
Yes
Yes
Preliminary
Exam
5
UV
Yes
Unknown
72
54
18
24
Yes
Partial1
64
60
4
30 Varies
Yes
Yes
Yes
10
WUSTL
Yes
Partial1
72
48
24
Yes
Yes
Yes
6
72
36
24
24
Yes
Yes
Yes
7
5
Department Department Department Department Department Department Department
36
14
9
27
53
27
33
37***
50
Combo
Resident
Combo
Resident
Resident
Ph.D. Programs Credit Hours Vs. SMU Ph.D. SE Program
100
90
Hi, 90
SMU
Average
Hi
Low
Mode
Median
Data Range
80
Average, 76.2
70
Median, 75
Credit Hours
Mode, 72
Low, 64
Hi, 66
60
Median, 55
Average, 54.8
50
Mode, 54
40
Median and Mode, 30
Low, 36
Hi, 33
Hi, 30
30
Average, 28.375
Median and Mode, 24
Low, 24
20
Average, 20.2
10
Low, 4
0
Total Credit Hours
Required
Course Credit Hours,
Above Bachelors,
Required
Dissertation Credit
Hours
Required
Transfer Credit Hours
Allowed
Figure 4 – Final Evaluation Program Hours vs. SMU’s
SMU Ph.D. Program Comparison Summary
Comparing SMU’s proposed Ph.D. SE program against ten other programs
revealed SMU’s proposed program to be a solid program very similar to other
Ph.D. SE programs in the United States. SMU’s proposed program was found to
rank analytically favorably with the “Final Evaluation” programs. Building on the
foundation of the Engineering Management, Information and Systems (EMIS)
Department, the SEP will produce a program that at inception will compare
admirably to and compete with other recognized Ph.D. SE programs.
Systems Engineering Ph.D. Programs Benchmarking Summary
The comparison summary above shows that SMU’s proposed Ph.D. program
will, at inception, compare admirably with other true Ph.D. SE programs.
However, SMU’s proposed Ph.D. program is built upon more than a comparison
report by a team of volunteers. The proposed SMU Ph.D. SE program is built
upon the reputation of the Systems Engineering Program. SMU’s System
Engineering Program’s Requirements–Driven, Customer–Focused proposed
14
Ph.D. program excelled in the customer–focus aspect for their largest audience
of perspective students, working professionals. An added benefit to perspective
students and SMU SEP is the offering of all SEP via distance learning. This not
only increases the audience of perspective students, but increases the SEP
reputation by using technology in the classroom itself.
SMU’s location in Dallas, Texas allows the SEP to draw upon industry experts for
development of courses and adjunct professors to teach those courses,
increasing the reputation of the school and SEP. The reputation of SMU and its
Systems Engineering program was further enhanced by the selection of SMU as
part of the Systems Engineering Research Consortium (SERC)1:
SMU engineering school to collaborate on defense
research
January 29, 2009
DALLAS (SMU) — The Bobby B. Lyle School of Engineering at Southern Methodist University will
serve as a designated research collaborator in the Systems Engineering Research Center (SERC),
the first University Affiliated Research Center (UARC) funded by the Department of Defense (DoD)
to focus on challenging systems
engineering issues facing the DoD
and related defense industries.
Systems Engineering:
Simply speaking, systems engineering studies
SMU Lyle School of Engineering,
how things are done and finds ways to do them
with Dr. Jerrell Stracener as lead
better, from how a computer is made and linked
senior researcher, will participate as
to other computers to how food is grown,
part of a prestigious consortium of
collected and delivered to your table.
18-leading collaborator universities
and research centers throughout the
United States, led by Stevens Institute of Technology, with the University of Southern California
serving as its principal collaborator.
“This award is a major recognition of Stevens Institute of Technology’s leadership, consolidated
during the last decade, in the field of Complex Systems Engineering,” said Dr. Dinesh Verma, Dean
of Stevens’ School of Systems & Enterprises, and the Executive Director of the Systems Engineering
Research Center.
SERC will be responsible for systems engineering research that supports the development,
integration, testing and sustainability of complex defense systems, enterprises and services. SERC
will serve as the systems engineering research engine for the DoD and Intelligence Community (IC).
It will also offer systems engineering programs and workshops for DoD and IC employees and
contractors.
“As a key partner in this national consortium, we are pleased to have the opportunity to expand our
contributions to this country in systems engineering education and research through the linkage of
“SMU engineering school to collaborate on defense research” Retrieved on January 31, 2009
from http://www.smu.edu/News/2008/engineering-dod-29jan2009.aspx.
1
15
the Lyle Systems Engineering Program with SMU’s Caruth Institute for Engineering Education and
its one of a kind Lockheed Martin Skunk Works® Lab,” said Dr. Geoffrey Orsak, Dean of the Lyle
School of Engineering.
SMU Lyle School of Engineering’s Systems Engineering
Program (SEP) has long been recognized for providing
work-place relevant education and research to the
nation’s aerospace and defense (A&D) community, both
industry and government.
The SEP was developed and continues to evolve under the
leadership of Dr. Jerrell Stracener, SEP Founding
Director, in partnership with government agencies and
Jerrell Stracener
A&D companies. The Lyle School of Engineering’s system
engineering research program is being driven by needs of A&D systems developers, including
Lockheed Martin, Raytheon, Bell Helicopter, Elbit Systems and L-3 Communications. A doctoral
program is being expanded in response to needs of the United States A&D sector, both industry and
government.
About the Bobby B. Lyle School of Engineering
SMU’s Bobby B. Lyle School of Engineering, founded in 1925, is one of the oldest engineering
schools in the Southwest. The school offers eight undergraduate and 29 graduate programs,
including both master’s and doctorate levels.
A private university located in the heart of Dallas, SMU is building on the vision of its founders,
who imagined a distinguished center for learning emerging from the spirit of the city. Today, 11,000
students benefit from the national opportunities and international reach afforded by the quality of
SMU’s seven degree-granting schools.
About the Systems Engineering Research Center
SERC is a collaborative research center comprised of 18-leading collaborator universities and
research organizations led by Stevens Institute of Technology. Collectively, the SERC collaboration
is unparalleled in its depth and breath, leadership and citizenship in Systems Engineering research.
SERC collaborators include: Stevens Institute of Technology, University of Southern California, Air
Force Institute of Technology, Auburn University, Carnegie Mellon University, Fraunhofer Center
at the University of Maryland, Massachusetts Institute of Technology, Missouri University of
Science and Technology, Pennsylvania State University, Southern Methodist University, Texas
A&M University, Texas Tech University, University of Alabama at Huntsville, University of
California at San Diego, University of Maryland, University of Massachusetts at Amherst,
University of Virginia, and Wayne State University.
Additional information regarding the SERC and the Department of Defense is available on their
respective web sites, www.sercuarc.org and www.defenselink.mil.
16
Appendix A – Final Evaluation Programs
The following pages contain the final programs chosen to compare against
SMU’s Ph.D. in Systems Engineering program.
Institution: George Washington University ...................................................... 18
Institution: Massachusetts Institute of Technology.......................................... 27
Institution: Oakland University ........................................................................ 37
Institution: Stevens Institute of Technology .................................................... 50
Institution: Texas Tech University ................................................................... 62
Institution: The University of Arizona .............................................................. 71
Institution: The University of Alabama in Huntsville ........................................ 84
Institution: University of Southern California ................................................... 92
Institution: University of Virginia .................................................................... 106
Institution: Washington University in St. Louis .............................................. 115
Citation Disclaimer ............................................................................................ 126
17
Institution:
George Washington University
School:
School of Engineering and Applied Science
Department:
Engineering Management & Systems
Engineering
Degree:
Doctor of Science in Systems Engineering
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Systems Engineering Program Overview ........................................................... 20
Mission of the EMSE Department ....................................................................... 20
Doctor of Science Degree Description ................................................................ 20
Admissions Criteria ............................................................................................. 20
Previous Degrees (BS or MS) ............................................................................. 20
GRE Required (Yes) ........................................................................................... 20
Program Requirements ....................................................................................... 20
Residency ........................................................................................................... 21
Minimum Credit Hour Load ................................................................................. 21
Total Credit Hours (78) ....................................................................................... 21
Credit Hours Beyond Master’s (30) .............................................................. 21
Credit Hours Without Master’s Degree (54) ................................................. 21
Dissertation Credits (24) .............................................................................. 21
Course Prerequisites .......................................................................................... 21
Academic Standing ............................................................................................. 21
Transfer Credits .................................................................................................. 21
Time Limits ......................................................................................................... 22
Examinations ...................................................................................................... 22
Preliminary Examination ..................................................................................... 22
Qualifying Examination ....................................................................................... 22
Description ................................................................................................... 22
Quantitative Methods Exam (Written) .......................................................... 22
Focus Area Exam (Written And Oral) .......................................................... 22
Re-Takes ..................................................................................................... 22
Candidacy ........................................................................................................... 23
Delivery Modes ................................................................................................... 23
Related Degrees ................................................................................................. 23
Accelerated Doctor of Science in Systems Engineering ..................................... 23
At A Glance.................................................................................................. 23
Accelerated Doctor of Science Program Description ................................... 23
Admissions Criteria ...................................................................................... 23
Credit Hours (30) ......................................................................................... 24
Dissertation Credits (24) .............................................................................. 24
Qualifying Exam/Dissertation ....................................................................... 24
Accelerated Doctor of Science Program Course Descriptions ..................... 24
Student Statistics ................................................................................................ 25
Core Faculty and Affiliation ................................................................................. 25
Program Statistics ............................................................................................... 25
Areas of Expertise............................................................................................... 25
Areas of Focus .................................................................................................... 25
Operations Research and Management Science (ORMS) .......................... 26
Systems Engineering ................................................................................... 26
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Systems Engineering Program Overview
Provides broad knowledge of the "systems approach" for designing and
managing large-scale engineering systems throughout the life cycle. Topics
include elements of systems engineering, methods and standards, architecting,
computer tools that support systems and software engineering, trends and
directions, and the integrative nature of systems engineering. Case studies and
methodologies from NASA, DoD and U.S. corporations are explored.
Mission of the EMSE Department
The mission of the Department of Engineering Management and Systems
Engineering is to deliver an integrated program of research, teaching and public
service to managers of technology in industry, government and international
entities. The EMSE Department develops creative leadership to bridge dynamic,
complex technologies and societal needs. The education and research programs
provide an understanding of the managerial role, analysis of the diverse functions
of technical organizations and instruction in modern management techniques and
tools as they apply to formulating and executing decisions in engineering and
scientific organizations.
Doctor of Science Degree Description
The program of study is individually tailored for each student and designed to
provide the student with the capability to perform substantive research.
Admissions Criteria
Previous Degrees (BS or MS)
Doctor of Science degree program requires an appropriate earned baccalaureate
degree or master's degree from a recognized institution, completed course work
pertinent to the field to be studied, an acceptable professional background, and a
capacity for creative scholarship. Students whose highest earned degree is a
baccalaureate must present a grade-point average of at least 3.3 on a scale of
4.0 in undergraduate work. Students whose highest earned degree is a master's
degree, must present a grade-point average of at least 3.5 on a scale of 4.0 in
graduate work.
GRE Required (Yes)
All students are required to submit scores from the Graduate Record
Examination general test, and provide two letters of recommendation.
Program Requirements
The program is divided into two stages. The first comprises a study of related
fields of learning that support the general area of research focus and culminates
in the qualifying examination. The second, composed of original research and the
presentation of findings in a written dissertation, culminates in the final
examination.
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Residency
Students admitted to doctoral study are encouraged to undertake one year of fulltime study on campus.
Minimum Credit Hour Load
In general, the advisor will require the student to register for a minimum of 6
credit hours of course work in every fall and spring semester.
Total Credit Hours (78)
Credit Hours Beyond Master’s (30)
A minimum of 30 credit hours in a formal program at the graduate level beyond
master's study.
Credit Hours Without Master’s Degree (54)
For students without master's degrees, a minimum of 54 credit hours in a formal
program at the graduate level beyond the baccalaureate, is required.
Dissertation Credits (24)
In addition, all doctoral students take a minimum of 24 hours of dissertation
research once they have been admitted to candidacy.
Course Prerequisites
The following courses are prerequisites and are required in addition to the credit
hours discussed above: Math 31, 32, and APSC 115. Students who do not have
a master’s degree will be required to take the following courses: EMSE 212,
EMSE 260, EMSE 269, and EMSE 283. Students with a master’s degree may
also take EMSE 212, EMSE 260, EMSE 269, and EMSE 283 for doctoral credit
however they are not recommended and are subject to approval by the
department chair.
All doctoral students are required to take EMSE 216 and EMSE 271. It is
recommended that students register for EMSE 216 in their last year of course
work. In addition, students must select one quantitative method course from the
following list: EMSE 208, EMSE 254, and EMSE 273.
Academic Standing
If a doctoral student receives two grades of F or three grades below B, graduate
study is terminated and further enrollment prohibited. Courses in which the
student earns grades below B, are not included in the total credit-hour
requirement for the degree. Students, who receive any grade below B, are
required to review their programs of study with their advisors. Students must
maintain a GPA of 3.5 in their program of study (all courses on the Form 1).
Transfer Credits
Unknown.
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SMU SEP Benchmarking Team
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Time Limits
Unknown.
Examinations
Preliminary Examination
None listed on web.
Qualifying Examination
The qualifying examination is the principal means of determining whether a
student will qualify as a candidate for the doctoral degree and progress to the
second stage of the program. Its purpose is to ascertain that the student's
background and intellectual development are adequate to support doctoral
research in the central field.
Description
The Qualifying examination consists of 2 parts: Quantitative Methods Exam and
Focus Area Exam.
Quantitative Methods Exam (Written)
The Quantitative Methods Exam will be a 3 hour written exam offered the last
week in September and the last week in January. Students should apply to take
this exam before the end of the preceeding Semester. This exam will consist of a
1 hour exam covering EMSE 271 and a 1 hour exam covering either EMSE 208,
EMSE 254 or EMSE 273. Students should fill out the DQE checklist and either
fax or mail to the department, attention Ms. Zoe Danzan.
Focus Area Exam (Written And Oral)
The Focus Area Exam will be both a written and oral exam. Students will take
this exam the first semester following the completion of their coursework.
Students should register for EMSE 399 for the semester in which they will be
taking the exam. Students will be required to complete a 10 page literature
review on a topic in their focus area. They will have two weeks to complete the
review. At the end of the two weeks they will be required to submit the review to
a committee of three faculty members (the advisor, one faculty member
appointed by the chair, and one additional faculty member). The student along
with their faculty advisor will then schedule their oral exam. Oral exams will be
approximately one hour long.
Re-Takes
At the discretion of the committee a student who fails any part of the qualifying
examination may be given a second opportunity to qualify for candidacy. Usually,
the entire examination must be retaken.
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SMU SEP Benchmarking Team
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Students who fail to qualify for candidacy in a doctoral program of the School will
be considered to have failed on a school-wide basis and will not be admitted to
further doctoral study within the School.
Candidacy
After successful completion of the DQE, the candidate's advisor will present the
academic record of the candidate and request the formation of a research
committee. The Department will vote on (provisional) admission to candidacy and
the research committee. Once the student is admitted to candidacy for the
degree; he/she begins specialized study and research under the supervision of
their research committee. At this point the research committee will remain fixed
unless a change is formally requested and approved.
Delivery Modes
On-campus masters programs are also offered in other Virginia locations:
Alexandria, Arlington, Loudoun, and Newport News. Most appear to be in
weekend cohort format in an accelerated schedule with class meetings on
Saturdays.
Related Degrees
Accelerated Doctor of Science in Systems Engineering
At A Glance
This accelerated doctoral program enables professionals employed full-time to
pursue doctoral study and research on weekends - alongside like-minded fellow
students.
• Course work completed in one year
• Classes meet on Saturdays
• Degree program completed in three years
• GRE or GMAT not required
Accelerated Doctor of Science Program Description
The EMSE doctoral program at the Hampton Roads Center enables
professionals who are employed full-time to pursue doctoral study and research
on weekends. In an intense, focused environment, students attend all courses
together as a cohort throughout the program. The program leads to the Doctor of
Science degree in Systems Engineering.
Admissions Criteria
Students applying for admission to the accelerated Doctor of Science (D.Sc.)
degree program must meet the entrance requirements of the School of
Engineering and Applied Science.
Previous Degrees (MS)
A master’s degree with a minimum grade average of 3.5 on a 4.0 scale from a
recognized institution is required.
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SMU SEP Benchmarking Team
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Credit Hours (30)
Classroom experience of ten graduate-level three-semester-hour courses
culminating in the doctoral qualifying examination.
Dissertation Credits (24)
A research effort of at least 24 semester hours of dissertation research
culminating in the dissertation defense.
Qualifying Exam/Dissertation
After completing the course work and passing the doctoral qualifying
examination, the student writes an original dissertation in Systems Engineering,
which focuses on innovation in theories governing the structure, operations, and
management of technical and scientific organizations.
Accelerated Doctor of Science Program Course Descriptions
EMSE 208 Stochastic Foundations of Operations Research
Topics in probability theory, stochastic processes, and statistical inference.
Foundations of probability, conditional probability and expectation, Poisson
processes, Markov chains, and Brownian motion.
EMSE 216 Research Methods for the Engineering Manager
Advanced course in research, experimental, and statistical methods for
engineering management doctoral and master’s students who must write a thesis
or dissertation.
EMSE 237 Logistics Planning
Quantitative methods in model building for logistics systems, including
organization, procurement, transportation, inventory, maintenance, and their
interrelationships. Stresses applications.
EMSE 271 Data Analysis for Engineers and Scientists
Design of experiments, data collection. Regression, correlation, and prediction.
Multivariate analysis, data pooling, data compression. Model validation.
EMSE 273 Discrete Systems Simulation
Simulation of discrete stochastic models. Simulation languages. Randomnumber/random-variate generation. Statistical design and analysis of
experiments, terminating/nonterminating simulations; comparing system designs.
Determination of input distributions. Variance reduction. Validation of models.
EMSE 280 Techniques of Risk Analysis and Management
Topics and models in current risk analysis; modern applications of riskbased
planning and risk management; use of quantitative methods in risk analysis.
EMSE 281 Reliability Theory I
Mathematical theory: coherent structures; association of random variables,
stochastic characterization of wear, preservation theorems, bounds and
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SMU SEP Benchmarking Team
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inequalities. Statistical theory: probabilistic derivation of failure models; Bayesian
methods. Life testing survival analysis, expert opinion.
EMSE 287 Decision Support Systems and Models
Theory of decision making—a cognitive view. Modeling decision maker heuristics
and processes. Design, implementation, and evaluation of state-of-the-art DSS
(hands-on). Assess impact of behavioral, situational, and organizational
variables.
EMSE 288 Technology Issue Analysis
Contextual background and intellectual basis for addressing technology issues in
the public and private sectors. Technology impact assessment, forecasting, and
innovation; principles and practices of technology transfer as elements of a
systematic approach to making technology decisions.
EMSE 292 Special Topics: Advanced Systems Engineering
Advanced topics from systems engineering literature for analysis, presentation,
and discussion. Reading assignments from professional journals selected by the
instructor and the student. Advanced applications of systems engineering tools
and techniques; student projects.
EMSE 399 Dissertation Research
No fewer than 24 hours of EMSE 399 satisfy the requirements for the doctoral
degree. EMSE 399 is used to search the literature, conduct research, write the
dissertation. The candidate defends the dissertation in the Final Examination
(dissertation defense).
Student Statistics
Not available from website
Core Faculty and Affiliation
The faculty are shown in the areas of focus.
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Research section of website is under construction.
Areas of Focus
The Engineering Management and Systems Engineering Department has seven
areas of focus that represent the department's teaching and research interests.
Two areas of focus are Systems Engineering particular.
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Areas of focus allow graduate students to become specialized in a particular
field.
Operations Research and Management Science (ORMS)
Area of Focus Committee
 Dr. Hernan Abeledo (Chair)
 Dr. Enrique Campos-Nanez
 Dr. Frank Fiedrich
 Dr. Gideon Frieder
 Dr. Thomas A. Mazzuchi
 Dr. Richard M. Soland
 Dr. Johan R van Dorp
Program Overview
OR/MS uses quantitative modeling to improve the planning and decision making
in organizational systems composed of people, machines, and procedures.
OR/MS models usually account for such real-world complexities as uncertainty,
multiple objectives, constraints, and the relationships among the various parts or
subsystems that constitute the system being studied. The OR/MS Concentration
is intended for students who wish to pursue careers as quantitative analysts who
conduct OR/MS studies and analyses, and hence construct and exercise
mathematical models, collect and/or analyze data, utilize and implement
algorithms, and develop methodology as necessary.
Systems Engineering
Area of Focus Committee
 Dr. Howard Eisner (Chair)
 Dr. Hernan Abeledo
 Dr. Enrique Campos-Nanez
 Dr. Jonathan P Deason
 Dr. Michael R. Duffey
 Dr. Marvine P. Hamner
 Dr. Theresa L. Jefferson
 Dr. Thomas A. Mazzuchi
 Dr. Michael A. Stankosky
 Dr. Johan R van Dorp
Program Overview
Provides broad knowledge of the "systems approach" for designing and
managing large-scale engineering systems throughout the life cycle. Topics
include elements of systems engineering, methods and standards, architecting,
computer tools that support systems and software engineering, trends and
directions, and the integrative nature of systems engineering. Case studies and
methodologies from NASA, DoD and U.S. corporations are explored.
Refer to Citation Disclaimer
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May 2008
massachusetts institute of technology
Institution:
Massachusetts Institute of Technology
School:
School of Engineering
Division:
MIT's Engineering Systems Division
Degree:
Doctor of Philosophy in Engineering Systems
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MIT's Engineering Systems Division ................................................................... 29
Doctor of Philosophy Degree Description ........................................................... 29
Mission ................................................................................................................ 29
Admissions Criteria ............................................................................................. 30
Previous Degrees (BS or MS) ............................................................................. 30
GRE Required (Yes) ........................................................................................... 30
Program Requirements ....................................................................................... 30
Major and Minor Subjects ................................................................................... 30
Residency ........................................................................................................... 30
Minimum Credit Hour Load ................................................................................. 30
Total Credit Hours (Unknown)............................................................................. 30
Credit Hours Beyond Master’s ..................................................................... 30
Credit Hours Without Master’s Degree ........................................................ 31
Dissertation Credits ..................................................................................... 31
Course Prerequisites .......................................................................................... 31
Academic Standing ............................................................................................. 31
Transfer Credits .................................................................................................. 31
Time Limits ......................................................................................................... 31
Examinations ...................................................................................................... 31
Doctoral Exams................................................................................................... 31
Re-Takes ..................................................................................................... 32
Dissertation Defense........................................................................................... 32
Candidacy .................................................................................................... 33
Delivery Modes ................................................................................................... 33
Distance Learning ............................................................................................... 33
Related Degrees ................................................................................................. 33
Student Statistics ................................................................................................ 33
Core Faculty and Affiliation ................................................................................. 33
Program Statistics ............................................................................................... 34
Areas of Expertise............................................................................................... 34
Research ............................................................................................................ 34
MIT Portugal Program ................................................................................. 34
Center for Engineering Systems Fundamentals .......................................... 34
Center for Technology, Policy, and Industrial Development (CTPID) .......... 35
MIT Center for Transportation & Logistics ................................................... 35
Council of Engineering Systems Universities............................................... 35
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MIT's Engineering Systems Division
MIT’s Engineering Systems Division (ESD) represents a bold educational
initiative aimed at establishing Engineering Systems as a field of study and
advancing theory, policy and practice in this domain. Within MIT, ESD is an
interdisciplinary academic unit that spans most departments within the School of
Engineering, as well as MIT's School of Science, School of Humanities, Arts, and
Social Sciences, and MIT Sloan School of Management.
ESD brings together faculty and students with engineering and management
professionals interested in researching large-scale, complex engineering
systems. The division focuses on complex, technology-based products (i.e.,
automobiles, airplanes, etc.) and systems (i.e., transportation,
telecommunications, energy, etc.) While technology is a fundamental part of
these systems, so too are issues of managerial and, more generally, societal
interactions.
Over 50 faculty and researchers, most holding dual or joint appointments within
ESD and one of the aforementioned units, are devoted to teaching and research
in the emerging field of Engineering Systems. Approximately 300 students are
enrolled in ESD's five Master's programs, plus about 60 students in our Ph.D.
program. All are working together to understand, model, and predict the behavior
of technologically-enabled complex systems in order to help the engineering
profession address contemporary critical issues and better serve humankind.
Doctor of Philosophy Degree Description
The Engineering Systems Division (ESD) at MIT is helping to pioneer
Engineering Systems as a new field of study – designed to transform engineering
education and practice.
The main objective of the ESD Ph.D. program is to prepare colleagues who can
seed engineering schools with the integrative ideas of engineering systems. Our
alumni whether working in academia, government, the private sector, or public
service have found the rigorous and individualized program to provide the
foundation for challenging careers.
Mission
The ESD doctoral research programs conduct original and generalizable
scholarship on complex engineered systems in order to advance theory, policy,
or practice.
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Admissions Criteria
Previous Degrees (BS or MS)
Applicants should have an undergraduate degree in engineering or applied
science, an interest in the intelligent development of complex technological
systems and excellent academic records. Beyond education, relevant work
experience is a definite plus.
Students can be admitted with or without a Master’s degree. Those that do not
have one will be expected to do research of the kind that could lead to an ESD
S.M. (but they will not be obliged to submit a thesis and obtain this degree).
GRE Required (Yes)
For both Ph.D. and S.M. applicants, the minimum Graduate Record
Examinations, GRE, scores are: 550 on the Verbal section (450 for non-native
speakers), 700 on the Quantitative section and 4.5 on the Analytical Writing
section.
Please understand that admissions are competitive, and our intent in publishing
these minimums is to provide a useful guide to potential applicants. Additionally,
please note that test scores are only one of the requirements for admission. The
Admissions Committee also reviews transcripts, congruence of applicant
interests with faculty capabilities and interests, letters of recommendation from
faculty and professionals who can validate the candidate's capabilities, and
maturity in approaching the subject.
All applicants not already in MIT Graduate School are required to take the GRE
general test. Subject tests are not required.
Program Requirements
Major and Minor Subjects
Not listed on web.
Residency
The Ph.D. is a full-time, residential program. An expression of our general
collective belief is that doctoral students learn a lot about how to think deeply
about issues, and how to do research, by sustained interaction with their faculty
and peers.
Minimum Credit Hour Load
Not listed on web.
Total Credit Hours (Unknown)
Credit Hours Beyond Master’s
Not listed on web.
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Credit Hours Without Master’s Degree
Not listed on web.
Dissertation Credits
Not listed on web.
Course Prerequisites
Not listed on web.
Academic Standing
Not listed on web.
Transfer Credits
Not listed on web.
Time Limits
Not listed on web.
Examinations
Doctoral Exams
Doctoral Exams are sets of exams, also referred to as General Exams, designed
to validate the readiness of the student to undertake and complete doctoral work.
They are based on the required material and in-depth courses, but do not
replicate the class exams. Rather, the Doctoral Exams explore and validate the
candidate’s aptitude for doctoral research, both in terms of capability to
understand a body of material in depth, and to formulate and do research.
The General Examination has two phases: a written and oral portion. The written
consists of four in-depth questions answered on four consecutive days. The oral
includes both a short presentation by the student and committee questions.
Candidates should take these exams by the end of their 4th semester in
graduate school at MIT for those who came without a Master's and by the end of
the 3rd for those who arrived with a Master’s degree. Recognizing that students
come to us with a variety of backgrounds, the faculty will make exceptions where
justified, keeping in mind the basic idea of timely assessment. Following these
guidelines will prevent students who cannot demonstrate their aptitude and
preparation for doctoral research from wasting time and resources.
The written exam focuses on the curriculum required of doctoral students and
further in-depth courses. This exam is designed to test the student’s capability to
respond to questions about their field. It is not a replication of final exams for
individual subjects.
It consists of:
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
1 “1 day/8 hour” integrative question looking at Engineering Systems
generally. Students in both tracks – TMP and ESD – will receive the same
question.
 3 “1 day/8 hour” questions on the required subjects and the student’s indepth specialization
Each written exam is emailed or picked up, on each of the four days, at 9:00am
and must be returned to the Student Office by 5:00pm. This is an open-book
exam.
The oral examination focuses on the student’s research topic and takes about
1.5 hours. First the student makes an oral presentation of 20 - 25 minutes. The
faculty will ask follow-up questions on the presentation and the written exam, if
needed. This is not a thesis-topic defense. The oral is designed to determine the
capability of the candidate to conduct doctoral research in ESD and offer
guidance on how to proceed.
The presentation describes the candidate’s research, provides a literature
review, outlines the research method, describes how evidence will be acquired
and, in general, demonstrates the candidate’s capacity for integrative, in-depth
investigation of a subject. The presentation should be done using PowerPoint
with copies of the slides made available to the examining committee. This
presentation may be the outcome of thesis research, a course or independent
study. The candidate should circulate, 10 days in advance, a research report of
about 20 pages.
This exam is the process by which the faculty vets the capability of the
candidates to conduct doctoral research in ESD. The principle here is that the
ESD faculty as a whole are examining and qualifying students for the ESD
doctoral program. Specifically, the written and oral exams are run by the chair of
the ESD Education Committee, with the guidance of the student’s Doctoral
Committee. The presentation is also attended by members of the Education
Committee which represents the ESD faculty; however, all faculty and research
staff are welcome to attend.
These exams are Pass/Fail. In practice, the following outcomes are possible:
 Pass both written and oral portions
 Pass one or the other portion, but not both
 Fail both portions
Re-Takes
Normally, the student who has not passed the entire exam or does not pass a
portion of the exam is encouraged to re-take what is needed for a pass. Nobody
is allowed to take the exam more than twice.
Dissertation Defense
You will want to give yourself 2 to 4 weeks after you defend to make the
recommended changes to your dissertation. With that in mind, please schedule
defenses with time to spare.
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Defenses should be scheduled as follows:
June graduation – April to early May
September graduation – July to early August
February graduation – early December to mid-January
You defend to the ESD Faculty. Normally about 8 to 10 faculty members attend.
The Defense is chaired by the chair of the ESD Education Policy Committee or
by another senior faculty member as a substitute.
You should coordinate a suitable date and time with both the ESD Education
Committee, via the ESD Academic Administrator, and your committee members.
This should be done as early as possible or about a month in advance so that the
ESD community can be notified of this event.
The ESD Community is invited to your dissertation defense. Normally you may
expect around 15 other doctoral candidates and guests will attend.
Yes. Deliver a copy of your dissertation to the Academic Office, E40-249, at least
2 weeks prior to your defense so faculty and others wishing to preview it may
have access.
Candidacy
Delivery Modes
The Ph.D. is a full-time, residential program. An expression of our general
collective belief is that doctoral students learn a lot about how to think deeply
about issues, and how to do research, by sustained interaction with their faculty
and peers.
Distance Learning
Not available according to web search.
Related Degrees
Student Statistics
Approximately 60 Ph.D. and 300 M.S. students.
Core Faculty and Affiliation
ESD faculty hold innovative dual appointments that commit their time and efforts
to both an academic department and to the Division. These dual appointments
support the development of new interdisciplinary frameworks and methodologies
that define engineering systems as a field of study while faculty remain keenly
involved with their engineering, management, or social science departments.
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ESD's mission has already attracted over 50 faculty and teaching staff from six
engineering departments, and MIT Sloan School of Management and MIT's
School of Science and School of Humanities, Arts, and Social Sciences.
MIT is committing additional faculty and financial resources to ESD to assure the
program's growth. ESD is currently seeking new faculty at all levels to create
innovative educational programs and to conduct scholarly research in the field of
engineering systems.
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Research
ESD initiates research focused on science and technology issues of national and
international importance. These studies, which range from next generation
manufacturing to global telecommunications delivery, build on $20 million a year
in research activity at ESD centers and programs.
As a vital part of engineering systems education, ESD faculty and students work
with hundreds of enterprises and have forged novel industry-governmentacademic relationships.
MIT Portugal Program
The MIT Portugal Program is a strategic investment in people, knowledge, and
ideas designed to encourage enhanced collaborative programs in research and
education among Portuguese universities and institutions, to perform basic
research and education, and to strengthen the country's knowledge base.
MIT’s role in the MIT Portugal Program will be to pursue its basic research and
teaching in the “Focus Areas” of the Program and to collaborate on activities
implemented in Portugal. The Focus Areas include engineering design and
advanced manufacturing; transportation systems; energy systems; bioengineering systems; and engineering systems.
Center for Engineering Systems Fundamentals
ESD’s Center for Engineering Systems Fundamentals was founded in
September 2005 to conduct research on the fundamentals and cross-cutting
issues in Engineering Systems.
CESF is engaged in several areas, among them developing seminars and other
mechanisms to discuss Engineering Systems fundamentals; collaborating with
faculty to bring in resources for CESF and shape its relationships with ESD’s
other research centers, the Center for Technology, Policy, and Industrial
Development and the Center for Transportation and Logistics; sponsoring an
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Engineering Systems book series and a biannual international symposium on
Engineering Systems fundamentals; and overseeing the Learning International
Networks Consortium (LINC).
Center for Technology, Policy, and Industrial Development (CTPID)
The Center for Technology, Policy, and Industrial Development (CTPID), a multiindustry research enterprise, applies intellectual tools from engineering,
management, and the social sciences to critical industry issues. CTPID's ten
research programs investigate sustainable global solutions to challenges in
aerospace, automotive production and transportation, Internet technology and
policy, materials systems, and technology and law. Over 80 corporations and
government agencies support CTPID research. CTPID recently sponsored a
conference entitled The Third Wave: Industry Opportunities for the InternetEnabled Future, which explored the technological, business, and policy forces
shaping the future of the Internet and creating new industry challenges.
Motorola, Eastman Kodak Company, and Compaq Computer Corporation are
among the 24 industry partner companies that support Leaders for Manufacturing
Program research on topics such as the organizational dynamics of change,
large system development, and multi-step manufacturing flows.
MIT Center for Transportation & Logistics
The MIT Center for Transportation & Logistics is the world's leading center for
research in supply chain management and logistics. The Center’s worldrenowned research programs span every aspect of supply chain management
and directly involve over 75 faculty and research staff from a wide range of
academic disciplines, as well as researchers in various affiliate organizations
around the world. For example, the MIT-Zaragoza International Logistics
Program, established by CTL in 2003 with the University of Zaragoza, the
government of Aragón, industry partners, and the PLAZA logistics park in
Zaragoza, Spain, is a unique research and education partnership that brings
together the supply chain interests of academia, industry and government -- all
linked to the development of the largest and most up-to-date logistics park in
Europe. This partnership allows researchers from MIT and the Zaragoza
Logistics Center (ZLC) to experiment with new logistics processes, concepts and
technologies and to move research findings quickly into practice. To develop
business leaders, MIT-Zaragoza offers graduate and executive education, in
English, to students from around the world.
Council of Engineering Systems Universities
The Council of Engineering Systems Universities (CESUN) was established in
2004 by universities offering educational and research programs in engineering
systems. CESUN membership includes over 30 universities in North America,
Europe, Asia, and Australia. The Council provides a mechanism for the member
universities to work together developing engineering systems as a new field of
study. An overall objective of the Council is to broaden engineering education
and practice.
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CONTACT OU
2200 N. Squirrel Road
Rochester, MI 48309-4401
(248) 370-2100
Institution:
Oakland University
School:
(SECS)
School of Engineering and Computer Science
Department:
Department Industrial and Systems Engineering
Degree:
Doctor of Philosophy in Systems Engineering
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Industrial and Systems Engineering at Oakland University ................................. 39
Department of Industrial and Systems Engineering Mission ............................... 39
Program Educational Objectives ......................................................................... 39
Doctor of Philosophy in Systems Engineering Degree Description ..................... 39
Ph.D. Discipline Specializations .......................................................................... 40
Systems approach .............................................................................................. 40
Academic program .............................................................................................. 41
Admissions Criteria ............................................................................................. 43
Previous Degrees (BS or MS) ............................................................................. 44
GRE Required (Yes) ........................................................................................... 44
Program Requirements ....................................................................................... 44
Major and Minor Subjects ................................................................................... 44
Residency ........................................................................................................... 44
Minimum Credit Hour Load ................................................................................. 45
Credit Hours Beyond Master’s (24) ..................................................................... 45
Credit Hours Without Master’s Degree (56) ........................................................ 45
Dissertation Credits (24) ..................................................................................... 45
Course Prerequisites .......................................................................................... 45
Academic Standing ............................................................................................. 45
Transfer Credits .................................................................................................. 45
Time Limits ......................................................................................................... 46
Examinations ...................................................................................................... 46
Comprehensive Examination (Written and Oral) ................................................. 46
Re-Takes ..................................................................................................... 46
Dissertation Proposal .......................................................................................... 46
Dissertation ......................................................................................................... 46
Final Examination ............................................................................................... 46
Candidacy .................................................................................................... 47
Delivery Modes ................................................................................................... 47
Distance Learning ............................................................................................... 47
Related Degrees ................................................................................................. 47
Master of Science in Industrial and Systems Engineering .................................. 47
Master of Science in Engineering Management ................................................. 47
Student Statistics ................................................................................................ 47
Core Faculty and Affiliation ................................................................................. 47
ISE Personnel ..................................................................................................... 47
Program Statistics ............................................................................................... 48
Areas of Expertise............................................................................................... 48
Centers in Industrial and Systems Engineering .................................................. 48
Laboratories in Industrial and Systems Engineering ........................................... 48
Stephan and Rita Sharf Computer Integrated Manufacturing Laboratory (21
SEB) ............................................................................................................ 48
Artificial Intelligence and Manufacturing (AIM) (21 SEB) ............................. 49
Remote Design/Manufacturing Lab (163A Dodge Hall) ............................... 49
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Industrial and Systems Engineering at Oakland University
Industrial and systems engineering is a discipline with roots in a diverse
spectrum of engineering fields including the understanding and application of
techniques for work measurement, ergonomics, optimization, facility layout,
engineering economic analysis, and life cycle processes. The Industrial and
Systems Engineering Department applied this diversity in developing an
industrial and systems engineering program that focuses on the application of
these skills into a particular domain. Typical domains addressed by industrial and
systems engineering include manufacturing, health care, logistics, racing, service
industries, and others. The coordination of engineering tasks and the assembly
of a complex array of human and engineering subsystems into a holistic solution
are typical of the industrial and systems approach to problem solving and design.
Department of Industrial and Systems Engineering Mission
The Department of Industrial and Systems Engineering carries out the mission of
the School of Engineering and Computer Science by offering an undergraduate
major in Industrial and Systems Engineering. The department also offers
master's programs in Industrial and Systems Engineering as well as in
Engineering Management in cooperation with the School of Business
Administration, and a doctoral program in Systems Engineering.
Program Educational Objectives
The objectives of the Industrial and Systems Engineering program are to produce
graduates who:
 can design complex human and engineering systems composed of
diverse components that must interact in prescribed ways to meet
specified objectives;
 can apply laboratory and computer skills to engineering analysis and
design;
 are prepared to pursue successfully graduate study in industrial and
systems engineering or a related discipline;
 can function successfully in the automotive and other global industries;
 can be effective in a variety of roles such as developing and implementing
solutions to problems with technical and non-technical elements, serving
as a team member and leading others;
 are proficient in written and oral communications; and
 have high standards of personal and professional integrity and ethical
responsibility.
Doctor of Philosophy in Systems Engineering Degree
Description
The field of engineering has evolved into a blending of disciplines that is well
suited for dealing with such concerns as industrial and production systems,
robotics, material handling and manufacturing systems, computer and
microprocessor systems, artificial intelligence and expert systems. These are
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some of the areas the School of Engineering and Computer Science is
concentrating its efforts on at the Ph.D. level.
The Ph.D. program in systems engineering is for students who plan careers in
industrial or governmental research and development laboratories or problemoriented agencies, as well as in the academic field. Students can begin doctoral
study on a part-time basis, availing themselves of late afternoon or evening
courses while working full time in local industry. However, later phases of study
and research will require full-time devotion to the program. Students must also
fulfill a residency requirement.
Ph.D. Discipline Specializations
In keeping with the programs of study that are currently available through the
Computer Science and Engineering Department, Electrical and Systems
Engineering Department, and Mechanical Engineering Department, the student
can follow any one of the following discipline specializations, depending upon his
or her previous background and training.
 Computer Systems: The work in this discipline may be focused on
hardware and software system design, artificial intelligence and expert
systems, computer communication systems including parallel and
distributed computing, computer graphic systems, computer vision and
multimedia systems, pattern recognition and data mining, and software
engineering systems.
 Control Engineering and Dynamic Systems: The work in this discipline
may be focused on adaptive, intelligent, digital and optimal control
systems, modeling and estimation of dynamic systems, robotic systems,
fuzzy logic and neural network-based control systems.
 Electrical Engineering Systems: The work in this discipline may be
focused on digital image and signal processing, microelectronic circuits
and systems including VLSI, instrumentation and measurement systems,
electromagnetic systems, and analog and digital communication systems.
 Manufacturing Processes and Systems: The work in this discipline may
be focused on manufacturing processes including machining, metal
forming, materials, automated inspection and evaluation systems,
integrated manufacturing systems, flexible manufacturing systems,
artificial intelligence in manufacturing systems, scheduling and systems
integration.
 Mechanical Engineering Systems: The work in this discipline may be
focused on engineering mechanics systems involving acoustics,
vibrations, classical/experimental mechanics and nondestructive testing;
fluid and thermal energy systems involving phase change, combustion,
and energy transfer and conversion; tribology systems involving friction,
lubrication and wear; and general manufacturing processes systems.
Systems approach
The field of systems engineering recognizes the inter-disciplinary nature of
engineering, particularly in the areas of robotics, electronics, communications,
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mechanics, manufacturing systems, fluid and thermal systems, dynamic systems
and control, computer hardware and software systems, software engineering,
artificial intelligence and expert systems. The successful analysis and design of
complex engineering systems in each of these areas involve two major
perspectives. The first perspective, characterized by viewing individual elements
of any phenomenon, process or system as being inter-related, with the form of
the relationship influencing the behavior of the whole, requires that a systems
approach be taken in the analysis, modeling or synthesis of the phenomenon,
process or system under consideration. The second perspective is disciplinespecific and requires a detailed understanding of the fundamental physical
principles or concepts associated with the particular system under study.
A direct benefit of the above approach to problem solving is that it ties the
contributions made to the fundamental knowledge in the field with the nuances
and constraints imposed by the environment on the specific problem under
investigation. In other words, it makes the engineering research sensitive and
relevant to practical applications. For example, consider the problem of computer
vision. Research in this area will involve the fundamental principles of pattern
recognition, digital signal processing, image enhancement, data communication,
etc. However, a computer vision system that is associated with robotics in a
classical or flexible assembly line manufacturing environment would be subjected
to very different environmental conditions and constraints than would a computer
vision system on an all-terrain, ground-based vehicle. Integration of such
fundamental research, while recognizing the interaction with the environment,
lends itself to a systems approach to problem solving.
It is this broad definition of engineering systems that forms the corner-stone of
the Ph.D. program in systems engineering at Oakland University. The program is
multi-disciplinary, drawing its strength and resources from the entire faculty of the
School of Engineering and Computer Science.
Academic program
Because of the importance of the two perspectives outlined above, the Ph.D.
program in systems engineering has two major components: systems concepts
and discipline-specific options. The courses in the first component provide the
necessary knowledge to apply a systems approach to problem solving. The
systems concepts required for the analysis and design of continuous systems are
different from those required of discrete systems. Therefore, two tracks of
courses have been identified to address the systems approach to these two
different classes of systems. The two sets of courses are:
Continuous Systems (12 credits)
 SYS 520 Signal and Linear Systems Analysis or ME 610 Continuum
Mechanics
 APM 541-542 Mathematical Analysis for Engineers, I and II
Discrete Systems (12 credits)
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


or

SYS 569 Computer Simulation in Engineering
APM 563 Discrete Mathematics I
APM 564 Discrete Mathematics II
APM 581 Theory of Computation
Every student in the systems engineering Ph.D. program is required to elect one
of these two tracks.
Once the systems approach to problem solving has been established, a student
will study several specific depth areas which relate to his/her research interest.
These courses provide the discipline-specific component of the Ph.D. program.
The student will concentrate on at least two of these areas, the selection of which
will be the concerted effort of the student and the advisory committee. Although a
student is expected to specialize in either continuous systems or discrete
systems, he/she may select courses from other areas as deemed appropriate.
The current discipline-specific options offered by the School of Engineering and
Computer Science include:
Continuous Systems
Optimal Control
Numerical Techniques
Manufacturing Processes
Dynamic Systems
Robotics
Quality and Reliability
Advanced Systems Theory
Tribology
Optimization and Decision Theory
Microelectronics, VLSI
Analog and Digital Communications
Energy Systems
Thermal Energy Transport
Signal and Image Processing
Fluid Transport
Instrumentation and Measurement
Experimental Stress Analysis
Electromagnetics
Solid Mechanics and Materials
Intelligent and Adaptive Control
Dynamics, Vibrations and Noise
Digital Control
Automotive Mechatronics
Discrete Systems
Manufacturing Systems
Computer Communications
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Computer Integrated Manufacturing
Artificial Intelligence
Flexible Manufacturing Systems
Software Engineering
Graphics and CAD/CAM
Theory of Computing Systems
Computer Hardware Design
Microprocessor Systems
Software Systems
Parallel Processing
Pattern Recognition
Data Mining
Computer Vision
Multimedia Systems
For example, a student interested in robotics would be required to take the
continuous systems track and may elect the following three discipline-specific
options: robotics, dynamic systems and microprocessors. These three options
not only cross the boundaries of the two classes of systems but also include
courses from all three departments within the School of Engineering and
Computer Science, yet they form a cohesive and intensive research program.
This multidisciplinary approach is one of the unique features of the systems
engineering Ph.D. program at Oakland University.
The requirement for the Ph.D. is completion of a unified program of formal course
work, as specified above, and independent research, directed and approved by
the advisory committee. While the courses and examinations for a particular
student are specified by the advisory committee, all programs are subject to the
following general regulations.
Admissions Criteria
The Ph.D. programs are designed for students with academic backgrounds in
engineering. Students with backgrounds in computer science, mathematics or
the physical sciences may also be admitted to the program, but they will be
required to build up basic engineering knowledge through remedial course work.
Normally a master’s degree from an accredited institution is required for
admission; however, students with outstanding undergraduate records may apply
directly for admission to the doctoral programs. Admission is highly selective;
applicants should present transcripts of all previous academic work and
recommendations from three faculty members of their most recent study program
who can evaluate their scholarly achievement and potential. Applicants must
submit scores from the Graduate Record Examination (GRE) if they graduated
from an institution not accredited by a regional accrediting agency. The Test of
English as a Foreign Language (TOEFL) must be submitted by applicants who
are graduates of programs taught in a language other than English.
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Previous Degrees (BS or MS)
The Ph.D. programs are designed for students with academic backgrounds in
engineering. Students with backgrounds in computer science, mathematics or
the physical sciences may also be admitted to the program, but they will be
required to build up basic engineering knowledge through remedial course work.
Normally a master’s degree from an accredited institution is required for
admission; however, students with outstanding undergraduate records may apply
directly for admission to the doctoral programs.
GRE Required (Yes)
Applicants must submit scores from the Graduate Record Examination (GRE) if
they graduated from an institution not accredited by a regional accrediting
agency.
Program Requirements
Major and Minor Subjects
Because of the importance of the two perspectives outlined above, the Ph.D.
program in systems engineering has two major components: systems concepts
and discipline-specific options.
Residency
Writing a doctoral dissertation requires a full commitment to research. Such
research cannot be effectively pursued in an environment which places research
in a secondary role. Doctoral students are required to be full-time students for at
least one year of their active dissertation research. The doctoral student should
arrange such a period of residency by (1) registering for at least 8 credits of
doctoral dissertation research for two consecutive semesters, and (2) making a
commitment, in a statement addressed to his/her advisory committee, to a
program of full-time (at least 20 hours per week) research. The above
represents the normal residency requirement. However, if the present
occupation of the candidate (e.g., industrial research or teaching) is conducive to
the intended research, there is an alternative method to fulfilling the residency
requirement. To arrange for that kind of residency, the candidate must apply in
writing to his/her advisory committee at the time of the dissertation proposal
review. The committee must be furnished with a written statement by the
candidate’s employer confirming that the dissertation research constitutes a
major portion of the job assignment. If the advisory committee grants permission
to pursue this option, the student must enroll in doctoral dissertation research (8
credits maximum) for at least two consecutive semesters.
The work of Ph.D. students described in the above paragraph will be
documented by term reports, reviewed and accepted by the chair of the advisory
committee. A copy of every report will be kept in the student’s file. The advisory
committee will review these reports. If the progress is unsatisfactory or the
student and the employer are unable to fulfill the terms of the residency
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agreement, the advisory committee can declare the residency requirements
unfulfilled.
Minimum Credit Hour Load
The normal fulltime load is 8 to 12 credits per semester.
Total Credit Hours (80)
Credit Hours Beyond Master’s (24)
Students who have earned a master’s degree may petition to have a maximum of
32 credits applied toward the 56.
Credit Hours Without Master’s Degree (56)
At least 56 credits must be earned for course work beyond the bachelor’s degree
(exclusive of dissertation). The normal fulltime load is 8 to 12 credits per
semester. Students who have earned a master’s degree may petition to have a
maximum of
32 credits applied toward the 56. The advisory committee will evaluate the
student’s prior master’s degree work and allow Ph.D. credits for courses relevant
to the proposed Ph.D. course of study. All candidates must complete at least 24
credits of additional course work exclusively at Oakland University. In the Ph.D.
program, credit will not be awarded for courses in which a grade less than 3.0 is
earned. All numerical grades earned are used in computing a student’s grade
point average.
Dissertation Credits (24)
Students who have advisory committee approval of their dissertation proposals
and are conducting research should register for EGR 790 or ME 790. At least 24
research credits are required of all doctoral candidates. However, merely
amassing credits does not indicate satisfactory progress toward or completion of
the dissertation. These judgments are made by the advisory committee. The
dissertation is judged completed upon successful completion of the final
examination and acceptance of the dissertation by the Office of Graduate Study.
Course Prerequisites
Not listed on web.
Academic Standing
Not listed on web.
Transfer Credits
Students who have earned a master’s degree may petition to have a maximum of
32 credits applied toward the 56.
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Time Limits
Students have a seven-year time limit to complete all requirements for the Ph.D.,
beginning with the first term of enrollment in the program. Credits earned prior to
entry into the program will be evaluated by the advisory committee for their
currency before completion of 24 credits of doctoral course work at Oakland
University by the student. Course work that is determined to be outdated will not
be applicable toward the degree.
Examinations
Comprehensive Examination (Written and Oral)
Each student is required to take a comprehensive examination after the student
has completed all of his/her course work, but before completing no more than 8
credits of dissertation research. The examination is designed to assess the
student’s analytical reasoning, theoretical under-standing and preparedness to
do independent research. The examination is composed of a written component
and an oral component. The written examination includes at least two disciplinespecific areas relevant to the student’s course work and research interest. The
student’s advisory committee, based on the student’s preparation, selects the
areas for the examination. The oral examination follows within a month of the
written examination. The written examination is commonly split into no more than
three parts to be taken over a reasonable period of time (usually not to exceed
one month).
Re-Takes
A student may repeat the comprehensive examination once.
Dissertation Proposal
As soon as a candidate and the advisory committee chair agree on a specific
research topic, the candidate must write a dissertation proposal. This document
contains a formulation of the problem, the background work leading to the
formulation and a plan for the subsequent research. Candidates must orally
present the proposal to their advisory committees and any other interested
faculty, at which time the committee may question the preparedness of the
student to carry out the research.
Dissertation
Each candidate will submit a dissertation to the advisory committee. The
dissertation must be the candidate’s own work and must constitute a contribution
to knowledge in his/her field of endeavor. All dissertations must conform to
university standards (see “Master’s thesis/doctoral dissertation” in the Policies
and Procedures section of this catalog).
Final Examination
Each Ph.D. candidate must satisfactorily defend the dissertation in a final oral
examination administered by the advisory committee. The examination is taken
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after the advisory committee certifies that the dissertation is ready for final
review. At the committee’s option, one re-examination may be permitted if a
candidate fails to pass the final examination.
Candidacy
Not listed on web.
Delivery Modes
Not listed on web.
Distance Learning
Not listed on web.
Related Degrees
Master of Science in Industrial and Systems Engineering
The Master of Science program in industrial and systems engineering is
designed to prepare students for significant engineering-related careers in
industry as well as simultaneously for further graduate study. Admission is open
to students with a bachelor’s degree in any engineering discipline (industrial and
systems, mechanical, electrical, chemical, civil, etc.).
Master of Science in Engineering Management
The Master of Science program in engineering management is offered by the
School of Engineering and Computer Science in cooperation with the School of
Business Administration. Intended for students with a bachelor’s degree in
engineering or computer science, the program has as its goal the provision of the
tools and skills necessary for making sound management decisions in industry
and business while retaining one’s commitment to a specialized field of
endeavor. Applicants with a computer science background may be required to
take remedial courses in engineering.
Student Statistics
Not listed on web.
Core Faculty and Affiliation
ISE Personnel
Michael P. Polis, Ph.D.
Professor and Chair
Industrial and Systems Engineering Department
642 SEB; (248) 370-2743; Fax: (248) 370-4261
E-mail: polis@oakland.edu
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Patrick E. Dessert, Ph.D.
Associate Professor and Director, PDMC
Industrial and Systems Engineering Department
102p SEB; (248) 370-4896 ; Fax: (248) 370-4891
E-mail: doc_detroit@msn.com
Barbara Oakley, Ph.D., P.E.
Associate Professor
Industrial and Systems Engineering Department
648 SEB; (248) 370-2435; Fax: (248) 370-4633
E-mail: oakley@oakland.edu
Homepage: www2.oakland.edu/users/oakley
Sankar Sengupta, Ph.D.
Assistant Professor
Industrial and Systems Engineering Department
654 SEB; (248) 370-2218; Fax: (248) 370-2699
E-mail: sengupta@oakland.edu
Robert P. Van Til, Ph.D.
Professor
Industrial and Systems Engineering Department
652 SEB; (248) 370-2211; Fax: (248) 370-2699
E-mail: vantil@oakland.edu
Homepage: www.oakland.edu/~vantil
Christian C. Wagner, Ph.D.
Associate Professor
Industrial and Systems Engineering Department
651 SEB; (248) 370-2215; Fax: (248) 370-2699
E-mail: wagner@oakland.edu
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Centers in Industrial and Systems Engineering

Product Development and Manufacturing Center (PDMC)
Laboratories in Industrial and Systems Engineering
Stephan and Rita Sharf Computer Integrated Manufacturing Laboratory (21
SEB)
The S& R Sharf Computer Integrated Manufacturing (CIM) Laboratory is used to
teach Oakland University School of Engineering and Computer Science students
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about computer-controlled equipment used in the manufacturing environment as
well as the integration of this equipment into a flexible manufacturing system in a
very hands-on environment. Students also learn about the integration of people
in the modern manufacturing environment through their involvement in team
based manufacturing projects. This is accomplished by bringing students with
several different responsibilities together as a team working toward a specified
goal.
Artificial Intelligence and Manufacturing (AIM) (21 SEB)
The Oakland University School of Engineering and Computer Science’s Artificial
Intelligence and Manufacturing (AIM) Laboratory is an interdisciplinary facility for
engineering and computer science education. The AIM Laboratory was
conceived to educate both engineering and computer science students
concerning the integration of computer systems in the manufacturing
environment. An important educational enhancement provided by the AIM
Laboratory is that it allows students to integrate such knowledge and
methodologies in order to improve manufacturing processes through the use of
AI techniques.
Remote Design/Manufacturing Lab (163A Dodge Hall)
It is common for products to be designed at one location and manufactured at
other locations. Hence, systems to ensure efficient communications between the
design and the manufacturing facilities are required. In order to allow students to
study the problems associated with this issue, a linkage between the engineering
and manufacturing facilities of Oakland University’s School of Engineering and
Computer Science and the industrial technology facilities of Seaholm High
School in Birmingham, MI has been developed.
The Remote Design/Manufacturing Laboratory serves as the conduit in which
Oakland University engineering and computer science students using Oakland’s
Sharf CIM and AIM laboratories work with Seaholm High School students using
their technology facilities. Oakland students are responsible for the engineering
design and development of products as well as automated manufacturing
systems. The Seaholm students are responsible for technical design issues as
well as constructing the products and manufacturing systems in Seaholm’s
technology facitilities.
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Institution:
Stevens Institute of Technology
School:
School of Systems and Enterprises
Degree:
Doctor of Philosophy in Systems Engineering
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School of Systems and Enterprises .................................................................... 52
Meet the Dean .................................................................................................... 52
School Overview ................................................................................................. 52
Admissions Criteria ............................................................................................. 54
Previous Degrees (MS) ....................................................................................... 55
GRE Required (Yes) ........................................................................................... 55
Program Requirements ....................................................................................... 55
Major and Minor Subjects ................................................................................... 55
Residency ........................................................................................................... 55
Total Credit Hours (90) ....................................................................................... 55
Course Credit Hours Beyond Master’ s (30) ................................................ 55
Course Credit Hours Without Master’s Degree (60) .................................... 55
Dissertation Credits (30) .............................................................................. 55
Course Prerequisites .......................................................................................... 56
Academic Standing ............................................................................................. 56
Transfer Credits .................................................................................................. 56
Time Limits ......................................................................................................... 56
Examinations ...................................................................................................... 56
Doctoral Qualifying Examination (Written and Oral)............................................ 56
Re-Takes ..................................................................................................... 56
Proposal Defense (also called Preliminary Examination) .................................... 56
Private and Public Dissertation Defense ............................................................. 57
Private Defense ........................................................................................... 57
Public Defense/Final Examination ............................................................... 57
Candidacy ........................................................................................................... 57
Delivery Modes ................................................................................................... 57
Distance Learning ............................................................................................... 57
Related Degrees ................................................................................................. 58
Student Profile ................................................................................................... 58
Undergraduate: ................................................................................................... 58
Graduate: ............................................................................................................ 58
SSE Faculty & Industry Professors ..................................................................... 58
Faculty Profile ..................................................................................................... 58
Faculty ................................................................................................................ 59
Adjunct Faculty ................................................................................................... 60
Program Statistics ............................................................................................... 60
Areas of Expertise............................................................................................... 60
Research ............................................................................................................ 60
Enterprise Architecting ................................................................................. 61
Enterprise Optimization ............................................................................... 61
Systems and Enterprise Management ......................................................... 61
Systems Engineering & Architecting & Test ................................................ 61
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School of Systems and Enterprises
Meet the Dean
In March 2007, after a review by the Board of Trustees,
Stevens Institute of Technology launched the new school
of Systems and Enterprises. In so doing, it made explicit
our focus on interdisciplinary and trans-disciplinary
academics and research, rooted in systems thinking. This
is a bold and imaginative endeavor by the leadership of
the Institute, and very much in the tradition of our founding
family.
The “systems approach” to understanding problems and
opportunities, and a similar holistic approach to conceiving
innovative concepts and solutions is being increasingly
recognized for its potential to provide breakthrough and
innovative results in many domains – defense, homeland security, intelligence,
nuclear weapons, communications, space systems, and business solutions.
Further, while emphasis on the technical system is key, so is a focus on the
context of this technical system within the human enterprises that develop it,
operate and use it, and sustain and maintain it. Accordingly, our academic and
research focus will address the interplay between systems and enterprises.
From our relatively modest beginnings in the spring of 2000, as a Systems
Engineering and Engineering Management Department and the SDOE Program,
to the launch of our new School, an underlying value that we have nurtured and
sought to live up to is that of an “Open Academic Model.” This model calls on us
to recognize the tension between academic rigor and practical relevance, and to
blur the boundaries between academia, government and industry in our
educational and research initiatives. This principle has been a significant
contributor to our success in the past, and is a key tenet of our strategy for the
future.
Thanks for your interest in our School, and we look forward to working and
collaborating with you!
Dr. Dinesh Verma
Dean, School of Systems and Enterprises
School Overview
Today’s engineered systems are more complex than their predecessors, not only
in the sophistication of elements from which they are constructed, but in the
number and nature of the interconnections between the elements. System
failures today, whether an automobile malfunction on a busy highway or loss of a
spacecraft on a distant planet, are likely to result from an unanticipated
interaction between elements than from the failure of a single element. Software
intensive systems represent a special challenge because of the myriad of
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possible logic paths that can be woven through their code. And as Moore’s law
continues to drive down the size of computers and drive up their speed and
power, software that was once deeply embedded within physical components
has begun to emerge, enabling collaboration between elements of the
system/enterprise that would have been unimaginable only a few years ago.
While the complexity of technical systems continues to grow, equally as exciting
is the emergence of a new class of systems, one for which there is no central
control. Perhaps most readily exemplified by the Internet, such systems are
characterized by the autonomy enjoyed by their elements, each one acting
locally to achieve its individual purpose without benefit of centralized control. And
yet, because the elements are richly interconnected, such systems are capable
of self-organizing to produce emergent behavior for which they have not been
specifically designed. Today, we are only beginning to scratch the surface in
exploring the possibilities represented by these decentralized systems, or
perhaps more properly systems of systems. Understanding their behavior, and
perhaps even more ambitious, how to create conditions that result in their
producing favorable outcomes, will keep researchers and designers occupied for
many years to come.
Enterprises represent a special case of systems of systems, one with enormous
economic importance. While not traditionally considered within the same domain
as technical systems, enterprises are increasingly being seen as representatives
of a broader class of human designed systems, of which technical systems are
only one part. A traditional systems engineer would certainly recognize the
simplest definition of an enterprise, three or more people engaged in purposeful
activity, as a system. Even this simple enterprise comprises elements (people)
working together to achieve a common purpose. But today’s global enterprises
are far more complex than this simple definition implies. Enabled by a revolution
in communications and information technologies, they may be among the most
complex systems ever conceived of by humans. In a sense, treating them in the
same class as technical systems represents a natural evolution, from enterprise
systems as enabling technology, to enterprises as systems of cross functional
processes, to enterprises as systems in their own right. Certainly, as we look at
extended enterprises whose elements may be independent firms widely
dispersed across the globe, each with their own motivations, expertise, cultures
and organizations, yet collectively working together to produce a product or
service valued by customers, the challenge of designing, managing, evaluating
and optimizing these systems is the equal of any we can find.
It is in this context that Stevens created the School of Systems and Enterprises
(SSE) with the mission to “create knowledge and understanding at the
confluence between Systems and Enterprises with the emphasis on the meaning
of and”. Within SSE, we are committed to the educational and research
philosophy that we refer to as the “Open Academic Model” which guides us as
follows:

We will develop meaningful alliances with academic partners to develop
and leverage “best of breed” thinking and competencies in our
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
instructional and research initiatives, leading to the greatest benefit to our
students and our sponsors.
We will blur the boundary between the academic setting and the industry/
government reality in our instructional and research approach. This will be
achieved through:
– Bringing a fresh perspective to industry and government in an
executable form – a specific method, tool, heuristic, or template
– Bringing the industry and government reality into academia in a
researchable or usable form – a problem statement, a specific
challenge, guest instructors, heuristics, and case studies.
We believe that this concept of developing strategic and mutually beneficial
alliances and partnerships is critical to the development of the “industry as
laboratory” concept, and this is a key tenet of our research strategy. It is also
essential to engage in a rigorous research endeavor that is grounded in
relevance.
The SSE faculty is engaged in a variety of research efforts in the school to
support our academic endeavors and the open academic model that include:


Enterprise Architecting, Modeling, and Management
– Intelligent Systems and Enterprises
– Agile Enterprises
– Resilient Enterprises
– System Management and Technical Planning
Systems Concepts in Education
– Systems Thinking in K-12 and Undergraduate Education
– Systems Engineering/Thinking for Traditional Engineering

Enterprise Optimization
– Risk Based Multi-Resource Allocation and Optimization
– Stochastic System Modeling and Optimization
– Mobile Ad-Hoc Wireless Network Reliability Analyses
– Information Mining and Data Fusion

Systems Engineering, Architecting and Test
– System Requirements and Architecture Modeling
– Architecture Management
– System Test and Integration
– Architecture Management and Strategy
Admissions Criteria
Admission into our Graduate Certificate, Master’s or Doctoral programs in
Engineering Management, Enterprise Systems, Financial Engineering, Space
Systems, Software Engineering and Systems Engineering, requires an
undergraduate degree in Engineering, or in a related discipline. Outstanding
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applicants in other areas maybe admitted conditionally, on the basis they
satisfactorily complete specified introductory courses.
Applicants to the school possess a strong quantitative background, including
elements of calculus.
Students seeking admission into our Master's and PhD programs must
demonstrate a “B” or above average from an accredited college or university.
Previous Degrees (MS)
A master’s degree is generally required before a student is admitted to the
doctoral program. Master’s level academic performance must reflect the
candidate’s ability to pursue advanced studies and perform independent
research. Generally a GPA of 3.5 in a master’s program is required.
GRE Required (Yes)
GRE scores are required for students applying into Doctoral programs, however,
they are not required for Graduate Certificate or Master's Degree applicants.
Program Requirements
Major and Minor Subjects
Not listed on web.
Residency
Not listed on web.
Total Credit Hours (90)
90 credits of graduate work in an approved program of study beyond the
bachelor’s degree and 60 credits of graduate work in an approved program of
study beyond the master’s degree are required for completion of the doctoral
program. Of the 60 credits required beyond a master’s degree, a minimum of
30 credits must be dissertation/research credit hours.
Course Credit Hours Beyond Master’ s (30)
30 credits of graduate work in an approved program of study beyond the
master’s degree are required for completion of the doctoral program
Course Credit Hours Without Master’s Degree (60)
60 credits of graduate work in an approved program of study beyond the
bachelor’s degree in an approved program of study are required for completion of
the doctoral program.
Dissertation Credits (30)
A minimum of 30 credits must be dissertation/research credit hours.
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Course Prerequisites
Applicants to the school possess a strong quantitative background, including
elements of calculus.
Academic Standing
Not listed on web.
Transfer Credits
Assume 30 Credits.
Time Limits
A student who has previously earned a Master’s degree or its equivalent is allowed a
maximum of six years to complete the requirements for the Doctoral degree. Our goal is
to have full time, on campus students complete the program in about three years
provided that start their research in parallel with their coursework.
Requests for an extension of the six-year limit must be made in writing thru the
Program Director, the Associate Dean for Academics, and ultimately to the Dean
of Academic Administration.
Examinations
Doctoral Qualifying Examination (Written and Oral)
The examination includes written and oral components. The written portion of the
examination requires two weeks for completion. The oral component of the
examination is administered at least two weeks after completion of written
portion. Students must be registered during the semester that the examination is
taken. Students may not schedule the qualification examination until they have
an approved Study Plan. The qualification examination is administered by the
student’s advisory committee.
The candidate should develop a “Research Statement” that articulates their
research interests. The intent is this statement is not to specific and explain the
research question(s) of interest to the candidate, but to describe broadly a
domain of research interest to the candidate.
Re-Takes
If performance on the examination is unsatisfactory, one full semester must lapse
(15 weeks) before the examination is administered a second time. Students
failing the examination twice will be dismissed from Stevens Institute. At the
discretion of the committee, a candidate may be allowed to change his or her
degree option from a Ph.D. to a Masters.
Proposal Defense (also called Preliminary Examination)
Every doctoral candidate is required to prepare a research proposal that
describes the research content, outcome anticipated, validation approach,
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contribution to the field of endeavor, and the creative content and uniqueness of
the research effort. This proposal must be in a written form and must be
presented to his/her committee at a meeting where all committee members are
present.
A student pursuing a doctoral degree should demonstrate, through this proposal
and the dissertation, the ability to conduct original and creative research.
Research results should be sufficiently significant as to be publishable in a
referred journal. The writing style, grammar, and spelling of the proposal and the
dissertation should reflect a high level of written communication skills.
NOTE: The proposal defense document must be made available to the doctoral
committee at least two weeks before the scheduled event.
Private and Public Dissertation Defense
Private Defense
Between the research proposal and the final examination the student is required
to provide at least one progress report to his/her advisory committee at a meeting
where all committee members are present. The time of this meeting is
determined by the student’s advisory committee. Students should provide
regular updates to the committee.
NOTE: The draft dissertation document must be made available to the
committee at least two weeks prior to the actual scheduled private defense.
Public Defense/Final Examination
The final examination must be scheduled through the Graduate School, at least
two weeks prior to its administration. To pass the final examination, a degree
candidate must have a favorable vote from a majority of the examining/advisory
committee, with a maximum of one negative vote.
Re-Takes
If a student fails the final examination, there must be a lapse of one full semester
(15 weeks) before rescheduling the examination. A student is allowed no more
than two opportunities to pass the final examination.
Candidacy
Not listed on web.
Delivery Modes
Distance Learning
The delivery mechanism of courses in the SDOE program is unique. All courses
in our program are offered in weeklong modular format or offered in a completely
web-based format. Modes of instruction of the SDOE program have been
structured to allow flexibility. The week-long modular format minimizes time
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away from “home base” while live and intensive weeklong courses, and
associated group exercises, ensure development of team building skills,
leadership development, and the real-time negotiation and tradeoffs that
characterize reality. Students are given reading assignments prior to the
instructional week. Further, participants pursing a degree or graduate certificate
have ten weeks subsequent to the instructional week to complete their homework
assignments and projects. Homework assignments and projects are not required
for those students taking SDOE classes for continuing education units (CEUs)
credit.
Related Degrees
Student Profile
Undergraduate:






100 Full-time students
20 students graduate per year from the Undergraduate EM Program
53% of entering Freshman are in the top 10% of their highschool class
25 and 75 percentile SAT scores for incoming freshman are 1200 and
1370, respectively
Stevens Engineering Management program is one of only five ABET
(Accreditation Board of Engineering and Technology) accredited
Engineering Management programs in the entire country.
Tier II University based upon US News and World Report
Graduate:







2,972 total Stevens graduate student population
713 total School of Systems and Enterprises graduate student population
450 SSE Master’s degree students
34 SSE Graduate Certificate students
82 SSE Ph.D. candidates
145 SSE Non-Degree professional development
Demographic:
– 77% take courses on a part-time basis
– 23% take courses full-time
SSE Faculty & Industry Professors


23 Full-time Faculty
11 Part-time Industry Professors
Faculty Profile


5 Tenure/tenure track with 1 Chaired Professor
23 Full-time Faculty
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





11 Research or Industry Faculty
Our Faculty have authored and co-authored 5 Textbooks
8 of our Faculty are honored technical society "Fellows", including ASEE
and ASEM
2 of our Faculty have been honored with the Bernard Sarchet Award, the
most prestigious faculty award issued by the American Society of
Engineering Management (ASEM)
SSE faculty have received the Merl Baker Award (2006, 2004) in honor
of their exemplary service, by the Engineering Management division of
the American Society for Engineering Education (ASEE)
Our faculty include two former Presidents of Professional Societies
Faculty
Dr. Kathryn D. Abel
[Director of Undergraduate
Academics]
Professor Bruce G Barker
[Associate Industry
Professor]
Dr. Anthony Barrese
[Distinguished Service
Professor]
Dr. Leon A. Bazil
[Industry Professor]
Professor Howard G.
Berline
[Industry Professor]
Dr. John T. Boardman
[Distinguished Service
Professor]
Dr. Robert J. Cloutier
[Research Associate
Professor]
Professor Rick Dove
[Industry Professor]
Dr. John V. Farr
[Associate Dean for
Academics]
Professor Ralph Giffin
[Industry Professor &
Director of School
Administration]
Dr. Wei Jiang
[Assistant Professor]
Dr. Wiley Larson
[Distinguished Service Professor]
Dr. Donald N. Merino
[Professor]
Dr. Ali Mostashari
[Associate Professor (Research)]
Dr. Roshanak Nilchiani
[Assistant Professor]
Dr. Michael C. Pennotti
[Associate Dean for Professional
Programs and Distinguished Service
Professor]
Dr. Arthur Pyster
[Distinguished Research Professor]
Dr. Jose E. Ramirez-Marquez
[Assistant Professor]
Dr. Brian Sauser
[Assistant Professor]
Professor Alice Squires
[Director for Online Programs,
SSE]
Dr. Richard Turner
[Distinguished Service
Professor]
Dr. Dinesh Verma
[Professor & Dean]
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Professor Eirik Hole
[Lecturer]
Professor George J.
Hudak
[Distinguished Service
Associate Professor]
Dr. Rashmi Jain
[Associate Professor]
Adjunct Faculty
Dr. Murray Cantor
[Adjunct Professor]
Dr. Tom Herald
[Associate Industry Professor]
Professor David R.
Nowicki
[Adjunct Professor]
Carl Pavarini
[Adjunct Faculty]
Professor Steve Richman
[Professor]
Professor Emre Veral
[Adjunct Professor]
Professor Mark Wilson
[Adjunct Professor]
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Research
Our research strategy has been articulated around the following four
interdependent research clusters:
• Enterprise Architecting
• Systems and Enterprise Management and Governance
• System and Enterprise Optimization
• Systems Engineering, Architecting, and Test
Our focus will be on developing practical methods, tools, heuristics that leaders
can apply to improve the performance and increase the productivity of real
enterprises through more effective resource allocation, risk-based decision
making, and axiomatic design.
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Enterprise Architecting




Establishing consistent terminology for enterprises that defines and relates
key terms like enterprise architecture, business process architecture,
IT infrastructure, enterprise resource management, and the like
Characterizing and linking the organizational, cultural, portfolio and
other perspectives from which enterprises are viewed.
Developing quantitative models to analyze and simulate the behavior of
enterprises and to characterize their response to a variety of input
conditions
Assessing and improving enterprise agility, enhancing their ability to
spawn innovation and their resilience to adverse circumstances.
Our focus will be on developing practical approaches that leaders can apply to
improve the performance and increase the productivity of real enterprises
through more effective resource allocation, risk-based decision making, and
axiomatic design.
Enterprise Optimization




Risk Based Multi-Resource Allocation and Optimization
Stochastic System Modeling and Optimization
Mobile Ad-Hoc Wireless Network Reliability Analyses
Information Mining and Data Fusion
Systems and Enterprise Management


Defining a Resilient Enterprise
o Workshops on “What is a Resilient Enterprise?”
o Strategic Enterprise Architectures
o Enterprise Governance
Managing for Systems Engineering
o Organizing for Systems Engineering
o Systems Maturity Indices for Decision Support
Systems Engineering & Architecting & Test



System Requirements and Architecture Modeling
System Test and Integration
Architecture Management and Strategy
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Institution:
Texas Tech University
College:
College of Engineering
Department:
Department of Industrial Engineering
Degree:
Doctor of Philosophy in Systems and
Engineering Management
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Department of Industrial Engineering Graduate Program Objectives ................. 64
Department of Industrial Engineering Mission .................................................... 64
Doctor of Philosophy Degree Description ........................................................... 64
Admissions Criteria ............................................................................................. 64
Previous Degrees (BS or MS) ............................................................................. 64
GRE Required (Yes) ........................................................................................... 64
Program Requirements ....................................................................................... 64
Major and Minor Subjects ................................................................................... 64
Residency ........................................................................................................... 65
Minimum Credit Hour Load ................................................................................. 65
Total Credit Hours (72) ....................................................................................... 65
Credit Hours Beyond Master’s ..................................................................... 65
Credit Hours Without Master’s Degree (60) ................................................. 65
Dissertation Credits (12) .............................................................................. 65
Course Prerequisites .......................................................................................... 65
Undergraduate Leveling .............................................................................. 65
Academic Standing ............................................................................................. 66
Transfer Credits (30?) ......................................................................................... 67
Time Limits ......................................................................................................... 67
Examinations ...................................................................................................... 67
Preliminary Examination ..................................................................................... 67
Plan of Study and Committee ............................................................................. 67
Research Proposal ............................................................................................. 68
Qualifying Examination (Oral and Written) .......................................................... 68
Dissertation Defense........................................................................................... 68
Candidacy .................................................................................................... 68
Delivery Modes ................................................................................................... 68
Off-Campus ........................................................................................................ 69
Related Degrees ................................................................................................. 69
Student Statistics ................................................................................................ 69
Faculty ................................................................................................................ 69
Program Statistics ............................................................................................... 69
Areas of Expertise............................................................................................... 69
Engineering Centers ........................................................................................... 69
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Department of Industrial Engineering Graduate Program
Objectives
The objectives of the industrial engineering program are as follows: To graduate
well-rounded industrial engineers who are employed in industrial engineering
related jobs or study in graduate programs; to graduate industrial engineers who
have a strong sense of professionalism, with respect for fellow workers and their
profession; and to provide graduates with a set of skills that allows them to grow
professionally and provide service and leadership in their careers.
Department of Industrial Engineering Mission
The mission of the department is to provide the highest quality of industrial
engineering education by stimulating discovery, integration, application, and
communication of knowledge.
Doctor of Philosophy Degree Description
The Doctor of Philosophy in Systems and Engineering Management programs
prepare competent industrial engineers and engineering managers for industry,
consulting, university teaching and research.
Admissions Criteria
Previous Degrees (BS or MS)
Although some exceptions occur, full admission status requires that the applicant
possess a recognized (accredited) degree in an engineering discipline or have
successfully completed a leveling program specified by the Graduate Faculty of
the Department of Industrial Engineering.
For work at the Ph.D. level, a 3.5 grade point average in an M.S. program is
expected. In addition, the Ph.D. program applicant's credentials are examined to
assess his/her potential for in-depth research work.
GRE Required (Yes)
The GRE is required for both the MS and PhD programs. Students are
encouraged to submit high GRE scores, but admission into the graduate program
is not based on the GRE score criteria alone.
Program Requirements
Major and Minor Subjects
A minimum of 15 semester credit hours may be completed to serve as a minor.
The minor credit hours may be directed at a specified minor or at a non-specified
minor. The minor areas should be chosen to support the Ph.D. research work.
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Residency
The Graduate School requires a "residency" period of each Ph.D. student.
Residency normally constitutes full-time study, and to have completed 24 hours
within a 12 month period, at Texas Tech. Specific details regarding current
residency requirements are listed in the Graduate Catalog. In some cases, a
Ph.D. student will be asked by his/her committee to satisfy tool requirements in
order to complete the Ph.D. program. Tool requirements consist of courses at
either the graduate or undergraduate level and are not counted in either the
major or minor course hours.
Minimum Credit Hour Load
Not listed on web.
Total Credit Hours (72)
Credit Hours Beyond Master’s
Not listed on web.
Credit Hours Without Master’s Degree (60)
Once admission has been gained (Section 3), the Doctor of Philosophy with a
major in industrial engineering is earned by completing a minimum of 60
graduate level semester credit hours (beyond the B.S. level) plus at least 12
credit hours of IE 8000 and the successful completion and defense of a
dissertation. At least 45 semester credit hours must be completed in industrial
engineering or closely related courses. This total must include at least 30
semester credit hours of course work completed at Texas Tech University.
Doctoral students must take at least 6 hours of course work in each of the three
specialty areas in the Department of Industrial Engineering (transfer courses may
be used with approval of the Graduate Advisor).
Dissertation Credits (12)
At least 12 credit hours of IE 8000.
Course Prerequisites
Undergraduate Leveling
Undergraduate leveling requirements may be specified as a condition for
admission to the graduate programs in industrial engineering. The leveling
requirements fall in two categories: (1) mathematics and (2) engineering science.
Students are expected to complete leveling early in their graduate programs.
Leveling requirements should be completed in the first half of a graduate
student's plan of study, in terms of graduate credit hours in industrial engineering.
If sufficient progress in satisfying leveling requirements is not made, the graduate
faculty may block enrollment in industrial engineering courses until the leveling
requirements are completed.
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Mathematics
Graduate students in the Department of Industrial Engineering are expected to
possess a mathematical background up to and including Calculus III or the
equivalent. This background includes differential calculus, and integral calculus.
If an applicant's transcript does not indicate this background, a condition of "Math
through MATH 2350" will be placed on the applicant. This condition will be in
effect until the student provides proof (through transcripts and course
descriptions) that the condition has been met. A grade of 'C' or better in MATH
3350 at Texas Tech or its equivalent at another university satisfies this
requirement.
Engineering Science
Every applicant is expected to possess a sound knowledge of fundamental
engineering science material. Fundamental knowledge is typically demonstrated
by at least 9 hours of traditional engineering science courses, similar to those
required of B.S.I.E. graduates. Such courses include Statics (CE 2301),
Dynamics (CE 2302), Mechanics of Solids (CE 3303), Mechanics of Fluids (CE
3305), Engineering Material Science (ChE 3330), Fundamentals of Electrical
Engineering (EE 2304), Materials (ME 2311), Engineering Thermodynamics (ME
3321), Fluid Mechanics (ME 3370), and other similar courses.
The engineering science course selection is flexible. The student's choice of
engineering science courses may be tailored to individual needs, relative to
his/her choice of specialty areas in industrial engineering. However, the graduate
faculty must approve the final selection.
Typically, the condition of "up to 9 credit hours of engineering science" will be
placed on non-engineering applicants, if no engineering science courses can be
found on the applicant's transcript. The applicant may get the total reduced; if
he/she can show evidence that he/she has completed such courses. A grade of
'C' or better in each engineering science course or its equivalent at another
university is expected. If the course(s) are not taken at TTU, the burden of proof
for content and completion rests on the student. The student must provide course
outlines and other materials to satisfy the graduate faculty of the equivalency of
the proposed course(s).
Academic Standing
The Graduate School requires that a student earn at least a 3.0 grade point
average (GPA) over the courses listed in his/her plan of study (filed with the
Graduate School) to be eligible for graduation. Additionally, the GPA for each
semester for all graduate courses taken must be at least 3.0 (regardless of the
plan of study) for the student to remain "in good standing." An earned semester
GPA of less than 3.0 will cause the student to be placed on academic probation.
The condition for removal from probation is usually stated as a GPA of 3.0 or
greater in the subsequent semester's work. Failure to merit removal from
probation may result in suspension (dismissal) from the Graduate School. In
addition to the general requirements of the Graduate School, the Department of
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Industrial Engineering requires that its graduate students receive no more than
two (2) grades of 'C' or less in industrial engineering course work. Students who
fail to meet this criterion will be dropped from the Graduate Program in Industrial
Engineering. In addition, all doctoral students will be reviewed by the Graduate
Faculty on an annual basis to determine whether satisfactory progress in the
program is being made. The Graduate Faculty may recommend dismissal for
those students not making satisfactory progress. Students who are suspended or
dropped may petition the Graduate School and department for re-admission.
Transfer Credits (30?)
Transfer credit hours are evaluated by the student's Ph.D. committee as to their
applicability to his/her plan of study. Courses completed more than 7 years prior
to entry in the Ph.D. program must be justified, in writing, by the student as to
their relevance towards the Ph.D. plan of study. The acceptance of such course
work is at the discretion of the department and the Graduate Dean.
This total must include at least 30 semester credit hours of course work
completed at Texas Tech University.
Time Limits
Not listed on web.
Examinations
Preliminary Examination
The preliminary examination consists of a 3 credit hour, IE 7000, independent
study course, under the direction of a member of the Industrial Engineering
Graduate Faculty. The subject matter and exact content of this work is proposed,
in writing, by the student and approved, in writing, by the graduate faculty
member. In general, the content should challenge the student in the areas of
problem definition and formulation, literature review, problem solving
methodologies and creative solutions. The preliminary examination allows the
faculty to assess the student's abilities and potential to produce meaningful
research results in his/her doctoral research program. The preliminary results
should be completed as early as possible in the student's plan of study, typically
by the end of the second or third semester.
Plan of Study and Committee
A formal plan of study, detailing the major and minor courses and the Ph.D.
committee, must be approved by the Graduate Coordinator and the Graduate
Dean. A Ph.D. committee is typically made up of 3 (or 4) industrial engineering
graduate faculty members and 2 (or 1) graduate faculty members from outside
industrial engineering. One of the industrial engineering faculty members is
expected to serve as the committee chairman and the research advisor.
Formulation of a plan of study is primarily the responsibility of the student and
major professor. The Doctoral Proposal and Report of Preliminary Examination
form, Appendix B, is used to obtain approval of the Ph.D. plan of study. The
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Graduate Coordinator will not sign this form until (1) all plan of study entries are
in order, (2) a list of courses has been identified and approved by the dissertation
advisor, (3) all committee members are listed on the form, and (4) a doctoral
research topic is listed on the form.
Research Proposal
Each Ph.D. student is responsible for developing a research proposal in writing.
This development should be done under the direction of the major professor and
committee. Proposals may vary in length, but are expected to outline the
research objective, relevant research questions, a review of the literature, a
proposed research procedure and a summary of the contributions expected from
the research. Research proposals must ultimately be presented to the student's
committee and approved by that committee. A copy of the proposal in its revised
form, if revisions are necessary, is to be placed on file in the industrial
engineering office for possible examination by students and faculty. Once the
proposal is approved, the student may register for IE 8000. This registration must
be maintained until all graduation requirements are completed.
Qualifying Examination (Oral and Written)
Successful completion of a qualifying examination must be accomplished before
a Ph.D. student can be admitted to candidacy. The examination is structured by
the student's committee. The format is typically both verbal as well as written. A
report of the outcome is written by the major professor and submitted to the
Graduate School. The committee chairperson's letter must also be signed by the
Graduate Coordinator.
Dissertation Defense
Once the proposed research is completed, it must be formally reported in the
form of a Ph.D. dissertation. The dissertation must be defended by the Ph.D.
candidate in an open forum. A typical defense will include the student, his/her
committee and a representative of the Graduate School as well as any other
people wishing to hear or challenge the results. A positive vote by the committee
as to the technical merit of the research constitutes a successful defense. This
vote is reported to the Graduate School by both the Graduate School
representative as well as the major professor. All dissertations must conform to
the style and format set out by the Graduate School.
Candidacy
Successful completion of a qualifying examination must be accomplished before
a Ph.D. student can be admitted to candidacy.
Delivery Modes
Texas Tech University offers courses and programs both at a distance and
through off-campus sites. If more than half of a course/program is delivered
electronically, it is considered a distance course/program; if more than half is
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delivered face-to-face in a location other than on the Lubbock campus, it is
considered an off-campus course/program.
Off-Campus
Ph.D. in Systems and Engineering Management offered off-campus at TTU
Amarillo.
Related Degrees
This department supervises the following degree programs:
 Bachelor of Science in Industrial Engineering
 Master of Science in Industrial Engineering
 Master of Science in Systems and Engineering Management
 Master of Science in Manufacturing Systems and Engineering
 Doctor of Philosophy in Industrial Engineering
 Doctor of Philosophy in Systems and Engineering Management
Student Statistics
Not listed on web.
Faculty
Patrick E. Patterson, Ph.D., Chairperson
Professors: Beruvides, Kobza, Patterson, J. Smith, M. Smith, Woldstad, Wyrick,
Zhang
Associate Professor: Rivero
Assistant Professors: Farris, Matis, Simonton, Wang
Program Statistics
Graduate studies in industrial engineering at Texas Tech have produced over
740 M.S. and over 150 Ph.D. graduates, who hold leadership positions in
research, manufacturing, government, and consulting organizations.
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Engineering Centers

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





Center for Advanced Intelligent Systems
Center for Engineering Outreach
Center for Pulsed Power and Power Electronics (P3E)
Institute for Ergonomics Research
Murdough Center for Engineering Professionalism
Nano Tech Center (NTC)
National Institute for Engineering Ethics
Center for Multidisciplinary Research in Transportation (TechMRT)
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
Water Resources Center
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Institution:
The University of Arizona
College:
The College of Engineering
Department:
Systems and Industrial Engineering
Degree:
Doctor of Philosophy in Systems and Industrial
Engineering
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Systems & Industrial Engineering Department Overview .................................... 73
Mission of the Systems & Industrial Engineering Department ............................ 73
Doctor of Philosophy Degree Description ........................................................... 73
Admissions Criteria ............................................................................................. 74
Previous Degrees (BS) ....................................................................................... 74
GRE Required (Yes) ........................................................................................... 74
Program Requirements ....................................................................................... 74
Major and Minor Subjects ................................................................................... 74
Residency ........................................................................................................... 74
Minimum Credit Hour Load ................................................................................. 74
Total Credit Hours (72) ....................................................................................... 75
Credit Hours Beyond Master’s ..................................................................... 75
Credit Hours Without Master’s Degree (54) ................................................. 75
Dissertation Credits (18) .............................................................................. 75
Course Prerequisites .......................................................................................... 75
Academic Standing ............................................................................................. 75
Transfer Credits .................................................................................................. 75
Time Limits ......................................................................................................... 75
Examinations ...................................................................................................... 75
Doctoral Qualifying Exam ................................................................................... 76
Re-Takes ..................................................................................................... 76
Comprehensive Examination (Written and Oral) ................................................. 76
Dissertation Defense........................................................................................... 77
Candidacy ........................................................................................................... 77
Delivery Modes ................................................................................................... 77
Distance Learning ............................................................................................... 77
Related Degrees ................................................................................................. 78
Graduate Programs ............................................................................................ 78
Student Statistics ................................................................................................ 78
Faculty ................................................................................................................ 78
Associate Faculty ................................................................................................ 78
Engineering Management Faculty ...................................................................... 78
Joint Faculty ........................................................................................................ 78
Emeritus Faculty ................................................................................................. 78
Program Statistics ............................................................................................... 79
Areas of Expertise............................................................................................... 79
Research Centers ............................................................................................... 79
Advanced Integration of Manufacturing Systems and Technologies (AIMST)
..................................................................................................................... 79
Advanced Traffic and Logistics Algorithms and Systems (ATLAS) .............. 79
Center for Research in Emerging Technologies in Transportation
Engineering (CRETTE) ................................................................................ 79
Modeling Optimization Research and Education (The MORE Institute) ...... 79
Program for Advanced Research in Complex Systems (PARCS) ............... 80
Multidisciplinary University Research Initiative (MURI ) ............................... 80
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Systems & Industrial Engineering Department Overview
The Department of Systems and Industrial Engineering was established in 1961.
It has achieved international prestige for it's contribution to the interdisciplinary
design and operation of complex systems of people, information, and machines.
The department strives to create an environment for enhanced interaction
between students and faculty.
The UA ranked 27th in the nation in the number of national merit scholars who
were enrolled. The National Science Foundation has named UA one of the ten
best universities in integrating research and education.
The SIE Department was ranked by US News & World Report as having the 19th
best Graduate IE Program (among 80). The Gouman Report ranks the SE
Program in the top five.
The department operates a number of Sun workstations for research, teaching,
and electronic communication.
Teaching labs include a Microprocessor Design lab, Human Factors lab, and
Robotics and Automation lab. Personal computer labs house both windows and
Macintosh machines.
Mission of the Systems & Industrial Engineering Department
In the Department of Systems & Industrial Engineering (SIE) it is our mission to
prepare students with the knowledge and skills they need to design, model,
analyze and manage modern complex systems. Our courses, laboratories,
projects and seminars prepare students for rewarding engineering careers and
life-long learning. Furthermore, our goals are to:
 Provide high quality education, and a basis for lifelong learning of the
engineering and scientific knowledge required for analysis, design,
improvement, and evaluation of integrated systems of people, computers,
material, and equipment - as embodied in the disciplines of industrial
engineering, operations research, systems engineering, and like fields.
 Lead in research in key areas within the discipline, with particular
relevance to systems of strategic importance to the state and the nation
such as manufacturing, telecommunications, transportation, health-care,
service, and environmental systems.
 Provide professional service and academic leadership in the disciplines of
the Systems and Industrial Engineering Department, within the university,
industries, governmental agencies, private and public organizations, and
professional societies.
Doctor of Philosophy Degree Description
The Doctoral program is designed for those individuals wishing to pursue
research at an advanced level. Only those who have already demonstrated an
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ability to pursue independent and scholarly work should consider applying for this
program.
Admissions Criteria
To be considered for admission to the Doctoral program, the candidate must
have attained a Bachelor's in Systems Engineering, Industrial Engineering, or a
related field. Other factors that will be considered are as follows:
 GPA in previous undergraduate work of at least 3.25 and graduate work of
at least 3.50
 Letters of recommendation
 GRE scores of at least 500 verbal, 750 quantitative, and 700 / 5.0
analytical are expected. In addition, international students should submit
TOEFL scores (at least 575) and TSE scores (at least 50).
 A match between faculty and student interests
Previous Degrees (BS)
The candidate must have attained a Bachelor's in Systems Engineering,
Industrial Engineering, or a related field.
GRE Required (Yes)
GRE scores of at least 500 verbal, 750 quantitative, and 700 / 5.0 analytical are
expected.
Program Requirements
Major and Minor Subjects
All PhD students must choose at least one minor subject area. The purpose of
choosing a minor is to add breadth to their training. Minors are normally taken
outside the department, but students may petition the Graduate Studies
Committee for minor courses within the department. A split minor between two
departments is also possible. All selections are subject to the approval of the
Graduate Studies Committee. The minor requires 12 units, split minors require 6
units from each area.
Residency
To meet the minimum residence requirement, students must complete two
regular semesters of full-time academic work in residence at the University of
Arizona. In general, any semester during which a student is registered for at
least 9 units of graduate course work or research is counted toward meeting the
residence requirements. However, some special circumstances (such as an
assistantship) may change the required number of units. More details are given
in the Graduate Catalog (see section 1.3).
Minimum Credit Hour Load
Not listed on Web.
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Total Credit Hours (72)
Credit Hours Beyond Master’s
Not listed on Web.
Credit Hours Without Master’s Degree (54)
The Plan of Study is the student's contract with the university concerning specific
course requirements that the student must satisfy before becoming eligible for
the PhD degree. This includes a minimum of 54 units of course work, at least 36
of which must be SIE-type courses approved by the faculty advisor and the
Graduate Studies Committee, plus at least 18 units of dissertation research. In
addition, at least 21 units of the course work must be taken from the SIE
Department. At most 3 units of independent investigation may also be included,
provided the study covers a topic not available through normal courses, a
tangible course project is submitted to the Graduate Studies Committee, and
prior approval is obtained from the Graduate Studies Committee. SIE 900
Research units may not be counted toward a PhD Degree. Students must take
at least two and no more than three units of SIE 695a. This class will be graded
Pass/Fail. To fulfill this requirement, the student must attend the department
seminars during each semester enrolled. Prior to completing the seminar
requirement, the student must also give a research presentation to the class.
Dissertation Credits (18)
At least 18 units of dissertation research.
Course Prerequisites
Not listed on Web.
Academic Standing
Not listed on Web.
Transfer Credits
Subject to the approval of the Graduate Studies Committee, a maximum of 24
units of course work applied toward a Master's degree may be applied toward the
PhD as well. Research credit that was applied toward a Master's degree cannot
be applied toward the PhD degree. Up to 24 units may be transferred from an
MS program at another institution.
Time Limits
All requirements for the PhD degree, including the MS (if applicable), must be
completed within a period of ten years.
Examinations
On the way to a PhD degree, students must pass three exams: the Doctoral
Qualifying Exam, the comprehensive exam (both a written and an oral
component), and the final oral defense exam.
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Doctoral Qualifying Exam
This examination is the principal comprehensive means whereby the faculty can
assess the readiness of a student to undertake advanced graduate work beyond
the Master of Science level. This exam encompasses the following fundamental
areas:




Probabilistic Models (covered in SIE 520)
Engineering Statistics (covered in SIE 530)
Optimization (covered in SIE 545)
Linear Systems Theory (covered in SIE 550)
Equivalent courses at other institutions should provide sufficient background in
these areas. In addition to the subject areas covered in these courses, the
examination tests whether students have an integrated understanding of these
topics and the ability to extend their knowledge.
Students must have a GPA of at least 3.50 in these courses (or their equivalent,
as approved by the Graduate Studies Committee) to register for the DQE.
The exam is administered at the start of any semester in which at least four
eligible students request it, but at least once a year (if requested). Each student
is allowed two attempts to pass the DQE. It is emphasized that a pass or fail
decision is based not only on performance in the DQE but also on grades in SIE
courses and recommendations of the faculty. Anyone who fails the qualifier
twice is required to withdraw from the PhD program. Further details are
published prior to the exam, and this information may be obtained from the
Student Academic Specialist.
Students are evaluated on their overall performance on all exam questions. The
DQE area committees recommend whether a student receives the grade of “high
pass,” “pass,” or “fail” in each DQE area, for approval by the faculty at the DQE
evaluation meeting. Anyone who fails the entire DQE but receives a grade of
“high pass” on specific sections of the exam does not need to retake those
sections on the second attempt.
Re-Takes
Each student is allowed two attempts to pass the DQE. It is emphasized that a
pass or fail decision is based not only on performance in the DQE but also on
grades in SIE courses and recommendations of the faculty. Anyone who fails the
qualifier twice is required to withdraw from the PhD program.
Comprehensive Examination (Written and Oral)
The purpose of the comprehensive examination is to determine whether the
candidate has sufficient background for research in the field of the planned
dissertation. Successful completion of the examination leads to formal admission
to PhD candidacy.
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The examination includes written portions covering the major and minor fields.
Shortly after successful completion of the written portions, an oral examination is
conducted by a committee appointed by the Dean of the Graduate College in
consultation with the departments concerned.
The written portion of the exam covers material in the candidate's area of
specialization and, when appropriate, on the student's projected dissertation
subject. The oral portion of the exam is conducted by the committee members
from the major and minor areas. It may include a presentation based on the
proposed dissertation research. When the candidate asks a faculty member to
be a member of her/his preliminary examination committee, a description of the
proposed dissertation should be provided.
The oral comprehensive examination is held when sufficient course work has
been completed, but it cannot be scheduled until the written portion has been
successfully completed. The Graduate College does not record a student’s
failure on the written portion of the exam. However, failure of the oral
examination constitutes a failure of the preliminary examination and is so
recorded. Administration of the oral comprehensive examination is governed by
the Graduate College, and students should refer to the handbook for Doctoral
Candidates for regulations pertaining to this exam. Procedures for scheduling
this exam are also detailed in that handbook (see section 1.3).
Dissertation Defense
When the doctoral candidate has met the required standards of scholarship and
has documented the research in a dissertation, the candidate publicly defends
the dissertation and answers any general questions related to her/his study. The
exact time and place of the final examination must be announced publicly at least
two weeks in advance. The examination is conducted by a faculty committee
appointed by the Dean of the Graduate College in consultation with the major
and minor departments. The presentation portion of the examination is open to
the public. The Graduate College requires timely notice to schedule the final
exam, and students should refer to the handbook for Doctoral Candidates for
exact dates (see section 1.3).
Candidacy
A student who has passed the oral comprehensive examination is recommended
to the Graduate College for acceptance as a PhD candidate.
Delivery Modes
Distance Learning
Not listed on web.
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Related Degrees
Graduate Programs



Master of Science
Master of Engineering
PhD
Student Statistics
Not listed on web.
Faculty












Bahill, A. Terry, Professor
Bayraksan, Guzin, Assistant Professor
Goldberg, Jeffrey B., Associate Professor
Head, K. Larry, Department Head
Kucukyavuz, Simge, Assistant Professor
Lin, Wei H., Associate Professor
Lopes, Leo, Assistant Professor
Mirchandani, Pitu B., Professor
Sen, Suvrajeet, Professor
Son, Young Jun, Associate Professor
Szidarovszky, Ferenc, Professor
Wang, Feiyue, Professor
Associate Faculty



Bakken, Gary, Adjunct Associate Professor
Leeming, Michael, Adjunct Lecturer
Lucas, David, Research Engineer
Engineering Management Faculty



Arnold, Michael, Director
Geiger, Gordon, Professor
Hunter, Jane, Lecturer
Joint Faculty


Dror, Moshe, Professor
Hickman, Mark, Professor
Emeritus Faculty



Baker, Robert L., Professor Emeritus
Dietrich, Duane L., Professor Emeritus
Duckstein, Lucien, Professor Emeritus
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



Ferrell, William R., Professor Emeritus
Neuts, Marcel F., Professor Emeritus
Ramberg, John S., Professor Emeritus
Wymore, Wayne, Professor Emeritus
Program Statistics
Accreditation status:
ABET
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Research Centers
Advanced Integration of Manufacturing Systems and Technologies (AIMST)
The University of Arizona initiated a program in Advanced Integration of
Manufacturing Systems and Technologies (AIMST). This is an interdisciplinary
program dedicated to research and technology transfer for integrated
manufacturing. The primary mission of the program is to encourage and facilitate
multidisciplinary research on critical technologies related to manufacturing.
Manufacturing is defined to include the "lust to dust" cycle of new product
concept development through product disposal. Manufacturing of chemical,
composite, electronic (semiconductor), and mechanical parts is included.
Advanced Traffic and Logistics Algorithms and Systems (ATLAS)
Conducts research and development, technology transfer and enhances
education in advanced transportation and logistics.
Center for Research in Emerging Technologies in Transportation
Engineering (CRETTE)
Formal prototype development of the hierarchical control architecture designed
called RHODES for urban street networks. The developed prototype is currently
under evaluation by Kaman Sciences Incorporated as part of the FHWA's RealTime Traffic-Adaptive Signal Control Research Program. Funded by the Federal
Highway Administration for 15 months stating June 1994. Principal Investigator:
Dr. Pitu B. Mirchandani, Co-PI's: Dr. Larry Head and Dr. Suvrajeet Sen. The
University of Arizona is continuing to support Kaman Sciences in the evaluation
process.
Modeling Optimization Research and Education (The MORE Institute)
Optimization Models and Methods are intended to improve the way we do things
- for example:
 Electric power: improve reliability
 Traffic: reduce congestion
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
Packet networks: improve throughput
Such applications draw upon the foundations of optimization theory and
algorithms. The MORE Institute is dedicated to research on new concepts,
algorithms, and applications of optimization models.
Program for Advanced Research in Complex Systems (PARCS)
PARCS, at the Univeristy of Arizona, is a non-profit, research group committed to
the
research and development of advanced computing for complex systems. The
purpose of
PARCS shall be to encourage scientific advancements in computer programs for
complex
systems and its related field, by means of promoting an active interchange of
scientific,
technological and industrial researchers.
Multidisciplinary University Research Initiative (MURI )
Connections between Mathematical and Behavioral DecisionMaking Models
We will search for systematic and replicable patterns of behavior in an attempt to
formulate descriptive models that are psychologically interpretable, have
potential practical implications, and can better account for human decision
behavior. These studies range from theoretical underpinnings to the exploration
of new decision-making theories on human subjects. In most cases, the data are
collected to support our studies by presenting financially motivated subjects,
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whose payoff is contingent on their performance, with various decision scenarios
that simulate or otherwise capture major ingredients of real decision making
situations. Goto Abstracts.
Modeling and exploiting decision-making weaknesses in enemy
behavior
One form of complexity in decision-making arises in game-theoretic situations.
We will analyze human decision-making traits that arise in both cooperative and
non-cooperative games, including those situations that deal with minimizing the
most damaging enemy attack. While some theory on optimal behavior exists
(e.g., Nash equilibrium models), there are several contemporary problems for
which current methods are inadequate.
While some of these applications arise naturally in economic scenarios, others
take place in complex “Stackelberg game” scenarios (leader / follower games).
We will examine a set of network interdiction problems where an enemy seeks to
destroy a set of arcs first, followed by the optimal flow along arcs that remain
operational on the network. The “enemy” action can be interpreted either literally
or as a “worst-case scenario” agent. A more difficult problem might examine how
a network can be constructed to minimize the maximum amount of damage that
an enemy might be able to do. However, such studies traditionally assume the
optimality of decision-making actions, when in fact humans must solve such
problems by heuristic rules of thumb. The refined version of our problem thus
becomes how to build a network to exploit the suboptimal decision-making
tendencies of humans. We will also investigate the implications of our research
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on actual human subjects: Is it more effective in practice to develop networks
against a rational enemy, or to try and exploit models of suboptimal behavior?
How do our planning models change according to cooperative scenarios as
opposed to non-cooperative (or outright hostile) behaviors? Goto Abstracts.
Application study on sequential search problems
We will develop optimal strategies for sequential decision-making problems.
Questions that we will answer include the following: Do humans employ a nearoptimal policy in making such decisions? What sort of policies do they follow,
and what lessons can be generalized from any observed suboptimal or irrational
behavior? This investigation captures a unique blend of behavioral studies and
optimization research, and relies heavily upon the interdisciplinary nature of our
team. Goto Abstracts.
Software models for human decision-making
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The goal of this thrust is to develop a novel human decision-making software
agent to replace the partial decision-making function of a human, whose role
involves only decision-making functions as opposed to physical functions. The
proposed agent is configured so that it operates autonomously until it faces a
situation that cannot be handled by itself, in which case it asks for a human’s
input.
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Institution:
The University of Alabama in Huntsville
College:
College of Engineering
Department:
Industrial and Systems Engineering and
Engineering Management
Degree:
Doctor of Philosophy in Industrial and Systems
Engineering
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Engineering Program Overview .......................................................................... 86
Mission of the Industrial and Systems Engineering and Engineering Management
Department ......................................................................................................... 86
Doctor of Philosophy Degree Description ........................................................... 86
Admissions Criteria ............................................................................................. 86
Unconditional ...................................................................................................... 86
Conditional .......................................................................................................... 87
Previous Degrees (BS or MS) ............................................................................. 87
GRE Required (Yes) ........................................................................................... 87
Program Requirements ....................................................................................... 87
Major and Minor Subjects ................................................................................... 87
Residency ........................................................................................................... 87
Minimum Credit Hour Load ................................................................................. 87
Total Credit Hours (84) ....................................................................................... 87
Credit Hours Beyond Master’s ..................................................................... 87
Credit Hours Without Master’s Degree (66) ................................................. 87
Dissertation Credits (18) .............................................................................. 88
Course Prerequisites .......................................................................................... 88
Academic Standing ............................................................................................. 88
Transfer Credits .................................................................................................. 88
Time Limits ......................................................................................................... 88
Examinations ...................................................................................................... 88
Preliminary Examination ..................................................................................... 88
Re-Takes ..................................................................................................... 88
Comprehensive Examination (Written and Oral) ................................................. 88
Qualifying Examination ....................................................................................... 89
Dissertation Defense........................................................................................... 89
Candidacy ........................................................................................................... 89
Delivery Modes ................................................................................................... 89
Distance Learning ............................................................................................... 89
Related Degrees ................................................................................................. 89
Student Statistics ................................................................................................ 90
Core Faculty and Affiliation ................................................................................. 90
ISEEM Faculty .................................................................................................... 90
Program Statistics ............................................................................................... 90
Areas of Expertise............................................................................................... 91
Center for Modeling, Simulation, and Analysis (CMSA) ...................................... 91
Center for the Management of Science and Technology .................................... 91
Research Institute ............................................................................................... 91
Rotorcraft Systems Engineering and Simulation Center (RSESC) ..................... 91
Systems Management and Production Center ................................................... 91
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Engineering Program Overview
Engineering is the profession that translates scientific thought into reality.
Through creative synthesis, analysis, and design, the engineer produces
systems, processes, and products for society’s benefit.
The College of Engineering is based in an established urban area, and also in
the state’s high technology center. Close proximity to NASA’s Marshall Space
Flight Center, the Army Aviation and Missile Command and Redstone Arsenal,
and much of Alabama’s fastest-growing technological industry gives the College
of Engineering a special character that leads to uncommon educational
opportunities.
This special setting, combined with high quality faculty, affords maximum growth
potential for those desiring an advanced engineering education. Laboratory fees
have been eliminated from engineering courses. An equipment fee (presently
$23 per semester hour) is assessed on all engineering courses. The proceeds
are earmarked for the upgrading of engineering laboratories, and for the
acquisition, maintenance, repair, and replacement of instrumentation and
equipment to support the various engineering programs.
Mission of the Industrial and Systems Engineering and
Engineering Management Department
To provide integrated, applications-oriented education and research programs in
the areas of industrial engineering, systems engineering, and engineering
management to support the needs of students and organizations in the Huntsville
area and beyond.
Doctor of Philosophy Degree Description
Programs leading to the degree of Doctor of Philosophy are offered in the
College of Engineering and are granted on the basis of general demonstrated
ability to do independent, original investigation. These attributes are tested in a
comprehensive examination and in a dissertation that must clearly and effectively
present the substantial results of research. These accomplishments, rather than
mere accumulation of residence and course credits, are essential considerations
in awarding the Ph.D. degree.
Admissions Criteria
Unconditional
ABET-accredited BS degree in engineering; GPA of 3.0 or better at the
undergraduate level, 3.5 at the graduate level; GRE score of 460 or better on the
Verbal, 600 or better on the Quantitative, and a combined score of 1100 or
better; GRE Analytical Writing score of 4.5 or better; undergraduate Probability &
Statistics course or equivalent; and undergraduate Engineering Economy course
or equivalent.
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Conditional
Conditional admission may be granted to students meeting all requirements
above except the Probability & Statistics and Engineering Economy courses. A
conditional admission requires successfully completion of the undergraduate
equivalent of these courses within the first year of admission.
Previous Degrees (BS or MS)
ABET-accredited BS degree in engineering; GPA of 3.0 or better at the
undergraduate level, 3.5 at the graduate level.
GRE Required (Yes)
GRE score of 460 or better on the Verbal, 600 or better on the Quantitative, and
a combined score of 1100 or better; GRE Analytical Writing score of 4.5 or better.
Program Requirements
Major and Minor Subjects
A defined major subject or field of specialization is required of all candidates for
the PhD degree. The candidate must also have at least two minor subjects
chosen with approval of the candidate’s Supervisory Committee. One of the
minors must be mathematics, and/or engineering mathematics as defined by the
student’s department.
Residency
UAH residency can be fulfilled in one of two ways: 1) Student can take at least
nine semester hours of graduate work in each of two consecutive semesters; or
2) the student can take six semester hours of graduate work in each of three out
of four consecutive semesters.
Minimum Credit Hour Load
Students who have completed the courses on their Program of study must
register for a minimum of three semester hours of graduate credit (to include
dissertation credit) each fall and spring semester until all degree requirements
are complete.
Total Credit Hours (84)
Credit Hours Beyond Master’s
Not listed on web.
Credit Hours Without Master’s Degree (66)
A minimum of 66 hours beyond the bachelor’s degree is required. These hours
are required in the following areas: Major – 18 hours; Supporting Courses – 15
hours; First Minor – 15 hours; Math/stat Minor – 12 hours; Ancillary Skills – 6
hours.
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Every student’s background and preparation is different. Each student’s program
must be approved by his/her doctoral supervisory committee. A maximum 6
hours of Master’s thesis may be included in the program of study. Each student
will be initially assigned a faculty advisor to direct the student’s work until the
preliminary examination is taken.
Dissertation Credits (18)
Students must register for doctoral dissertation (799) during the time they are
actively conducting research and consulting their dissertation advisor. A
minimum of 18 semester hours of 799 must be included in the program of study.
Course Prerequisites
Not listed on web.
Academic Standing
Not listed on web.
Transfer Credits
Credits from other recognized institutions may be applied to the student’s
program of study if so approved by the student’s department and by the Dean of
Graduate Studies. These credits will generally not be evaluated until the student
has been in residence study at UAH for at least one semester and has passed
the preliminary examination.
Time Limits
After successful completion of the Qualifying Examination, the doctoral candidate
is permitted five years to complete his or her dissertation.
Examinations
Preliminary Examination
The ISEEM Preliminary Examination Policy: Students must take the Preliminary
Examination within the first academic year or prior to completing 12 hours of
graduate work beyond the Master’s degree, whichever comes first. Student must
pass all sections to pass the exam unconditionally.
Re-Takes
The student has a total of two attempts in which to pass the exam. A second
failure disqualifies the student from further doctoral work in the ISEEM
Department. Grading: Scores of 70% and above are considered passing;
Comprehensive Examination (Written and Oral)
Upon completion of the approved coursework and the ancillary skills/foreign
language coursework, the written portion of the Comprehensive Examination
may be scheduled. The examination is a one-week take home exam prepared by
the Supervisory Committee. The responses to the questions are submitted in
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formal report fashion with one copy of the entire set of responses for each
committee member. The oral portion of the Comprehensive Examination is
normally scheduled within a month after the submission of the written portion.
Qualifying Examination
Upon successfully completing the written and oral portions of the Comprehensive
Examination, the candidate develops a dissertation proposal for Supervisory
Committee approval. Once approved, the candidate is said to have completed
the Qualifying Exam.
Dissertation Defense
Supervisory Committee approval of the draft copy of the dissertation permits the
scheduling of the dissertation defense. Before the defense can be taken, student
must fill out the Application for Advanced Degree. The final step is the
dissertation defense and final approvals of the dissertation document by the
committee, College Dean, and Graduate Dean.
Candidacy
After successful completion of the Qualifying Examination, the applicant
becomes a doctoral candidate.
Delivery Modes
Combination of on-campus and distance learning
Distance Learning
Several engineering graduate programs are available to qualified graduate
students through the College of Engineering Distance Learning program. The
Industrial and Systems Engineering and Engineering Management (ISEEM)
department has options of the MSE degree available to students who cannot
attend on campus classes. The ISEEM Department also has options of the
departmental PhD program available by distance learning. For information about
the availability of other Distance Learning programs, contact the Distance
Learning Office at (256) 824-6976.
Related Degrees
MSE Options
Master of Science in Engineering
Industrial Engineering
For more information click here
Systems Engineering
For more information click here
Engineering Management
For more information click here
Modeling & Simulation Concentration
For more information click here
Rotorcraft Systems Engineering
For more information click here
Missile Systems Engineering
For more information click here
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MSOR Options
Master of Science in Operations Research
MSOR
Ph.D. Options
For more information click here
Doctor of Philosophy in Industrial and Systems Engineering
Industrial Engineering
For more information click here
Systems Engineering
For more information click here
Engineering Management
For more information click here
Student Statistics
Not listed on web.
Core Faculty and Affiliation
ISEEM Faculty
Paul J. Componation ,Ph.D. Associate Professor
Phillip A. Farrington, Ph.D. Professor
Sampson Gholston, Ph.D.
Assistant Professor
Sherri Messimer, Ph.D.
Associate Dean for Engineering Student Affairs
James Swain, Ph.D.
Department Chair, Professor
Donald Tippett, D. Eng.
Associate Professor
Dawn R. Utley, Ph.D.
Associate Professor
College of Engineering Associate Dean,
Richard M. Wyskida, Ph.D.
Professor
Alisha Youngblood, Ph.D.
Assistant Professor
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
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Areas of Expertise
Center for Modeling, Simulation, and Analysis (CMSA)
Center for the Management of Science and Technology
Research Institute
Rotorcraft Systems Engineering and Simulation Center (RSESC)
Systems Management and Production Center
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University of Southern California
Institution:
University of Southern California
School:
USC Viterbi School of Engineering
Department:
Daniel J. Epstein Department of Industrial and
Systems Engineering
Degree:
Doctor of Philosophy in Industrial and Systems
Engineering
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Viterbi School at a Glance .................................................................................. 94
Vision Daniel J. Epstein Department of Industrial and Systems Engineering ..... 94
Doctor of Philosophy Degree Description ........................................................... 94
Admissions Criteria ............................................................................................. 94
Previous Degrees (BS or MS) ............................................................................. 95
GRE Required (Yes) ........................................................................................... 95
Program Requirements ....................................................................................... 95
Major and Minor Subjects ................................................................................... 95
Residency ........................................................................................................... 95
Minimum Credit Hour Load ................................................................................. 95
Total Credit Hours (64) ....................................................................................... 95
Credit Hours Beyond Master’s ..................................................................... 95
Credit Hours Without Master’s Degree (60) ................................................. 95
Dissertation Credits (4-6) ............................................................................. 96
Course Prerequisites .......................................................................................... 96
Academic Standing ............................................................................................. 96
Transfer Credits .................................................................................................. 96
Time Limits ......................................................................................................... 96
Examinations ...................................................................................................... 96
Screening Examination ....................................................................................... 96
Re-Takes ..................................................................................................... 98
Qualifying Examination (Written and Oral) .......................................................... 98
Re-Takes ................................................................................................... 100
Dissertation Defense......................................................................................... 100
Candidacy ......................................................................................................... 100
Delivery Modes ................................................................................................. 100
Distance Learning ............................................................................................. 100
Related Degrees ............................................................................................... 100
Master of Science Degrees ............................................................................... 100
Engineer Degree ............................................................................................... 101
Student Statistics .............................................................................................. 101
Core Faculty and Affiliation ............................................................................... 102
Tenured, Tenure Track, and Full Time Teaching Faculty ................................. 102
Emeriti Faculty .................................................................................................. 103
Research Faculty .............................................................................................. 103
Adjunct Faculty ................................................................................................. 103
Industry Faculty................................................................................................. 104
Program Statistics ............................................................................................. 104
Areas of Expertise............................................................................................. 105
Research .......................................................................................................... 105
Related Topics .................................................................................................. 105
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Viterbi School at a Glance
Founded: USC engineering began in 1905.
Student Population: Approximately 1,800 undergraduate students and 3,500
graduate students from 110 countries.
Faculty: 166 tenured and tenure-track faculty, with 49 endowed chairs and
professorships.
Academic Departments: 8
Alumni: More than 30,000
Centers: Awarded two National Science Foundation (NSF) Engineering
Research Centers (ERC); first University Center of Excellence funded by the
U.S. Department of Homeland Security; home to the Information Sciences
Institute.
Annual Research Support: Approximately $170 million, with more than 45
research centers and institutes.
Ranking: Consistently ranked among top 10 engineering programs.
Distance Education Network: The nation's largest e-learning professional
engineering program.
Vision Daniel J. Epstein Department of Industrial and Systems
Engineering
The Daniel J. Epstein Department of Industrial and Systems Engineering will be
a world leader in education, research, and innovation by creating, expanding,
and communicating knowledge for the design, operation, integration and
improvement of products, processes and socio-technical systems. Our faculty
and students will be leaders in the profession, shaping the future by contributing
creatively and analytically to solve societal problems.
Doctor of Philosophy Degree Description
The Ph.D. program prepares students for leadership in Industrial and Systems
Engineering research and university-level education. In addition to meeting
course requirements, students spend one or more years on Ph.D. dissertation
research. Students normally complete a master's degree before enrolling in the
PhD program. Policies for the Ph.D. are described in the Ph.D. Handbook (pdf).
Admissions Criteria
Minimum admission requirements for the Ph.D. in Industrial and Systems
Engineering are:
 GRE Verbal: 500
 GRE Quantitative: 700
 Preference is given to students who have already earned a Master of
Science degree in industrial engineering or a related field.
Applicants must supply transcripts, GRE score reports, three recommendation
letters, and a personal statement with the application form. An application fee is
required, but is waived for USC alumni.
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Previous Degrees (BS or MS)
Preference is given to students who have already earned a Master of Science
degree in industrial engineering or a related field.
GRE Required (Yes)
Minimums for admittance in program:
 GRE Verbal: 500
 GRE Quantitative: 700
Program Requirements
Major and Minor Subjects
Twelve units of a major concentration and nine units of an approved minor are
required.
Residency
Not listed on web.
Minimum Credit Hour Load
Not listed on web.
Total Credit Hours (64)
Credit Hours Beyond Master’s
Not listed on web.
Credit Hours Without Master’s Degree (60)
The Ph.D. requires 60 units of courses:
 Required Courses
6 units
o ISE 513 Inventory Systems*
o ISE 515 Engineering Project Management
 Major Concentration
12
units
o Production (514*, 520, 525, 532, 536, 538*, 563, 580) or
o Engineering and Technology Management (517, 527, 544, 545,
561, 562, 564, 570, 585) or
o Manufacturing (511, 517, 525, 527, 555) or
o System Engineering (517, 541, 542, 550, SAE 549)
 Approved Minor Courses (outside ISE Department)
9 units
 Other Industrial and Systems Engineering Courses
12
units
 Other Courses approved by advisor
13-15
units
 Ph.D. Seminar (ISE 650abcd)
2 units
 Dissertation (ISE 794abdcz)
4-6
units
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Dissertation Credits (4-6)
Four to six units of dissertation are required.
Course Prerequisites
Not listed on web.
Academic Standing
Not listed on web.
Transfer Credits
A maximum of 30 units of previously earned graduate coursework, earned at
USC or elsewhere, may be applied toward the Ph.D. with the approval of the
faculty. Accepted transfer coursework will be recorded with the screening
examination results.
Time Limits
Most Epstein ISE doctoral students are admitted to the doctoral program only
after completing an applicable master’s degree, normally an MS degree. For
students who earned an applicable master’s degree within five years prior to
admission to the Epstein ISE doctoral program, the time limit for completing the
doctoral degree is six years from the date of admission to the doctoral program.
The Epstein ISE faculty expects that most students will be able to fully complete
their doctoral program within five years from the date of admission to the
program. The Department tracks student progress in this dimension. At the end
of a student’s fifth year in the program, he or she will be notified that one year
remains for him or her to complete the requirements for his or her degree, and
the student will be required to submit a progress plan for the remaining year to
the Department Chair and his or her advisor.
If the student expects to require more than one year to complete his or her
program, and the student’s advisor attests to the student’s progress and likely
success, the student will be instructed to petition for a one-year extension in the
time permitted to complete the degree. The Department will normally permit a
single one year extension beyond the standard six-year time limit. The
Department will not normally grant requests for a second, one-year extension.
Examinations
Screening Examination
The Ph.D. screening examination is administered to students enrolled in the
Ph.D. program prior to beginning a dissertation proposal. The objective of the
examination is to assess the intellectual abilities of students, their knowledge of
industrial and systems engineering and the likelihood of completing the Ph.D.
program.
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The screening examination is composed of exams on three courses taken before
an audience of faculty members and the student’s academic record at USC. The
outcome of the examination is decided by a vote at the next faculty meeting
based on the performance on the course exams, research promise, and
academic record.
The examination must be taken before completing 24 units (counting only those
units earned after admission to the Ph.D.) and within three semesters of being
admitted to the Ph.D. program. Except under unusual circumstances, the
examination should not be taken before satisfying the prerequisites of the MSISE
degree program. (These prerequisites are summarized in the ISE Department’s
Graduate Handbook.)
1. Sixty days prior to the examination date, the student must make a formal
request to the ISE Graduate Committee about his or her intent to take the
examination. The formal request must include (a) a statement from the student’s
Faculty Advisor stating that the student has met all the requirements to take the
screening examination, and (b) a selected list of courses upon which to be
examined.
If the request to take the examination is denied by the Graduate Committee, a
study plan to meet the necessary requirements will be provided to the student.
If the student’s request is approved, then tenure-track faculty as a whole will
serve as the examination committee.
2. The student is responsible for selecting the courses on which he/she will be
examined from a list of approved graduate ISE courses. The list of approved
courses is divided into five categories: (1) production, (2) quantitative methods,
(3) engineering and technology management, (4) manufacturing and
mechatronics, and (5) systems architecture and engineering. See Table 1. No
more than two courses may be selected from any one category.
3. An exam is held for every course selected for screening by a student. The
Graduate Committee appoints at least two faculty members per course to
conduct the exam to all students screening on that course.
The exam may be a written test, an oral exam, or a combination of these to be
decided by the faculty conducting the exam. The Graduate Committee must
ensure that there is an oral component to at least one of the exams completed by
each student.
4. At least two faculty members adjudicate student performance in each exam.
The faculty members shall provide separate grades for each student. The grade
options are "high pass," "pass," "low pass," and "fail." All tenure-track faculty
present in the exam may submit a grade, however faculty submitting a grade
must evaluate all students being examined on that course.
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5. The screening examination will be offered once each semester on an
announced date. Two of the department’s regular (tenure-track) faculty must be
present in the exam of every course.
The result of the screening examination shall be made by the faculty present at a
faculty meeting following the completion of the doctoral screening examination.
The faculty will take into account the student’s performance on the examination,
compatibility of research interests with the faculty, the summary of each student's
academic performance to date, and any additional relevant information. The
decision may be: (a) pass, (b) fail, or (c) repeat. A pass or repeat requires
majority approval of the faculty present.
A passing grade signifies that the student has successfully completed the
screening examination and is accepted into the doctoral program on a full-time
basis.
A failing grade signifies that the student has not passed the screening
examination and will be dropped from the doctoral program.
Re-Takes
A repeat grade indicates that the student, although not having passed the
examination, will be given a second opportunity to take the screening
examination. Students given a repeat grade will be expected to take the
examination a second time in the following semester. Only one opportunity will
be allowed to repeat the examination.
Qualifying Examination (Written and Oral)
The qualifying examination is taken after passing the screening examination and
no sooner than completing 24 units within the Ph.D. program. It is usually taken
during the last semester of the second year of Ph.D. study or, at the latest, in the
fifth semester or equivalent. The Request to Take Qualifying Examination form
must be filed in the semester prior to taking the examination and at least 30 days
before beginning the written portion of the examination. The examination is
intended to determine the student's ability for original and scholarly research and
the student's ability to successfully complete a Ph.D. dissertation.
The examination can be scheduled at any time during the semester provided that
all members of the Guidance Committee are available. All portions of the
examination must be passed within 60 days of the start of the written
examination. After passing the qualifying examination the Ph.D. student is
admitted to candidacy by the Dean of Graduate Studies and the Dissertation
Committee is established. After qualifying, students will normally engage in at
least one year of full-time graduate study and research on campus.
The examination will consist of two parts, written and oral. At least 28 days prior
to the oral examination, the student must submit a written proposal for his or her
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dissertation research to the chair of the Guidance Committee. Failure to submit
on time will cause the oral examination to be postponed.
The proposal should include, at a minimum, a statement of the research topic
and intended research contribution, a review of relevant literature from archival
journals, the proposed methodology for addressing the research topic, and a
research plan. The chair of the Guidance Committee must then distribute the
proposal to all committee members at least 25 days in advance of the oral
examination.
Guidance Committee members will then have the opportunity to submit written
questions in advance of the examination. The questions must be pertinent to the
research proposal. They should be written with the intention of testing the
student's ability to complete a Ph.D. level dissertation within the proposed topic.
Questions must be submitted to the chair of the Guidance Committee at least 18
days in advance of the oral examination.
The Guidance Committee chair is responsible for editing the submitted
questions, with the objectives of ensuring consistency, relevance and clarity, and
ensuring that the examination can reasonably be completed within one week's
time. In cases where the Guidance Committee consists of more than five
members, then the chair should ensure that the total workload does not exceed
normal by limiting the number or length of questions.
The written portion of the examination is given to the student 14 days in advance
of the oral examination, and returned within 7 days (168 hours). The qualification
examination officially starts on the day that the student receives the written
examination. The answers should be submitted in writing and typewritten (when
feasible). The entire set of answers is then distributed to the entire Guidance
Committee. The chair should ensure that committee members receive the
answers within one day of the day received. Each committee member is
responsible for reviewing all answers, as well as the proposal, in advance of the
examination. Each member should also carefully assess the acceptability of the
answer to his or her own question. Members will not discuss the student's
performance with the student in advance of the oral examination.
The oral examination consists of two parts. In the first part, lasting up to 45
minutes, the student will give a presentation on his or her proposed research.
Committee members will have the opportunity to ask questions for the purpose of
clarification during the presentation. However, questions during the first part are
not intended to test the student. In the second part, lasting up to 60 minutes,
committee members will ask questions pertaining to the presentation, the written
proposal, or responses to the written examination. The objective of the questions
is to assess the student's abilities within the proposed area of research and
abilities for dissertation research.
After the student completes the second part of the oral examination, the
committee will meet in private to discuss the student's performance in the
examination. The decision of whether to pass, fail or retake is based on the
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student's total performance in the examination, combined with the student's
academic record.
Re-Takes
Students who fail the qualifying examination may be allowed, at the discretion of
the Guidance Committee, to retake the examination no sooner than 6 months
after the failed exam. In the case of a retake, both the written and oral portions
of the examination must be repeated. In the case of either a retake or a fail, the
committee chair will be responsible for explaining the basis for the decision to the
student and for summarizing the performance that is expected to pass a retake (if
applicable).
Students who fail to pass qualifying on the second attempt will be asked to leave
the Ph.D. program.
Dissertation Defense
A draft of the dissertation that is sufficiently complete to be used as a basis for
the defense is due to the Dissertation Committee at least 60 days prior to the
defense.
Candidacy
After passing the qualifying examination the Ph.D. student is admitted to
candidacy by the Dean of Graduate Studies.
Delivery Modes
On-campus only for Ph.D. degree, based on web search.
Distance Learning
Not for Ph.D. degrees.
Related Degrees
Master of Science Degrees
The Master of Science in Engineering Management prepares students for
project leadership in technology-driven organizations delivering a wide array of
goods and services. Many Engineering Management courses are offered at
night and through the Distance Education Network, so students can enroll while
continuing employment. (Open to grads from all engineering and technical
majors)
The Master of Science in Industrial and Systems Engineering prepares
students to become technical leaders in industrial engineering. (Primarily for
students who have an undergrad degree in industrial engineering, production
engineering or equivalent)
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The Master of Science in Industrial and Systems Engineering/Master of
Business Administration dual degree program is for students who want an
extended graduate program with depth in both business and engineering.
Normally, earning two such degrees would require completing at least 84 units of
courses and as many as 93 units, depending on the amount of coursework
relevant to both programs. This special dual degree option requires 66 units to
complete. Students must apply separately to the Epstein ISE Department and the
Marshall School of Business. Students must be admitted to both programs in
order to pursue the dual degree option.
The Master of Science in Manufacturing Engineering educates students in
modern manufacturing methods and control systems. (Primarily for students with
undergrad degrees in industrial, manufacturing, mechanical, or production
engineering)
The Master of Science in Operations Research Engineering trains students in
solving business problems with computers and mathematics. (Open to graduates
from all engineering and technical majors)
The Master of Science in Product Development Engineering is a joint
program with the Aerospace and Mechanical Engineering Department that
prepares engineers to become leaders in engineering design and new product
development.
The Master of Science in Systems Architecture and Engineering is a flexible
program for students who want to customize their curriculum in systems
engineering. The degree is especially well suited for students who have several
years of work experience and are preparing to move into engineering
management in systems intensive environments. (Open to graduates from all
engineering majors)
The Master of Science in Systems Safety and Security is an interdisciplinary
program, combining courses from the Viterbi School of Engineering and the
School of Policy, Planning and Development. The program is designed to
educate students in homeland security-related subjects. (Open to graduates from
all engineering and science majors, with some tracks open to applied social
science majors)
Engineer Degree
The Engineer degree is awarded under the jurisdiction of the Viterbi School of
Engineering, and is intended for students who intend to deepen their skills by
continuing their coursework beyond the normal requirements for an M.S. degree,
but who do not wish to complete the research requirements of the Ph.D.
Student Statistics
Not listed on web.
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Core Faculty and Affiliation
Tenured, Tenure Track, and Full Time Teaching Faculty

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
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

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Barry Boehm (TRW Professor): Software Engineering; National Academy
of Engineering.
Geza P. Bottlik (Senior Lecturer): Inventory, Production, and Engineering
Management.
Yong Chen (Assistant Professor): Computer-aided Design, Geometric
Reasoning and Rapid Prototyping.
Elaine Chew (Associate Professor): Multimedia, Human Cognition and
Music; NSF Presidential Award (PECASE).
Maged M. Dessouky (Professor): Production, Inventory and
Transportation.
George Friedman (Professor of the Practice of Engineering): Systems
Engineering and Space Systems.
Randolph W. Hall (Professor and USC Vice Provost for Research):
Logistics, Distribution and Transportation.
Nitn Kale (Senior Lecturer): Enterprise Resource Planning and Business
Intelligence Systems.
Behrokh Khoshnevis (Professor): Manufacturing, Technology
Development and Simulation.
Stephen Lu (Packard Chair Professor): Engineering Management,
Manufacturing Automation; NSF Career Award.
Najmedin Meshkati (Professor): Human Factors; NSF Career Award.
James E. Moore, II (Professor and Chair): Transportation Networks and
Policies, Terrorist and Seismic Risk, Infratructure Investment.
Fernando Ordóñez (Assistant Professor): Computation and Optimization.
Kurt D. Palmer (Associate Professor of the Practice of Engineering):
Quality and Reliability.
Joe S. Qin (Flour Chair Professor): Chemical and Manufacturing Process
Optimization, Efficiency, and Control; NSF Career Award.
Mansour Rahimi (Associate Professor): Human Computer Interfaces,
Human Factors , and Industrial Ecology.
Sheldon M. Ross (Epstein Chair Professor): Financial Engineering,
Simulation.
F. Stan Settles (IBM Chair Professor and Associate Chair): Engineering
Management, Systems Architecting; National Academy of Engineering.
Dana Sherman (Senior Lecturer): Engineering Accounting, Law, and Ethics.
Richard Vawter (Senior Lecturer): Enterprise Resource Planning and
Supply Chain Management.
Detlof von Winterfeldt (Professor): Decision and Risk Analysis.
Shinyi Wu (Assistant Professor): Healthcare Systems Improvement,
Quality Control, and Management Engineering.
Maria Yang (Assistant Professor): Interaction/Interface Design; NSF
Career Award.
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Emeriti Faculty
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Gerald A. Fleischer (Professor Emeritus): Engineering Economy and
Finance.
Ralph L. Keeney (Professor Emeritus): Decision Analysis; National
Academy of Engineering.
Gerald Nadler (IBM Chair Professor Emeritus): Engineering Management;
National Academy of Engineering.
Research Faculty
Research faculty in the Viterbi School of Engineering have no teaching
obligation, though many elect to teach up to one course per year. The criteria for
research faculty appointments include scholarship and extramural funding
commensurate with the research profiles typical of tenured and tenure-track
faculty.
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
Yigal Arens (Research Professor): Digital Government, Intelligent
Systems, Interfaces.
Carole Beal (Research Professor): Educational Technology, Machine
Learning.
Malcom Currie (Research Professor): Engineering Management; National
Academy of Engineering.
Mohamed I. Dessouky (Adjunct Professor): Computers and Industrial
Engineering.
Don Kleinmuntz (Research Professor): Decision Analysis, Resource
Allocation Modeling.
Raymond Madachy (Research Assistant Professor): Architecting and
Engineering of Software-Intensive Systems.
Richard Waltz (Research Assistant Professor): Algorithms and Software
for Optimization.
Peter Will (Research Professor): Manufacturing Automation.
Adjunct Faculty
Though not a matter of policy, the practices of the USC Viterbi School of
Engineering reveal a strong preference for restricting adjunct
faculty appointments to individuals with doctoral degrees. Adjunct faculty
members are occasionally appointed on the basis of other criteria, such as other
graduate credentials or decades of distinguished industry experience. The
Epstein Department considers appointing individuals to adjunct faculty ranks on a
case-by-case basis, and only if there are compelling rationales that speak to the
individual’s strong qualifications for the role. These might include distinguished
professional experience, professional honors and awards (such as
NAE/NAS/IOM membership), or flag rank.

Daniel G. Harvey, Jr.: (Adjunct Associate Professor) Stochastic
Processes, Simulation, Business Processes and Databases.
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James (Jim) E. Hines, Jr. (Adjunct Associate Professor): Systems
Engineering and Project Management.
Paul J. Kern (Adjunct Professor): Information Technology and
Organizations, Systems Engineering, Logistics, and Materiale; National
Academy of Engineering.
Michael Mann (Adjunct Professor): Technology Management.
Thomas L. McKendree (Adjunct Associate Professor): Systems
Architecting & Engineering, and Intelligent Transportation Systems.
Jeffrey H. Smith (Adjunct Associate Professor): Multiattribute Decision
Analysis, Mathematical Modeling & Simulation, and Robotics.
Marilee J. Wheaton (Adjunct Associate Professor): Systems Engineering
and Space Systems.
Industry Faculty
The unique professional environment that defines the Los Angeles metropolitan
area provides the Epstein ISE Department with access to Industry
faculty members drawn from the ranks of leading national experts. These full
time professionals and industry leaders bring unusual levels of depth,
sophistication, and relevance to the various graduate curricula mounted by the
Epstein Department.

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
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
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
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Virgil Adumitroaie: Advanced Economic Analysis.
David Belson: HealthCare, Management Engineering, and Project
Management.
Steven Benshoof: Enterprise Systems and Technology Management.
Kennneth L. Cureton: The Political Process in Systems Architecture
Design, Net-Centric Systems.
Maria DePool: Health Care and Quality Management.
Jairus M. Hihn: Advanced Economic Analysis.
Denise Howard: Systems Architecting.
Scott Jackson: Systems Engineering.
Erich Kreidler: Project Management and Quality Control.
Ted Mayeshiba: Lean Operations and Manufacturing.
Al Morelli: Manufacturing and Operations Engineering.
Raymond Rakhshani: Manufacturing.
John Schroeder: Systems Engineering.
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
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Areas of Expertise
Research
Students choose USC because of its leadership in ISE research. Our faculty
works with the National Science Foundation, the Integrated Media Systems
Center (based at USC) and private companies, to stay at the forefront of
innovation in software, control systems and engineering management. USC's
research leadership is reflected in our faculty's membership in the prestigious
National Academy of Engineering, publications in top journals and patents for
computer-based technologies.
Related Topics

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
Articles
Books
Current Faculty Research Projects
Research Centers

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
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Center for Rapid Automated Fabrication Technologies (CRAFT)
Center for Risk and Economc Analysis of Terrorism Events (CREATE)
Center for Sustainable Cities (CSC)
Center for Systems and Software Engineering (CSSE)
Contour Crafting (CC)
Information Sciences Institute (ISI)
Integrated Media Systems Center (IMSC)
National Center for Metropolitan Transportation Research (METRANS)
USC Stevens Institute for Innovation
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Institution:
University of Virginia
School:
University of Virginia School of Engineering and
Applied Science
Department:
Department of Systems and Information
Engineering
Degree:
Doctor of Philosophy in Systems Engineering
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School of Engineering Mission .......................................................................... 108
Department of Systems and Information Engineering....................................... 108
Doctor of Philosophy Degree Description ......................................................... 108
Admissions Criteria ........................................................................................... 108
Previous Degrees (BS or MS) ........................................................................... 108
GRE Required (Yes) ......................................................................................... 108
Program Requirements ..................................................................................... 108
Major and Minor Subjects ................................................................................. 108
Residency ......................................................................................................... 108
Minimum Credit Hour Load ............................................................................... 109
Total Credit Hours (72) ..................................................................................... 109
Credit Hours Beyond Master’s (24?).......................................................... 109
Credit Hours Without Master’s Degree (48) ............................................... 109
Dissertation Credits (24) ............................................................................ 109
Course Prerequisites ........................................................................................ 109
Academic Standing ........................................................................................... 109
Transfer Credits ................................................................................................ 110
Time Limits ....................................................................................................... 110
Examinations .................................................................................................... 110
Ph.D. qualifying examination ............................................................................ 110
Public Oral Proposal Presentation .................................................................... 110
Candidacy ......................................................................................................... 110
Dissertation Defense......................................................................................... 110
Delivery Modes ................................................................................................. 111
Distance Learning ............................................................................................. 111
Commonwealth Graduate Engineering Program .............................................. 111
Related Degrees ............................................................................................... 111
Graduate Degrees from the Systems and Information Engineering Department
...................................................................................................................... 111
Student Statistics .............................................................................................. 111
SIE Faculty ....................................................................................................... 112
Courtesy Appointments ..................................................................................... 113
Visiting Faculty .................................................................................................. 113
Program Statistics ............................................................................................. 113
Areas of Expertise............................................................................................. 114
Research Group Faculty ................................................................................... 114
Systems Integration ................................................................................... 114
Human Factors .......................................................................................... 114
Computational Statistics and Simulation .................................................... 114
Risk and Decision Analysis ........................................................................ 114
Optimization and Control ........................................................................... 114
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School of Engineering Mission
To achieve international prominence as a student-focused school of engineering
and applied science that educates men and women to be leaders in technology
and society and that contributes to the well-being of our citizens through the
creation and transfer of knowledge.
Department of Systems and Information Engineering
Systems engineering focuses on the big picture of system integration and
analysis. Systems engineers seek solutions to large-scale, complex problems
that require the integration of technological, organizational, human and economic
factors. They are skillful in the use of analytical and computational techniques,
problem solving methodologies and eclectic solution design.
Doctor of Philosophy Degree Description
The Doctor of Philosophy in Systems Engineering is an advanced graduate
degree for those wishing to contribute to knowledge through independent,
original research at the cutting edge of the field. The program provides a
springboard for careers as academicians, researchers, consultants, and higherlevel engineering managers in universities, institutes, industry, and government.
Admissions Criteria
Previous Degrees (BS or MS)
An applicant must have a baccalaureate degree from a recognized college or
university. While this degree will normally be in the field of engineering or applied
science, degrees in other fields may be acceptable. Undergraduate courses that
may be required to remedy deficiencies must be taken without credit. An
applicant should have a B average for admission into graduate studies.
GRE Required (Yes)
Standardized test scores provide a standard measure from which we can
compare applicants against one another. GRE General Test scores are required
by all applicants. All three tests (Verbal, Quantitative, and Analytical) are viewed
in the application process and all tests are important.
Program Requirements
Major and Minor Subjects
Residency
At least one session beyond the master's degree must be in full residence at the
University of Virginia in Charlottesville. For the purpose of satisfying these
requirements, two regular semesters (not including summer sessions) will be
considered as one session.
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Minimum Credit Hour Load
Total Credit Hours (72)
Credit Hours Beyond Master’s (24?)
The program must also include a minimum of 24 credits of formal course work –
Implies up to 24 credits may be transferred.
Credit Hours Without Master’s Degree (48)
The program requires a minimum combined 72 credits of research and graduate
level course work beyond the baccalaureate and 24 credits of research are
required, leaving 48 credits of graduate level course work.
Dissertation Credits (24)
All graduate students doing research will be registered for the appropriate
research course. Credits will be assigned to this course in such a way that the
total number of hours for which the student is registered will reflect the fraction of
time devoted to progress toward a degree. Students must register for a minimum
of six credits of research for the Master of Science (thesis) degree and 24 credits
of research for the Ph.D. degree. In many cases research in excess of these
minimum requirements, particularly for the Ph.D. degree, will be desirable.
Project research for the Master of Engineering or Master of Applied Science
(non-thesis) degree is encouraged and, in some curricula, required.
Course Prerequisites
General requirements for admission into the Graduate Program in Systems
Engineering from UVA are those of the School of Engineering and Applied
Science. In addition, prospective candidates should meet the following
prerequisites:
 Calculus: One year of undergraduate calculus, including real analysis and
ordinary differential equations. Equivalent UVA courses are: APMA 111,
APMA 212 and APMA 213.
 Computer Programming. Working knowledge of at least one high level
programming language such as Fortran, Pascal, or C. Equivalent UVA
courses are CS 210 and CS 360.
 Probability and statistics. At least two undergraduate courses in calculusbased probability and statistics. Equivalent UVA courses are APMA 310
and APMA 312.
 Linear Algebra. At least one undergraduate course in linear algebra. An
equivalent UVA course is APMA 308.
Academic Standing
To obtain a graduate degree in the School of Engineering and Applied Science, a
graduate student must have a minimum average grade of B on all graded
graduate course work taken at the University of Virginia while a graduate student.
No grade lower than a C will be acceptable toward meeting the requirements for
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a graduate degree. If a course is repeated, both grades will be used in computing
the overall grade average. Undergraduate courses and courses taken on a
Credit/No Credit basis may not be used to meet requirements for a graduate
degree and will not be used in computing the grade average. A 10-day period
past the end of the semester (end of the examination period) is automatically
allowed to remove an incomplete. Maximum extension to the end of the following
semester (following fall for a spring class and spring for a fall class) may be
granted upon special request to the Dean's Office.
Transfer Credits
Doctor of Philosophy Candidates' transfer of courses from other schools of
recognized standing must be included for approval on the program study.
Time Limits
All requirements for the Doctor of Philosophy degree must be completed within
seven years after admission to the doctoral program. Expired credits may be
revalidated, upon approval of the advisor, the department Graduate Studies
Committee, and the office of the Dean.
Examinations
Ph.D. qualifying examination
The objective of the examination is to determine whether the student has
assimilated and is able to integrate a body of advanced knowledge.
Public Oral Proposal Presentation
In preparation for conducting research and writing the dissertation, a student
must prepare a written dissertation proposal. This proposal describes the current
state of the art with bibliography, outlines the proposed method of investigation,
and discusses the anticipated results. The student then makes a public, oral
presentation of the proposal and its associated assessment to the advisory
committee, with all members of the faculty invited to attend. After the oral
presentation, the student submits the written dissertation proposal for approval to
the department faculty (or its designated committee) and the Office of the Dean.
Candidacy
A student must have satisfactorily completed the Ph.D. examination and received
approval for the dissertation proposal before being admitted to candidacy.
Admission to candidacy must be completed at least one semester before the
degree is awarded.
Dissertation Defense
Satisfactorily present and defend the dissertation in a public forum. The
dissertation defense and the associated assessment is conducted orally and
publicly by a committee appointed by the Office of the Dean; this committee must
include the candidate's advisory committee. The examination is held after the
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candidate has submitted the dissertation and it is designed to test the student's
knowledge of a field of research. Candidates who are accepted by the examining
committee and approved by the faculty will be presented for degrees at the first
scheduled graduation exercises of the University following completion of the
requirements;
Delivery Modes
Distance Learning
None for PhD program.
Commonwealth Graduate Engineering Program
The leading universities in the Commonwealth of Virginia have developed a
distance learning program to make master's degrees in several engineering
disciplines easily available to qualified engineers. At the center of the system is
the graduate engineering program of the University of Virginia.
This nationally ranked university broadcasts regular master's courses via video
conferencing from special classrooms on campus to sites in Virginia as well as
out of state. The classes are received live, and students are able to participate
fully in all classroom discussions. Classes are scheduled in late afternoon and
early evening hours.
Related Degrees
Graduate Degrees from the Systems and Information
Engineering Department
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
Accelerated Masters Program
or go directly to the Program's website.
Commonwealth Graduate Engineering Program
or go directly to the Program's website.
University Program: Master of Engineering
or go directly to the Department's Handbook.
University Program: Master of Science
or go directly to the Department's Handbook.
University Program: Doctor of Philosophy (PhD)
or go directly to the Department's Handbook.
Student Statistics
88 Current Grad students – PhD students unknown.
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SIE Faculty
Reid Bailey
Assistant Professor
Office: 114B
Phone: 434-924-6352
Email: rrb5b@virginia.edu
Ellen J. Bass
Assistant Professor
Office: Olsson 118C
Phone: 434-243-5531
Email: ejb4n@virginia.edu
Peter A. Beling
Associate Professor
Office: Olsson 101D
Phone: 434-982-2066
Email: pb3a@virginia.edu
Donald E. Brown
W.S. Calcott Professor and
Chair
Office: Olsson 114A
Phone: 434-982-2074
Email: brown@virginia.edu
Ginger M. Davis
Assistant Professor
Office: Olsson 101C
Phone: 434-924-1723
Email:
gingerdavis@virginia.edu
Randy Cogill
Assistant Professor
Office: Olsson 102G
Phone: 434-924-4488
Email: rcogill@virginia.edu
Alfredo Garcia
Associate Professor
Office: Olsson 101A
Phone: 434-982-2191
Email: ag7s@virginia.edu
Stephanie Guerlain
Associate Professor
Office: Olsson 118B
Phone: 434-924-4438
Email: guerlain@virginia.edu
Gregory J. Gerling
Assistant Professor
Office: Olsson 101E
Phone: 434-924-0533
Email: gregorygerling@virginia.edu
Yacov Y. Haimes
Lawrence R. Quarles
Professor
Office: Olsson 112
Phone: 434-924-3803
Email: haimes@virginia.edu
Barry Horowitz
Professor
Office: Olsson 102E
Phone: 434-924-0306
Email: bh8e@virginia.edu
Thomas E. Hutchinson
Professor Emeritus
Email: teh@virginia.edu
Roman Krzysztofowicz
Professor
Office: Olsson 103A
Phone: 434-982-2067
Email: rk@virginia.edu
James H. Lambert
Research Associate Professor
Office: Olsson 112B
Phone: 434-982-2072
Email: lambert@virginia.edu
Gerard P. Learmonth Sr
Research Associate
Professor
Office: Olsson 102B
Phone: 434-982-2100
Email:
learmonth@virginia.edu
Garrick E. Louis
Associate Professor
Office: Olsson 102A
Phone: 434-982-2742
Email: gel7f@virginia.edu
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Stephen D Patek
Associate Professor
Office: Olsson 101C
Phone: 434-982-2052
Email: patek@virginia.edu
Joost R. Santos
Research Assistant Professor
Office: Olsson
Phone: 434-924-3283
Email: jrs8e@virginia.edu
William T. Scherer
Professor
Office: Olsson 102H
Phone: 434-982-2069
Email: wts@virginia.edu
Michael C. Smith
AMP Executive Director
Associate Professor
Office: Albert Small 107
Phone: 434-924-0320
Email: mcs5f@virginia.edu
K Preston White Jr
Professor
Office: Olsson 102H
Phone: 434-982-2070
Email: kpw8h@virginia.edu
Michael C. Smith
Professor
Office:
Phone:
Email: @virginia.edu
Courtesy Appointments
Michael E. Gorman
Professor
Office:
Phone:
Email: @virginia.edu
Visiting Faculty
Gary R. Allen
Professor
Office:
Phone:
Email: @virginia.edu
Michael D. DeVore
Professor
Office:
Phone:
Email: @virginia.edu
Robert J. Beaton
Professor
Office:
Phone:
Email: @virginia.edu
Robert Oliver
Professor
Office:
Phone:
Email: @virginia.edu
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
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May 2008
Areas of Expertise
Research Group Faculty
Technical Papers now available online
Systems Integration
 Barry Horowitz
 Garrick Louis
 William Scherer
 Michael Smith
Human Factors
 Ellen Bass
 Greg Gerling
 Stephanie Guerlain
Computational Statistics and Simulation
 Donald Brown
 Ginger Davis
 Michael DeVore
 Preston White
Risk and Decision Analysis
 Yacov Haimes
 Roman Krzysztofowicz
 Jim Lambert
 Joost Santos
Optimization and Control
 Peter Beling
 Alfredo Garcia
 Steve Patek
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Institution:
Washington University in St. Louis
School:
School of Engineering
Department:
The Preston M. Green
Department of Electrical and
Systems Engineering
Degree:
Doctor of Philosophy in Systems Science and
Mathematics
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Washington University Engineering .................................................................. 117
Our Vision ......................................................................................................... 117
Our Niche .......................................................................................................... 117
Our Mission ....................................................................................................... 117
Department of Electrical and Systems Engineering (ESE) ............................... 117
Doctor of Philosophy in Systems Science and Mathematics Description.......... 118
Admissions Criteria ........................................................................................... 118
Coursework ....................................................................................................... 118
Previous Degrees (BS or MS) ........................................................................... 119
GRE Required (Yes) ......................................................................................... 119
Program Requirements ..................................................................................... 119
Residency ......................................................................................................... 119
Minimum Credit Hour Load ............................................................................... 119
Total Credit Hours (72) ..................................................................................... 119
Credit Hours Beyond Master’s ................................................................... 119
Credit Hours Without Master’s Degree (36) ............................................... 119
Dissertation Credits (24) ............................................................................ 120
Teaching Requirement...................................................................................... 120
Course Prerequisites ........................................................................................ 120
Academic Standing ........................................................................................... 120
Transfer Credits ................................................................................................ 120
Time Limits ....................................................................................................... 120
Examinations .................................................................................................... 120
Written Qualifying Examination) ........................................................................ 120
Re-Takes ................................................................................................... 121
Preliminary Research Examination (Oral) ......................................................... 121
Doctoral Dissertation......................................................................................... 121
Final Oral Examination...................................................................................... 122
Candidacy ......................................................................................................... 122
Delivery Modes ................................................................................................. 122
Distance Learning ............................................................................................. 122
Related Degrees ............................................................................................... 122
Master's Programs ............................................................................................ 122
Doctoral Programs ............................................................................................ 122
Graduate Certificate Program ........................................................................... 122
Student Not Candidate for Degree .................................................................... 122
Student Statistics .............................................................................................. 123
Core Faculty and Affiliation ............................................................................... 123
Faculty .............................................................................................................. 123
Program Statistics ............................................................................................. 124
Areas of Expertise............................................................................................. 124
Research Areas with Primary Labs & Centers .................................................. 124
Research Laboratories...................................................................................... 125
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Washington University Engineering
Our Vision
The School’s vision builds on two key premises. First, we recognize the changing
role of engineering as a discipline within the university. So much of the
excitement in research and teaching is at the interface between engineering and
other disciplines, and technology is enabling other disciplines.
This potential synergy between engineering and other disciplines provides our
School of Engineering with a great opportunity to have more impact than our size
might otherwise suggest.
Second, the faculty within the School have acknowledged a responsibility to
respond to national and international needs in areas such as health, energy,
environment, poverty, and security. We want our work to have an impact, to
make a difference to the world.
In fact, we believe that in the next decade engineering will come to be defined
through its innovative partnerships with other disciplines. We anticipate that this
interplay of disciplines will have a profound effect on the future of engineering
research and education.
Our Niche
Recognizing that the School of Engineering at Washington University exists
within a great life science university, many of our areas of intellectual focus are at
the intersection between engineering and medicine and biology.
We also have a truly unique opportunity to collaborate with one of the country’s
best schools of social work and policy in the area of adapting technology for
international social and economic development.
Finally, we have exceptional opportunities for international collaborations offered
by the McDonnell International Scholars Academy, which currently includes
twenty-four partner universities across Asia, the Middle East, South America, and
Eastern Europe. Collaborative research, faculty and student exchanges, and
study abroad programs are all developing through this Academy and with other
universities abroad.
Our Mission
We are an engineering school in service to society, and our aim is to contribute
to solving society’s challenges through the discovery of new knowledge and by
educating students for leadership roles in a global society.
Department of Electrical and Systems Engineering (ESE)
The Department of Electrical and Systems Engineering (ESE) was formed in
2003 as a merger between Electrical Engineering (EE) and Systems Science and
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Mathematics (SSM). EE was the second-oldest electrical engineering department
in the United States. Since its inception, it has made contributions to education
and research in applied physics, electronics, communications, signal processing,
and biomedical engineering. SSM was a unique department specializing in
applied mathematics, systems, and control. ESE faculty are dedicated to highquality education and research, and are active in research programs with a wide
variety of engineering and science topics. They lead national and international
research teams and collaborate on interdisciplinary research projects at
Washington University.
Doctor of Philosophy in Systems Science and Mathematics
Description
The Ph.D. in Systems Science and Mathematics is an academic doctoral degree
designed mainly for full-time students interested in an academic, laboratory,
and/or industrial research and development career in a specialized area of
systems, control, or applied mathematics.
Admissions Criteria
There are seven stages to the completion of the requirements for the degree
Ph.D. in Systems Science and Mathematics. Each candidate for the degree
must:
1. Complete at least 36 hours of post-baccalaureate coursework.
2. Pass a written qualifying examination, to be taken before the second
academic year of the program.
3. Pass an oral preliminary research examination, to be completed within two
years of passing the written qualifying examination, and at least one year
prior to completion of the dissertation.
4. Satisfy the general residency requirement for Ph.D. degrees offered by the
Graduate School of Arts and Sciences.
5. Satisfy the general teaching requirement for Ph.D. degrees offered by the
Graduate School of Arts and Sciences.
6. Write a doctoral dissertation that describes the results of original and
creative research in a specialization within systems science and
mathematics.
7. Pass a final oral examination in defense of the dissertation research.
Coursework
The following are required core courses for Ph.D. in SSM that are specifically
required by name and number:
ESE 520:
ESE 551:
ESE 553:
Math 4111:
Probability and Stochastic Processes
Linear Dynamic Systems I
Nonlinear Dynamic Systems
Introduction to Analysis
In addition, at least two courses from the following list must be taken:
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ESE 516:
ESE 544:
ESE 552:
ESE 556:
Optimization in Function Space
Optimization and Optimal Control
Linear Dynamic Systems II
Computational Methods in Systems
All other courses used to satisfy the 36-hour coursework requirement must be
technical courses at the senior level or above, and must be deemed relevant to
the field of systems science and mathematics. These may include courses from
the departments of Electrical and Systems Engineering; Mathematics; Physics;
Biology; Computer Science and Engineering; Energy, Environmental, and
Chemical Engineering; Mechanical and Aerospace Engineering; Biomedical
Engineering; or other departments as appropriate.
Previous Degrees (BS or MS)
BS or MS.
GRE Required (Yes)
Appears to be required.
Program Requirements
Residency
The residency requirement applies to all students pursuing Ph.D. degrees at
Washington University. During the satisfactory completion of 72 credit hours, at
least 48 credit hours must be earned at Washington University. Any exception
to the residency requirement must be approved by the Dean of the Graduate
School of Arts and Sciences.
Minimum Credit Hour Load
At least one academic year as a student taking full-time coursework (at least nine
units in the Fall and nine units in the Spring) is required. Although
circumstances may vary, the Department of Electrical and Systems Engineering
encourages full-time study throughout completion of the degree requirements.
Total Credit Hours (72)
Credit Hours Beyond Master’s
Not listed on web.
Credit Hours Without Master’s Degree (36)
Students pursuing the degree Doctor of Philosophy in Systems Science and
Mathematics must complete a minimum of 72 credit hours of post-baccalaureate
study consistent with the residency and other applicable requirements of
Washington University and the Graduate School of Arts and Sciences. These 72
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units must consist of at least 36 units of coursework and at least 24 units of
research, and may include work done to satisfy the requirements of a master’s
degree in a related discipline. Up to 24 units may be transferred to Washington
University from another institution.
Dissertation Credits (24)
At least 24 units of research.
Teaching Requirement
Ph.D. students must accumulate at least 14 hours of teaching at the basic level,
and four hours of teaching at the advanced level. This teaching requirement is
met through teaching laboratories, help sessions, lectures in undergraduate
classes, and graduate seminars.
Course Prerequisites
Not listed on web.
Academic Standing
Not listed on web.
Transfer Credits
Up to 24 units may be transferred to Washington University from another
institution.
Time Limits
The Ph.D. degree should ordinarily take no more than five years to complete, for
students who enter the program with a baccalaureate degree. While individual
circumstances will vary, the typical timeline will be as follows:
Year 1:
Year 2:
Year 3:
Year 4:
Year 5:
examination
Coursework and written qualifying examination
Coursework, preliminary research, research advisory
committee selection
Coursework and preliminary research examination
Research
Research, completion of dissertation, and final oral
Students who enter the program with a master's degree may be able to shorten
this timeline by one year or more.
Examinations
Written Qualifying Examination
Schedule: The written qualifying examination will be given once a year, during
the summer break, usually in August before the start of classes for the fall
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semester. SSM doctoral students are expected to take the exam after their first
academic year of the program has been completed.
Structure: The written examination will consist of three 2-hour examinations
chosen by the student from a menu of 7 topics.
Exam Topics: Each examination will cover theoretical material from both
undergraduate and graduate level courses and is based on a syllabus of topics
for each specific area. The areas are
1.
Signal Processing and Communication Theory.
2.
Probability and Statistics
3.
Linear Systems Theory
4.
Nonlinear Systems Theory
5.
Optimization and Computational Methods
6.
Electromagnetic Engineering
7.
Electronic Devices and Circuits
Grading: Students will receive one of three grades on the exam as a whole:
Pass, Marginal Performance, or Fail. An exam grade of Pass will be considered
evidence of satisfactory progress in the first year of the Ph.D. program.
Re-Takes
Students awarded a Marginal Performance on the first attempt may take the
examination a second time after one year's time. Students retaking the
examination must take the entire examination, but may change topics if they
wish. Students who fail the exam on the first attempt will not be allowed to retake
the exam, and will be asked to leave the doctoral program. Students not awarded
a Pass on the second attempt will be asked to leave the doctoral program.
Preliminary Research Examination (Oral)
The preliminary research examination is an oral examination in which students
make a presentation on their preliminary research and closely related topics,
then field questions from the Research Advisory Committee (see description
below) in a closed session. Students are expected to show satisfactory progress
in the initial stages of a program of original and creative research, to demonstrate
mastery of the state-of-the-art in their particular field of interest, and to present
tentative plans for the next stages of the research.
Doctoral Dissertation
Working closely with his or her research supervisor and the Research Advisory
Committee (see description below), the candidate will be expected to make an
original contribution to knowledge in some branch of the field of systems science
and mathematics. The work must be of sufficient scope and quality to be
publishable, perhaps as several individual papers, in recognized archival
engineering, science, or mathematical journals. The completed body of work will
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
121
May 2008
be written in the form of a doctoral dissertation, which upon acceptance becomes
a publicly available document archived by the Washington University libraries.
Final Oral Examination
At the completion of his or her dissertation, the candidate will make a one-hour
presentation of the key research results in a public forum, and then field
questions from the Dissertation Examination Committee (see description below)
in a closed session.
Candidacy
To be admitted to candidacy for the Doctor of Science degree, a student must
pass a comprehensive qualifying examination consisting of both written and oral
portions. The written portion of the examination is administered by the student's
department or program, and students should consult their advisor for information
concerning the scope of the examination and the dates on which it is given.
Students passing the written portion of the examination are eligible to take the
oral portion. The examining panel for the oral portion will consist of the student's
doctoral committee, plus additional members recommended by the student's
doctoral committee and approved by the department chair or program director
and the engineering school's Senior Associate Dean. The panel will have a
minimum of five members, representing two or more departments at Washington
University.
Delivery Modes
Distance Learning
Not listed on Web.
Related Degrees
Master's Programs
Master of Science in Electrical Engineering
Master of Science in Systems Science and Mathematics
Doctoral Programs
Doctor of Philosophy in Electrical Engineering
Doctor of Philosophy in Systems Science and Mathematics
Doctor of Science in Electrical Engineering
Doctor of Science in Systems Science and Mathematics
Graduate Certificate Program
Imaging Science and Engineering
Student Not Candidate for Degree
SNDC
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
122
May 2008
Student Statistics
PhD/DSc : 50
MSEE/MSSSM:70
Undergrad:100
Core Faculty and Affiliation
Professors :
12
Assoc. Prof.:
3
Asst Prof.:
2
Emeriti:
6
Affiliate Prof.:
3
Adjunct Prof.:
Senior Prof. :
4
Lecturer:
1
Research Associates:
2
2
Faculty
Department Chair
Nehorai, Arye
(314) 935-7565
nehorai@ese.wustl.edu
Tenured/Tenure-track Faculty
Arthur, R. Martin
(314) 935-6167
rma@ese.wustl.edu
Byrnes, Christopher I.
(314) 935-6067
chrisbyrnes@seas.wustl.edu
Fuhrmann, Daniel R.
(314) 935-6163
danf@ese.wustl.edu
Indeck, Ronald S.
(314) 935-4767
rsi@ese.wustl.edu
Katz, I. Norman
(314) 935-6083
katz@ese.wustl.edu
Li, Jr-Shin
(314) 935-7340
jsli@ese.wustl.edu
Min, Paul S.
(314) 935-8584
psm@ese.wustl.edu
Morley Jr., Robert E
(314) 935-5067
rem@ese.wustl.edu
Mukai, Hiro
(314) 935-6064
mukai@ese.wustl.edu
O'Sullivan, Joseph A.
(314) 935-8054
jao@ese.wustl.edu
Rode, Daniel Leon
(314) 935-5575
dlr@ese.wustl.edu
Rodin, Ervin Y.
(314) 935-6007
ervin@rodin.wustl.edu
Schaettler, Heinz Michael
(314) 935-6019
heinz@ese.wustl.edu
Spielman, Barry E.
(314) 935-6162
bes@ese.wustl.edu
Tarn, Tzyh-Jong
(314) 935-6037
tarn@wuauto.wustl.edu
Yang, Lan
(314) 935-9543
yang@ese.wustl.edu
Emeriti Faculty
Boothby, William
Brown, Lloyd R
boothby@wustl.edu
(314) 935-6131
lrb@wustl.edu
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
123
May 2008
Elliott, David L.
delliott@umd.edu
Greory, Robert O.
rog@ese.wustl.edu
Kline, Raymond M.
rmk@ese.wustl.edu
Wolfe, Charles
wolfe@wustl.edu
Affiliate Professor
Gilliam, David S.
(314) 935-5565
david.gilliam@ttu.edu
Isidori, Alberto
(314) 935-5565
isidori@ese.wustl.edu
Lindquist, Anders G.
(314) 935-5565
alq@math.kth.se
Adjunct Professor
Dille, James
Ganesan, Narayan
nganesan@wustl.edu
Senior Faculty
Muller, Marcel W.
mwm@ese.wustl.edu
Pickard, William F.
(314) 935-6104
wfp@ese.wustl.edu
Shrauner, Barbara
(314) 935-6134
bas@ese.wustl.edu
Snyder, Donald L.
(314) 935-6159
dls@ese.wustl.edu
(314) 935-7240
hasting@ese.wustl.edu
Richter, Ed
(314) 935-7333
ed@ese.wustl.edu
Trobaugh, Jason
(314) 935-7549
jasont@ese.wustl.edu
Lecturer
Hasting, Martha
Research Associates
Program Statistics
Accreditation status:
unknown
Annual admits:
unknown
Annual graduates: unknown
Areas of Expertise
Research Areas with Primary Labs & Centers
The department has three main research areas with common applications
of societal interests shown below. Follow the links below to learn more about
faculty involved in each of our research areas.
Other Research Areas
Magnetics, Data Storage Systems, VLSI Mixed Signal Design, Embedded
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
124
May 2008
Systems, Micro and Nano Photonics, Metamaterials, Semiconductor Lasers,
Solid-State Lasers, Light Emitting Diodes, Semiconductor Materials, Signal
Processing
Research Laboratories







Center for Optimization and Semantic Control (COSC)
Center for Security Technologies (CST)
Center for Sensor Signal and Information Processing (CSSIP)
Center for Robotics & Automation
Electronic Systems and Signals Research Laboratory (ESSRL)
Micro/Nano Photonics and Photonic Materials Laboratory
Quantum Control Laboratory
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
125
May 2008
Citation Disclaimer
In the interest of accuracy and full disclosure of data collected in the
Benchmarking Report, the development team has excerpted data from the
websites of the institutions under review in the Final Evaluation Phase.
Hyperlinks to the websites for cross referencing purposes have been
embedded in the MS Word and PDF documents. The information cited reflects
the content of the respected websites at the time the research was conducted
and the links may not be correct and/or may now reflect revisions or updates by
the institutions.
The SEP DT Benchmarking Team invites comments and or questions
from reviewers of this report.
SMU SEP Benchmarking Team
126
May 2008
Appendix B – Research SE Programs Data
The data gathered during the Research SE Programs step is shown in the
following pages.
SMU SEP Benchmarking Team
127
May 2008
School Name
SE Program
RVW Status
State/Other
School URL
Location
Reviewer
Date
Reviewed
Engineering
Department/School/Pr
ogram
URL
Systems
Engineering/Systems of
Systems/Engineering
Systems/etc. Offered
URL
Doctoral Degrees Offered in
SE/ES/SOS
URL
Master Degrees
Offered in
SE/ES/SOS
URL
Bachelor Degrees
Offered in SE/ES/SOS
URL
Continuing
Education
URL
Certificates
URL
Center/Lab/Institute/C
onsortium
URL
Anything Else
URL
DoE in Systems Engineering
(Proposed)
DoE in Engineering Management,
M.S. Degree with Major in
Systems Engineering Track (Proposed)
Systems Engineering
http://engr.smu.edu/emis/s
http://engr.smu.edu/depa PhD in Applied Science with Major in
http://engr.smu.edu/emis/sys/pove Excutive Masters Degree in ys/poverview/academic.ht B. S. in Systems Engineering
rtments/emis/index.html Systems Engineering
rview/academic.htm
Systems Engineering
m
(Proposed)
Non-degree
http://engr.smu.edu/em Studies in
is/sys/poverview/acade Systems
mic.htm
Engineering
http://engr.smu.edu/emi
s/sys/poverview/acade Certificate Series in
mic.htm
Systems Engineering
http://engr.smu.edu/emis/sy
s/poverview/academic.htm None found on website
N/A
Systems Engineering Training
'http://engr.smu.edu/emis/sys/pover
view/training.htm
Systems Engineering Advisory
Council and Development Team
http://engr.smu.edu/~jerrells/news/s
e_ac_dt_update.html
Tim Woods
2/17/2007 School of Engineering
Maine
Dallas, Texas
Lewiston/Portland,
www.andovercollege.edu Maine
http://engr.smu.edu/ab Engineering Management,
out/
Information & Systems
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Maine
www.bts.edu
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Complete
Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Beal College
Complete
Maine
www.bates.edu
Lewiston, Maine
http://www.bealcollege.e
du/
Bangor, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
6
Bowdoin College
Complete
Maine
http://www.bowdoin.edu/ Brunswick, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
7
Central Maine Community College
Complete
Maine
www.cmcc.edu
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
8
Colby College
Complete
Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
9
College of the Atlantic
Complete
Maine
http://www.colby.edu/
Waterville, Maine
http://www.coa.edu/html/
home.htm
Barharbor, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
10
Eastern Maine Community College
Complete
Maine
www.emcc.edu
Bangor, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Engineering Technology
N/A
11
Husson College
Complete
Maine
http://www.husson.edu/
Bangor, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
12
Kennebec Valley Technical College
Complete
Maine
http://www.kvcc.me.edu/ Fairfield, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
13
Maine College of Art
Complete
Maine
http://www.meca.edu/
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
1
Southern Methodist University
Complete
Texas
2
Andover College
Complete
3
Bangor Theological Seminary
Complete
4
Bates College
5
www.smu.edu
Bangor/Portland, Maine
Auburn, Maine
Portlane, Maine
N/A
14
Maine Maritime Academy
Complete
Maine
www.mainemaritime.edu Castine, Maine
Tim Woods
2/26/2007 Department of Engineering
www.mainemaritime.ed
u/academics/index.php
?c1=Academics&c2=E
ngineering
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
15
Northern Maine Community College Complete
Maine
www.nmcc.edu
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
16
Southern Maine Community College Complete
Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
17
The Landing School
Complete
Maine
http://www.smccme.edu/ South Portland, Maine
http://www.landingschool
.org/
Arundel, Maine
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
18
Thomas College
Complete
Maine
http://www.thomas.edu/
Tim Woods
2/26/2007 None
N/A
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Tim Woods
Department of Spatial
Information Science and
2/26/2007 Engineering.
http://www.umaine.edu/
about/academicprogra
ms/engineering.htm
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.usm.maine.
edu/aset/
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
19
University of Maine
Complete
Maine
http://www.umaine.edu
Presque Isle, Maine
Waterville, Maine
Orono, Maine
20
University of Southern Maine
Complete
Maine
www.usm.maine.edu
Portlane, Maine
Tim Woods
School of Applied
Science, Engineering, and
2/26/2007 Technology
21
Washington Community College
Complete
Maine
http://www.wccc.me.edu/ Eastport, Maine
Tim Woods
2/26/2007 None
22
Michigan Technological University
Complete
Michigan
http://www.mtu.edu/
Tim Woods
3/25/2007 College of Engineering
Houghton, Michigan
N/A
None
http://www.doe.mtu.edu
/
None
http://eng.auburn.edu/prog
rams/insy/programs/grad/d
egrees.html
23
Auburn University
Complete
Alabama
http://www.auburn.edu
Aurburn, Alabama
Terry Riley, Tim
Woods
2/27/2007 College of Engineering
http://www.eng.auburn.
edu/programs
Industrial &Systems Engineering
http://eng.auburn.edu//pr PhD in Applied Science with Major in
ograms/insy/
Industrial & Systems Engineering
24
25
26
University of Arizona
University of Arkansas - Little Rock
Complete
Complete
Complete
Alabama
Arizona
Arkansas
http://www.uah.edu/main/
colleges/colleges.php
Huntsville, AL
http://www.arizona.edu/
www.ualr.edu
Tucson, AZ
Little Rock, AR
Terry Riley
Terry Riley
Terry Riley
2/28/2007 College of Engineering
2/28/2007 College of Engineering
Donaghey College of
Information Science and
3/1/2007 Systems Engineering
http://technologize.ualr.
edu/
Systems Engineering
www.usc.edu
Los Angeles, CA
Terry Riley
28
California State University - Long
Beach
Complete
California
http://www.csulb.edu/
Long Beach, CA
Terry Riley
3/1/2007 College of Engineering
30
San Jose State University
Complete
California
www.sjsu.edu
Los Angeles, CA
San Jose, CA
Terry Riley
Terry Riley
Seaver College of Science
3/1/2007 and Engineering
3/1/2007 College of Engineering
ISE Labs
http://eng.auburn.
edu/programs/insy
/research/labs/ind
ex.html
Outreach Education
http://eng.auburn.edu/programs/ins
y/research/index.html
Bachelor of Science in
http://www.iseem.uah.edu/ Engineering (Industrial and
graduate/index.shtml
Systems Engineering)
http://www.iseem.uah.e
du/undergraduate/inde
x.shtml
N/A
N/A
N/A
N/A
N/A
N/A
PhD Progress Policy
http://www.engdl.uah.edu/iseem/gra
duate/AcceptablePhDProgressPolic
yProposal.doc
http://www.sie.arizona.edu/
programs/ghndbk.htm#_To BSSE - Bachelor's of Science in
c507817920
Systems Engineering
http://www.sie.arizona.
edu/programs/BSSE.ht
ml
N/A
N/A
Professional Graduate
Certificate in Systems
Engineering through UA
Extended University
Distance Learning
http://www.sie.arizona.edu/
programs/ghndbk.htm
N/A
N/A
N/A
N/A
N/A
Graduate Certificate in
Systems Engineering for
Computer Networks
Wireless Networks
Thermal Power Plants
Airplanes and Spacecraft
Manufacturing Lines
Transportation Systems
http://technologize.ualr.edu/
systemsengineering/wpcontent/themes/cybercolleg
e/assets/pdf/SEC_Brochur
e.pdf
N/A
N/A
N/A
N/A
http://www.usc.ed
u/dept/ise/researc Grad School Requirements
h/researchcenters
.htm
Research
http://www.arizona.edu/ Industrial & Systems Engineering
California
www.lmu.edu
N/A
http://www.sie.arizona.edu/progra Masters of Science in
ms/ghndbk.htm#_Toc507817931 Systems Engineering
Complete
California
N/A
http://www.sie.arizona.ed PhD in Industrial & Systems
u/
Engineering
University of Southern California
Complete
N/A
PhD in Engineering Management
http://www.engdl.uah.ed
u/iseem
PhD in Industrial Engineering
27
Loyola Marymount University
http://eng.auburn.edu//f
iles/file691.pdf
N/A
Industrial Engineering & Systems
http://www.iseem.uah.e Engineering & Engineering
du/index.shtml
Management
http://www.usc.edu/dep
t/publications/cat2006/s Daniel J. Epstein Department of
3/1/2007 Viterbi School of Engineering chools/engineering/
Industrial and Systems Engineering
29
http://eng.auburn.edu/prog
rams/insy/programs/grad/d Bachelor of Industrial and
egrees.html
Systems Engineering
http://www.engdl.uah.edu/iseem/g
raduate/PHD%20M.S. in Engineering
%20SYSTEMS%20ENGINEERIN (Options: Industrial
G.pdf
Engineering
Systems Engineering
http://www.engdl.uah.edu/iseem/g Engineering Management
raduate/PhD%20Modeling & Simulation
%20Engineering%20Management Concentration
.pdf
Rotorcraft Systems
Engineering
http://www.engdl.uah.edu/iseem/g Missile Systems
raduate/PhD%20Engineering
%20Industrial%20Engineering.pdf
PhD in Systems Engineering
The University of Alabama in
Huntsville
MISE
http://eng.auburn.edu/programs/in
sy/programs/grad/degrees.html
MS
http://www.csulb.edu/c
olleges/coe/
None
http://www.lmu.edu/CM
/WebUI/PageTypes/Ge
neralContent/Page213
04.aspx
Systems Engineering
http://www.engr.sjsu.ed
u/
Industrial and Systems Engineering
http://technologize.ualr.e
du/systemsengineering/ Doctoral Program (Blank Page)
http://technologize.ualr.edu/syste Masters Program (Blank
msengineering/?page_id=40#
Page)
http://www.usc.edu/dept/
publications/cat2006/sch
MS in Industrial and
ools/engineering/industri PhD in Systems Engineering, Industrial http://www.usc.edu/dept/ise/acade Systems Engineering,
al/index.html
Engineering
mics/phdprogram/
Engineering Management.
N/A
None
http://www.lmu.edu/Page
23586.aspx
None
http://info.sjsu.edu/webdbgen/catalog/departme
nts/ISE.html
None
http://technologize.ualr.edu
/systemsengineering/?pag Bachelor of Science degree in
e_id=39
Systems Engineering
http://www.usc.edu/dept/is B.S. in Industrial and Systems
e/academics/graduate/
Engineering
N/A
Certificates in SE
N/A
N/A
N/A
Graduate Certificate in
Systems Engineering
http://www.csulb.edu/divisio
ns/aa/catalog/0607/colleges/coe/programs/ N/A
N/A
N/A
N/A
http://www.lmu.edu/PageF
actory.aspx?PageID=2358
9
None
N/A
N/A
N/A
Quality, Systems
Engineering, Project
Management
http://www.lmu.edu/PageFa
ctory.aspx?PageID=23591 N/A
N/A
N/A
N/A
http://info.sjsu.edu/webdbgen/catalog/department B.S. Industrial and Systems
s/ISE-section-3.html
Engineering
http://info.sjsu.edu/webdbgen/catalog/departm
ents/ISE-section1.html
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Engineering Management(
available online course)
http://msemonline.csudh.e
du/
None
http://www.lmu.edu/Page2
3586.aspx
N/A
M.S. in Systems
Engineering (SE) ,Systems
Engineering Leadership
(SELP), Systems
Engineering (SE) with
Technical Focus
M.S. Industrial & Systems
Engineering
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
128
http://www.usc.edu/dept/publication
s/cat2006/uscgraduate/policies.html
http://www.usc.edu/dep
t/ise/academics/underg
rad/
N/A
http://www.usc.edu/dept/pu
blications/cat2006/schools/
engineering/industrial/degre
e_requirements.html
Centers
N/A
N/A
http://technologize.ualr.
edu/systemsengineerin
g/
N/A
May 2008
N/A
http://www.usc.edu/dept/ise/researc
h/
School Name
31
Stanford University
32
United States Naval Postgraduate
School
33
34
University of California - San Diego
University of the Pacific
SE Program
RVW Status
Complete
Complete
Complete
Complete
State/Other
California
California
California
California
35
Colorado Technical University
Complete
Colorado
36
Colorado State University-Pueblo
Complete
Colorado
37
University of Florida
Complete
38
Arizona State University
39
California Institute of Technology
Industrial Relations Center
40
41
California State University Extension
Complete
- Fullerton
42
43
44
45
46
47
http://www.stanford.edu
www.nps.navy.mil
www.ucsd.edu
http://web.pacific.edu/
http://www.ufl.edu/
Colorado School of Mines
United States Air Force Academy
Embry Riddle Aeronautical
University
University of Central Florida
Complete
Complete
Complete
Complete
Stanford, Ca
Terry Riley
3/15/2007 School of Engineering
http://soe.stanford.edu/
home/index.html
Systems Engineering
Monterey, CA
Terry Riley
Tim Woods
Graduate School of
Engineering & Applied
3/15/2007 Science
http://www.nps.edu/Aca
demics/GSEAS/Naviga
tion/DegreeProg.html Systems Engineering
La Jolla, Ca
Stockton, CA
Gainesville, FL
URL
Doctoral Degrees Offered in
SE/ES/SOS
http://systemsengineerin
g.stanford.edu/
None
http://www.nps.navy.mil/
se/
Soon to Have one
Terry Riley
http://www.jacobsschoo
3/15/2007 Jacobs School of Engineering l.ucsd.edu/
None
N/A
Terry Riley
School of Engineering and
3/15/2007 Computer Science
http://www.pacific.edu/
eng/
Engineering Management
http://www.pacific.edu/en
g/Programs/master-ofengineeringmanagement.html
None
Terry Riley
College of Engineering and
3/15/2007 Computer Science
Terry Riley
3/15/2007 College of Engineering
http://www.ctucolorado
springs.com/degree_pr
ograms/CollegeOf.aspx
?CollegeOfID=4
Systems Engineering
http://ceeps.colostatepueblo.edu/inde/
Industrial and Systems Engineering
http://www.ctucoloradosp
rings.com/degree_progra
ms/DegreeContent.aspx
?DegreeContentID=79 None
http://ceeps.colostatepueblo.edu/inde/
None
Terry Riley
Tim Woods
3/15/2007 College of Engineering
http://www.eng.ufl.edu/ Industrial and Systems Engineering
http://www.fulton.asu.e
du/fulton/
None
http://www.ise.ufl.edu/
None
URL
URL
Bachelor Degrees
Offered in SE/ES/SOS
Continuing
Education
URL
URL
N/A
None
N/A
None
N/A
N/A
N/A
http://www.nps.navy.mil/se/
Master of Science in
Systems Engineering
http://www.nps.navy.mil/se
/MSSE%20%20Basic%20and%20Tra
ck%20Courses%2014%20
Aug%202006.pdf
None
N/A
N/A
N/A
Systems Engineering (SE)
Certificate Program
N/A
http://www.jacobsschool
.ucsd.edu/academic/co
CE in Engineering ntinuing.shtml
N/A
N/A
None
N/A
N/A
MBA in Engineering
Management
http://www.pacific.edu/eng/
Programs/master-ofengineeringmanagement.html
BS in Engineering Management
N/A
None
http://www.ctucoloradospri
ngs.com/degree_programs
/DegreeContent.aspx?Deg
MS in Systems Engineering reeContentID=79
None
MS in Industrial and
Industrial and Systems
Systems Engineering
Engineering
None
Masters of engineering in
Industrial and Systems
http://www.ise.ufl.edu/gcg/phd.asp Engineering
M.S. Degree with area of
study in Systems
Engineering Online study
http://www.ise.ufl.edu/gcg/
masters.asp
http://www.pacific.edu/
eng/Programs/masterof-engineeringmanagement.html
N/A
N/A
N/A
Industrial Engineering
www.asuengineeringonline
.com/online/?page=online_
meng_syse
None
N/A
CE - but none
related to SE
N/A
N/A
http://coned.colostatepueblo.edu/
49
Southern Polytechnic State
University
University of Idaho
Complete
Complete
Iowa State University
Complete
57
58
Oakland University
University of Missouri-Rolla
Washington University
Complete
Complete
Complete
N/A
N/A
N/A
N/A
N/A
Certificate in Systems
Engineering, and Advance
Systems Engineering
http://www.ctucoloradosprin
gs.com/degree_programs/
DegreeContent.aspx?Degr
eeContentID=79
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.ise.ufl.edu/s
tudents/ugradinfo.asp N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None found on website
N/A
N/A
N/A
http://www.irc.caltech.edu/s
ystemsengineering/System
s_Engineering.htm
None found on website
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
M.S. in Electrical
Engineering / Systems
Engineering Option
http://www.fullerton.edu/ec
s/ee/eemasters_02.htm
None
N/A
N/A
N/A
N/A
N/A
None found on website
N/A
N/A
N/A
N/A
Certificate Series in
Systems Engineering
http://www.csufextension.or
g/Classes/Certificate/CertD
etail.asp?GN=3248&GV=2
&LID=
None found on website
N/A
Extension Program of Cal State
Fullerton
N/A
N/A
Certificate Series in
Systems Engineering
http://www.nps.edu/DL/Cert Wayne E. Meyer Institute of
_Progs/se.html
Systems Engineering
http://www.nps.ed
u/Research/Meyer
/
Research
http://www.nps.edu/Research/Meye
r/Content/ResProjects.html
N/A
N/A
N/A
None
California
www.csufextension.org/C
lasses/Certificate/
Fullerton, CA, US
Trevor
Dawn Woods
7/1/2007 None
N/A
California
http://www.nps.edu/Hom
e.aspx
Monterey, CA, US
Trevor
Dawn Woods
Graduate School of
Engineering and Applied
7/1/2007 Science
http://www.nps.edu/Aca
demics/GSEAS/index.h
http://www.nps.navy.mil/
tml
Electrical and Computer Engineering ece/
PhD Proposed in Systems Engineering http://www.nps.navy.mil/se/
NTU College of Engineering
7/1/2007 and Applied Science
http://www.waldenu.ed
u/c/Schools/Schools_1
373.htm
None
On-Line (Maryland)
Colorado
Colorado
Florida
Florida
http://www.waldenu.edu/
c/home.htm
Baltimore, MD
http://www.mines.edu/ind
ex_js.shtml
Golden, Colorado
http://www.usafa.af.mil/in
dex.cfm?catname=AFA Colorado Springs, CO,
%20Homepage
US
Trevor
Dawn Woods
Trevor
Dan Flis
Trevor
Tim Woods
Dan Flis
http://www.erau.edu/inde
Trevor
x.html
Daytona Beach, FL, US Dan Flis
http://www.ucf.edu/
Georgia
Orlando, FL, US
Idaho
http://www.spsu.edu/inde
x.html
Marietta, GA, US
http://www.if.uidaho.edu/ Idaho Falls, ID, US
Iowa
www.imse.iastate.edu
Maryland
Massachusetts
Michigan
Michigan
Missouri
Missouri
www.jhu.edu
http://mit.edu/
Trevor
Dan Flis
Provides Civil, Electrial,
Environmental and
Mechanical Engineering for
6/24/2007 Undergrade
None
N/A
N/A
None
6/24/2007 Interdisciplinary Majors
http://www.usafa.af.mil/
index.cfm?catname=D
ean%20of%20Faculty Systems Engineering
http://www.usafa.af.mil/d
f/dfsem/index.cfm?catna
me=dean%20of%20facul
ty
None
Almost all forms of
engineering degrees offered,
but no direct Systems
Engineering degree in any
6/24/2007 form
http://www.erau.edu/er/
degrees/index.html
None offered
N/A
College of Engineering and
6/24/2007 Computer Science
N/A
None
http://egweb.mines.edu Through the ME program, provides a
/
MS and PhD in Systems Engineering http://egweb.mines.edu/ Ph.D. in Engineering Systems
http://www.cecs.ucf.ed Industrial Engineering and
u/
Management Systems
Trevor
Dan Flis
http://www.spsu.edu/ho
School of Engineering
me/academics/enginee Department of Insutrial Engineering
6/24/2007 Technology and Management. ring.html
Technology
Trevor
Dan Flis
Can not find a degree track that
includes Systems Engineering. The
web site on the left side has active
links for all of the engineering fields,
but when I click on the Systems
Engineering field, nothing happens.
Looks that the only Systems
http://www.if.uidaho.ed Engineering programs are in the
u/engineering.htm
College of Graduate Studies.
Ames, IA, US
Trevor
Aimee Burnett
Trevor
Aimee Burnett
Baltimore, MD, US
Trevor
Aimee Burnett
Cambridge, MA, US
Trevor
Tim Woods
Aimee Burnett
Trevor
Tim Woods
Aimee Burnett
http://www4.oakland.edu/ Rochester, MI, US
Trevor, Tim
Woods
Bret Early
http://www.umr.edu/
http://www.wustl.edu/
Stevens Institute of Technology
Complete
New Jersey
Rochester Institute of Technology
Complete
New York
http://www.rit.edu/
New York
Baltimore, MD 21250
www.engin.umd.umich.e
du/IMSE/
Dearborn, Michigan
60
Complete
N/A
None
59
Cornell University
N/A
http://www.fullerton.edu
/ecs
None
http://www.stevens.edu/
main/home/
61
N/A
N/A
http://www.umbc.edu/
56
N/A
7/1/2007 College of Engineering
Maryland
Complete
N/A
7/1/2007 None
Complete
University of Michigan-Dearborn
N/A
Trevor
Dawn Woods
University of Maryland, Baltimore
County
55
http://www.nps.navy.mil/se/researc
h.htm
Fullerton, CA, US
52
Complete
Resident and Non-Resident
Programs
http://www.nps.na
vy.mil/se/labs.htm Research
Pasadena, CA, US
Maryland
54
http://www.nps.edu/DL/Cert
_Progs/se.html
Labs
http://www.fullerton.edu
Complete
Massachusetts Institute of
Technology
URL
N/A
California
University of Maryland
Complete
Anything Else
N/A
California
51
Johns Hopkins University
URL
N/A
Certificate Series in
Systems Engineering
http://www.gradschool.u
md.edu/catalog/program College Park, Maryland, Trevor
s/ENSE.html
US
Aimee Burnett
53
Center/Lab/Institute/C
onsortium
Trevor
Dawn Woods
7/1/2007 School of Engineering
None
http://www.iems.ucf.edu/ None
N/A
N/A
None
N/A
M.S. in Systems
Engineering
www.nps.edu/Academics/
Navigation/GSEAS.html
None
N/A
M.S. in Systems
Engineering
http://www.waldenu.edu/c/
Schools/Schools_1373.ht
m
None
N/A
N/A
N/A
Certificate Series in
Systems Engineering
http://www.waldenu.edu/c/S
chools/Schools_7692.htm Partnerships and Affiliations
http://www.walden
u.edu/c/Schools/S NTU merged with Walden
chools_10253.htm University
http://egweb.mines.edu/
Through the ME program,
provides a MS in Systems
Engineering
http://egweb.mines.edu/
None
N/A
None detailed
N/A
None detailed
N/A
None detailed
N/A
N/A
N/A
N/A
None detailed
N/A
None detailed
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
There are currently several
research projects in progress
at the Industrial Engineering http://www.iems.u
and Management Systems
cf.edu/about/rese
department.
arch.htm
N/A
N/A
None
N/A
N/A
N/A
N/A
None
N/A
Offers both a BS in Systems
Engineering and Systems
Engineering Management
http://www.usafa.af.mil/
df/dfsem/curriculum_S
E.cfm?catname=dean None detailed on
%20of%20faculty
web site
N/A
None
N/A
None
N/A
N/A
M.S. in Systems
Engineering and
Management
http://graduate.ucf.edu/curr
entGradCatalog/content/D
egrees/ACAD_PROG_79.c
fm#INEMS
None
N/A
N/A
N/A
N/A
N/A
N/A
http://oce.spsu.edu/progra
ms/certificates/certificates.
htm
N/A
N/A
N/A
N/A
6/24/2007 College of Engineering
None
N/A
http://www.spsu.edu/mssy
e/
None
N/A
Office of
Continuing
Education
http://oce.spsu.edu/
Certificate in Engineering
Sales, Certificate in
Logistics, Certificate in
Production Design,
Certificate in Quality
Principles in IET
http://www.if.uidaho.edu/
engineering.htm#sys
None
N/A
College of Graduate Studies
has a Systems
Management. M. Sc. In
http://www.grad.uidaho.ed
Interdisciplinary Studies
u/default.aspx?pid=85827 None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.imse.iastate.edu/acade
mics_new/majors-andprograms/doctor-of-philosophy-in- M.S. in Industrial
industrial-engineering-phd-ie.html Engineering
http://www.imse.iastate.ed
u/academics_new/majorsand-programs/master-ofscience-in-industrialengineering-ms-ie-copy1.html
None
N/A
None
N/A
None
None
N/A
N/A
Following is the URL to the
research publications
http://www.imse.iastate.edu/researc
h/research-projects.html
http://www.isr.umd.edu/stu
dents/MSSE.htm
None
N/A
None
N/A
None
None
N/A
N/A
They don't offer a PhD but do offer
postdoctoral research
http://www.isr.umd.edu/research/po
stdoctoral_program.htm
N/A
None
N/A
Graduate Certificate in SE
http://www.cps.umbc.edu/a
ps/Graduate_Certificate_in
_SE.asp?SnID=129983196
1
N/A
N/A
SE Advisory Panel
http://www.cps.umbc.edu/aps/Advis
ory_Panel1.asp?SnID=1299831961
N/A
Post-Masters
Studies in
Systems
Engineering
http://www.epp.jhu.edu/
pdfs/flyers/advancedcertificate-post-masters- Advanced Certificate for
study-systemsPost-Masters Studies in
engin.pdf
Systems Engineering
http://www.epp.jhu.edu/pdfs
/flyers/advanced-certificatepost-masters-studysystems-engin.pdf
N/A
N/A
Program Details
http://catalog.epp.jhu.edu/preview_
program.php?catoid=9&poid=193
N/A
MIT Professional
Education
http://web.mit.edu/mitpe Professional Education
p/compare.html
Certificates
http://web.mit.edu/mitpep/c
ompare.html
Research Labs
http://esd.mit.edu/
research.html
Engineering Systems Symposium
http://esd.mit.edu/resources/sympo
sium2004.html
N/A
Several Labs
http://www.engin.u
md.umich.edu/IM
SE/research/labs.
html
Advisory Board
http://www.engin.umd.umich.edu/IM
SE/misc/advisory.html
N/A
N/A
Master of Science in
Systems Engineering.
http://iet.spsu.edu/
College of Engineering
50
URL
http://systemsengineering.s
tanford.edu/overview.asp
N/A
Center for Applied
Optimization (CAO), Industrial
Assessment Center (IAC),
Risk Management and
Integrated Product and Process
Financial Engineering Lab
Design Program
(RMFE), Supply Chain And
http://www.ippd.ufl.edu/
Logistics Engineering Center http://www.ise.ufl. Outreach Engineering Management
(SCALE)
edu/gcg/index.asp master's degree program (OEM)
http://www.ise.ufl.edu/oemp/
MS in Systems Engineering
with a Civil Concentration
48
Certificates
Systems Engineering
(Removed from portfolio)
N/A
Ph.D in Industrial and Systems
Engineering
Master Degrees
Offered in
SE/ES/SOS
http://www.irc.caltech.ed
u/index.htm
Complete
Complete
URL
Systems
Engineering/Systems of
Systems/Engineering
Systems/etc. Offered
Trevor
Dawn Woods
California State University - Fullerton Complete
National Technological University
Corp.
Reviewer
Engineering
Department/School/Pr
ogram
Tempe, AZ, US
http://www.asu.edu
Complete
Location
http://cs.coloradotech.ed
u
Colorado Springs, CO
http://www.colostatepueblo.edu
Pueblo, CO
Arizona
Naval Postgraduate School
Complete
Florida
School URL
Date
Reviewed
http://www.cornell.edu/
Rolla, MO, US
St. Louis, MO, US
Trevor
Bret Early
Trevor
Bret Early
5/18/2007
http://www.engineering. Department of Industrial and
iastate.edu/
Manufacturing Systems Engineering
http://www.imse.iastate.e
du/
Ph. D. in Industrial Engineering
A. James Clark School of
5/30/2007 Engineering
http://www.engr.umd.e
du/
The Institute for Systems Research
http://www.isr.umd.edu/s
tudents/MSSE.htm
None
N/A
M.S. in Systems
Engineering
College of Engineering and
5/30/2007 Information Technology
http://www.umbc.edu/e
ngineering/
Systems Engineering
http://www.cps.umbc.edu
/aps/Systems_Engineeri
ng4.asp
None
N/A
M.S. in EE, CS, or EM with
a specialty in Systems
http://www.cps.umbc.edu/a
Engineering. A full Masters ps/Systems_Engineering4.
in SE is pending approval. asp
None
http://engineering.jhu.e Engineering and Applied Science
6/1/2007 Whiting School of Engineering du/
Program for Professionals
http://web.mit.edu/engi MIT's Engineering Systems Division
neering/
6/1/2007 School of Engineering
School of Engineering and
5/19/2007 Computer Science
Department of Electrical and
5/19/2007 Computer Engineering
Department of Electrical and
5/19/2007 Systems Engineering
http://www2.oakland.ed Department of Electrical and
u/secs/
Computer Engineering
http://ece.umr.edu/
www.ese.wustl.edu
Department of Electrical and
Computer Engineering
Hoboken, NJ, US
Charles V. Schaefer Jr.,
5/19/2007 School of Engineering
Rochester, NY, US
Trevor
Bret Early
RIT's Kate Gleason College of http://www.rit.edu/~630 RIT's Kate Gleason College of
5/19/2007 Engineering
www/
Engineering
Trevor
Bret Early
5/19/2007 College of Engineering
http://esd.mit.edu/
http://esd.mit.edu/academic/phd.h S.M. in Engineering
tml
Systems
http://www.stevens.edu Systems Engineering and
/engineering/index.php Engineering Management
http://www.engineering.
cornell.edu/
College of Engineering
Ph.D. in Engineering Systems
N/A
None
M.S.E in Industrial &
Systems Engineering
http://esd.mit.edu/academi
c/ms.html
None
http://www.engin.umd.umic B.S.E. in Industrial & Systems
h.edu/IMSE/grad/
Engineering
http://www.engin.umd.
umich.edu/IMSE/under
grad/ise.html
N/A
http://www2.oakland.ed
u/secs/ISEdept/aboutu
s.htm
N/A
N/A
N/A
N/A
Laboratories in Industrial and
Systems Engineering
N/A
N/A
http://ece.secs.oakland.e Ph.D. in Systems Engineering du/index.htm
Discipline Specializations
http://ece.secs.oakland.edu/Gradu M.S. in Systems
ate_Program/default.htm
Engineering
Bachelor of Science in
http://www2.oakland.edu/s Engineering, with major in
ecs/prostudg.htm
Systems Engineering
http://ece.umr.edu/gradu
atedegreeprograms/grad
electricalengineering.htm
l
None
N/A
N/A
Department of Electrical and Systems
Engineering
www.ese.wustl.edu
Trevor
Bret Early
Ithaca, New York, US
N/A
http://www.engin.umich Industrial and Manufacturing Systems http://www.engin.umd.u
.edu/
Engineering
mich.edu/IMSE/
6/20/2007 College of Engineering
http://www.epp.jhu.edu/gra
duate-degreeprograms/systemsMS in Systems Engineering engineering
None
http://www.epp.jhu.edu/a
bout-us
None
None
Master of Science in
Doctor of Science in Systems Science http://www.ese.wustl.edu/Academi Systems Science and
and Mathematics
cs/DScSSM.asp
Mathematics
None
http://www.ese.wustl.edu/A B.S. in Systems Science and
cademics/MSSSM.asp
Engineering
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Systems, Intelligence, Software
Engineering
http://ece.umr.edu/graduatedegreep
rograms/gradelectricalengineering.h
tml
http://www.ese.wustl.e
du/Academics/BSSSE.
asp
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Doctoral Programs in Systems
http://www.stevens.edu/e Engineering and in Engineering
ngineering/seem/
Management
http://www.stevens.edu/engineerin M.E. in Systems
g/seem/Grad/#MD
Engineering
http://www.stevens.edu/en
http://www.stevens.edu
gineering/seem/Grad/#MD B.S. in Engineering Management /engineering/seem/UG/ N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.rit.edu/~630w
ww/
None
N/A
None
N/A
http://www.rit.edu/~633
www/undergrad/bsise.h
tm
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
M.E in Engineering with
Minor in Systems
Engineering
http://www.engineering
.cornell.edu/programs/
http://www.orie.cornell.edu/
departmentsorie/academics/meng/prog
schools/operationsramdescription/options/ind Information Science, Systems and research-informationex.cfm
Technology
engineering/index.cfm N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.engineering.c
ornell.edu/
None
N/A
B.S. Industrial & Systems
Engineering
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
129
May 2008
School Name
SE Program
RVW Status
State/Other
School URL
Location
Reviewer
Date
Reviewed
Engineering
Department/School/Pr
ogram
URL
Systems
Engineering/Systems of
Systems/Engineering
Systems/etc. Offered
URL
Doctoral Degrees Offered in
SE/ES/SOS
URL
Master Degrees
Offered in
SE/ES/SOS
URL
Bachelor Degrees
Offered in SE/ES/SOS
URL
Continuing
Education
URL
Certificates
URL
Center/Lab/Institute/C
onsortium
URL
Anything Else
URL
http://www.afit.edu
/cse/
62
63
64
65
66
67
Air Force Institute of Technology
Ohio State University
Ohio University
Portland State University
University of Pennsylvania
Complete
Complete
Complete
Complete
Complete
Penn State University at Great Valley Complete
Ohio
Ohio
Ohio
Oregon
Pennsylvania
Pennsylvania
http://www.afit.edu
http://www.osu.edu/
http://www.ohio.edu/
http://www.pdx.edu/
http://www.upenn.edu/
http://www.gv.psu.edu/
Dayton, Ohio, US
Trevor
Dawn Woods
http://www.afit.edu/en/e Department of Systems and
nv/
Engineering Management
http://www.afit.edu/en/en
v/
None
N/A
M.S. in Systems
Engineering
http://www.afit.edu/cse/doc
s/edu/GSE.pdf
None
N/A
Columbus, OH, US
Trevor
Dawn Woods
7/2/2007 College of Engineering
http://www.eng.ohiostate.edu/
Ph.D. in Industrial and Systems
http://www.iwse.osu.edu/ Engineering
http://www-iwse.eng.ohiostate.edu/index.cfm
M.S. in Industrial
Engineering with
concentration in Systems
http://www-iwse.eng.ohio- B.S. in Industrial and Systems
state.edu/index.cfm
Engineering
http://www.eng.ohiostate.edu/academic/de
greeprograms/ISE.php N/A
Athens, OH, US
Trevor
Dawn Woods
College of Engineering and
7/2/2007 Technology
http://www.ohio.edu/en
gineering/index.cfm
Industrial and Systems Engineering
Integrated PhD Program combining
http://www.ohio.edu/indu Civil, Industrial and Mechanical
strial/
Engineering
http://www.ohio.edu/engineering/in M.S in Industrial Systems
tegrated/index.cfm
Engineering
http://www.ohio.edu/industr B.S. in Industrial Systems
ial/graduate/ise/index.cfm Engineering
http://www.ohio.edu/ind
ustrial/undergrad/index
.cfm
N/A
Portland, OR, US
Trevor
Dawn Woods
Philadelphia, PA, US
Trevor
Dawn Woods
Malvern, PA, US
Trevor
Dawn Woods
68
University of Houston
Complete
Texas
http://www.egr.uh.edu/ac
ademics/?e=undergrad Houston, TX, US
Trevor
69
Texas Tech University
Complete
Texas
http://aln.coe.ttu.edu/Deg
rees/degrees.php
Lubbock, TX, US
Trevor
Dan Flis
70
University of Houston - Clear Lake
Complete
Texas
http://prtl.uhcl.edu/portal/
page?_pageid=328,1,32
8_216933&_dad=portal&
_schema=PORTALP
Houston, TX, US
71
University of Texas at Arlington
Complete
Texas
http://www.uta.edu/
72
73
74
75
76
77
78
79
80
81
82
83
84
University of Virginia
Virginia Polytechnic and State
University
George Mason University
George Washington University
Old Dominion University
Case Western Reserve University
Rensselaer Polytechnic Institute
State University of NY at
Binghamton
United States Military Academy
United States Naval Academy
Virginia Tech (Same as Virginia
Polytechnic Univ)
Wright State University
Complete
Complete
Complete
Complete
Complete
Complete
Complete
Complete
Complete
Virgina
Virgina
Virgina
Washington, DC
Virgina
Ohio
New York
New York
New York
Complete
Maryland
Deleted
Virgina
Complete
Complete
85
Youngstown State University
Arlington State University (Cannot
find university may be UT
Arlington?)
86
Boston University
Complete
Ohio
http://www.virginia.edu/
http://www.vt.edu/
http://www.gmu.edu/
Arlington, TX, US
Charlottesville, VA, US
Blacksburg, VA, US
Fairfax, VA, US
http://www.gwu.edu/inde
x.cfm
Washington, DC, US
http://www.odu.edu/
http://www.case.edu/
http://www.rpi.edu/
Norfolk, VA, US
Cleveland, Ohio
Troy, New York
Trevor
Dan Flis
Trevor
Dan Flis
Trevor
Dan Flis
Trevor
Dan Flis
Trevor
Tim Woods
Trevor
Tim Woods
Trevor
Tim Woods
Trevor
Tim Woods
Trevor
Tim Woods
http://www.binghamton.e
du/
Binghamton, New Y\ork Tim Woods
http://www.usma.edu/
http://www.usna.edu/
http://www.wright.edu/
System
Engineering
Continuing
Education
7/2/2007 School
West Point, NewYork
Annapolis, Maryland
Richard
McFarland
Richard
McFarland
Industrial, Welding and Systems
Engineering
College of Engineering and
7/9/2007 Computer Science
http://www.pdx.edu/cec
s/
Systems Engineering
7/9/2007 School of Engineering
http://www.seas.upenn. Department of Electrical and Systems http://www.ese.upenn.ed Ph.D. in Electrical and Systems
edu/
Engineering
u/index.html
Engineering
7/9/2007 Division
http://gv.psu.edu/Prosp
ective_Students/
Systems Engineering
http://www.eas.pdx.edu/
Systems/
None
N/A
http://gv.psu.edu/Prospe
ctive_Students/
None
School of Science and
6/10/2007 Computer Engineering
6/10/2007 College of Engineering
School of Engineering and
6/10/2007 Applied Science
6/10/2007 College of Engineering
The Volgenau School of
Information Technology and
7/1/2007 Engineering
School of Engineering and
7/1/2007 Applied Science
Frank Batten College of
7/1/2007 Engineering & Technology
7/1/2007 Case School of Engineering
7/1/2007 School of Engineering
School of Engineering and
7/1/2007 Applied Science
http://www.depts.ttu.ed
u/officialpublications/ca
talog/Engineering.html BS in Industrial Engineering
http://prtl.uhcl.edu/pls/p
ortal/url/page/SCE/EN
GINEERING/SYSTEM
S_ENGINEERINGMS MS in SE
http://www.uta.edu/engi
neering/
Industrial Engineering
Departement of Systems and
http://www.virginia.edu/ Industrial Engineering
http://www.eng.vt.edu/
main/index.php
Industrial and Systems Engineering
http://volgenau.ite.gmu.
edu/graduates/master_
of_science_degrees.ph Department of Systems Engineering
p
and Operations Research
http://www.seas.gwu.e Engineering Management and
du/
Systems Engineering
http://www.ese.upenn.edu/grad/ph M.S.E. in Systems
d.html
Engineering
M.S.E. in Systems
Engineering
N/A
For Ph.D. degree only, graduate
students must select an area of
concentration from among the
following: Engineering Management,
The College of Engineering offers the
Manufacturing and Production
Bachelor of Science, Master of
Systems, Operations Research,
Science, and the Doctor of
Distribution & Logistics and
Philosophy degrees in industrial
http://www.egr.uh.edu/IE Ergonomics/Human
6/7/2007 Cullen College of Engineering http://www.egr.uh.edu/ engineering.
/
Factors/Occupational Safety
6/10/2007 College of Engineering
M.E. Systems Engineering
http://www.depts.ttu.edu/
officialpublications/catalo Doctor of Philosophy in Systems and
g/EINDUSTRIAL.html
Engineering Management
http://sce.cl.uh.edu/seng/ None
http://ie.uta.edu/index.cf
m
None
Yes
http://www.ese.upenn.edu/ B.S. in Engineering (Electrical and http://www.ese.upenn.
grad/mse.html
System's Science)
edu/ugrad/bse.html
N/A
http://gv.psu.edu/Prospecti
ve_Students/
None
Information
Sessions on
Systems
Engineering
N/A
N/A
N/A
N/A
N/A
N/A
Robe Leadership Institute
http://www.ohio.ed Graduate Education and Research
u/engineering/rli/ Board
http://www.ohio.edu/graduate/gerb.
cfm
An anywhere, anytime, distancelearning environment: All Systems
Engineering required courses and
several elective courses are
available online. All SYSE
scheduled courses were designed
to use PSU's course management
system, WebCT. Courses in
collaborating programs, Engineering
and Technology Management and
System Science, use a combination
of WebCT, video streaming and
email for distance-students. Despite
the online nature of the program,
students do not lose out on the
valuable peer and professor
interaction that graduate level
classes provide.
N/A
http://www.eas.pdx.edu/
Systems/program/certif Graduate Certificate in
s.php
Systems Engineering
http://www.eas.pdx.edu/Sys
tems/program/certifs.php
None found on website
N/A
N/A
N/A
http://www.ese.up
enn.edu/facilities.
html
Research
http://www.ese.upenn.edu/rsch/inde
x.html
http://gv.psu.edu/
Prospective_Stud
ents/
N/A
N/A
N/A
Research Facilities
Yes, in a variety of
http://gv.psu.edu/search engineering fields, not
http://gv.psu.edu/search_ps Engineering Research
_psgv.asp
necessarly systems specific gv.asp
Institute
N/A
Could not locate if there are
any.
N/A
http://www.depts.ttu.edu/officialpu
blications/catalog/EINDUSTRIAL. M.S. in Manufacturing
html#IEGrad
Systems and Engineering
N/A
Could not locate if there are
any.
N/A
Could not locate if there are
any.
N/A
N/A
Research at UTA, but none
tied to SE
N/A
N/A
http://www.uta.ed
u/research/
N/A
Master of Science in
Systems Engineering
Master of Science in
Systems Engineering
http://www.sys.virginia.edu/studen M.S. in Systems
ts/grad_degrees.html
Engineering
http://www.ise.vt.edu/graduate/ph MS in Industrial and
d.php
Systems Engineering
http://www.depts.ttu.edu/of
ficialpublications/catalog/EI Multiple engineering programs,
NDUSTRIAL.html#IEGrad but no BS for SE
http://www.depts.ttu.ed
u/officialpublications/ca
talog/Engineering.html N/A
http://prtl.uhcl.edu/portal/p
age?_pageid=355,107004
4&_dad=portal&_schema= School of Science and Computer
PORTALP
Engineering
No BS in SE, only in Industrial
Engineering
http://prtl.uhcl.edu/port
al/page?_pageid=355,
1&_dad=portal&_sche
ma=PORTALP
Research Center
http://ie.uta.edu/index.c
fm
N/A
http://www.sys.virginia.edu
/students/grad_degrees.ht
ml
B.S. in Systems Engineering
http://www.sys.virginia.
edu/students/undergra
duate.html
N/A
http://www.ise.vt.edu/gradu BS in Instrial and Systems
ate/ms.php
Engineering
http://www.ise.vt.edu/fu
turestudents/undergrad
uate.php
N/A
http://www.gmu.edu/depart
ments/seor/msse/overview
.html
B.S. in Systems Engineering
http://www.gmu.edu/de
partments/seor/bsse/b
sse.html
N/A
http://sce.cl.uh.edu/sen
g/
N/A
N/A
N/A
N/A
N/A
Research Opportunities
Cognitive Systems Engineering
Educational Software (CSEES)
N/A
N/A
N/A
N/A
N/A
N/A
Research
Research Projects
http://www.ise.vt.e
du/projects/index.
php
N/A
N/A
N/A
Certificates in SE
http://www.gmu.edu/depart
ments/seor/certs.html
N/A
The Department of
Engineering Management
and Systems Engineering
offers graduate certificate
programs in several fields.
The Engineering Management
and Systems Engineering
Department has seven areas
of focus that represent the
http://www.emse.g
http://www.emse.gwu.edu/g department's teaching and
wu.edu/focus/focu
rad/grad_gc.html
research interests.
s.html
N/A
http://www.egr.uh.edu/ie/people/?e=
students
http://www.depts.ttu.edu/officialpubli
cations/catalog/GRADResearch.ht
ml
N/A
N/A
http://cog.sys.virginia.edu/csees/
http://www.sys.virginia.edu/research
/index.html
N/A
http://www.gmu.edu/departments/s
eor/research.html
http://www.gmu.edu/dep Ph.D. in Information Technology with
http://www.gmu.edu/departments/ M.S. in Systems
artments/seor/about.html Concentration in Systems Engineering seor/phd/systphd.html
Engineering
http://www.emse.gwu.ed
u/focus/focus_se.html
Doctor of Science
http://www.emse.gwu.edu/grad/gr
ad_dsc.html
Master of Science
Master of Engineering
(M.E.) program in Systems
Engineering
http://www.emse.gwu.edu/ Bachelor of Science degree in
grad/grad_msc.html
Systems Engineering
http://eng.odu.edu/enma/a
cademics/systemsengr.sht
ml
None
http://www.emse.gwu.e
du/under/under.html
N/A
N/A
N/A
http://www.eng.odu.edu Department of Engineering
/enma/academics/abou Management and Systems
t.shtml
Engineering
http://eng.odu.edu/enma/ None
N/A
http://www.engineering.
case.edu/
Systems and Control
http://www.eecs.case.ed
u/academics/undergradu
ate/sc_program_descript Ph.D. in Systems and Control
ion
Engineering
http://www.eecs.case.edu/
http://www.eecs.case.edu/academ
academics/graduate/home
ics/graduate/home#systems_and_ M.S. in Systems and Control #systems_and_control_en B.S. in Systems and Control
control_engineering
Engineering
gineering
Engineering
http://www.eecs.case.e
du/academics/undergr
aduate/sc_program_de
scription
N/A
N/A
http://www.eng.rpi.edu/s Doctor of Philosophy (PhD) and the
oe/academics_departme Doctor of Engineering (DEng) in
nt.cfm?deptID=ECSE
Computer & Systems
Master of Engineering and
Master of Science degrees
http://www.ecse.rpi.edu/academic in Electrical Engineering and http://www.ecse.rpi.edu/ac Bachelor of Science degree in
s/doctorate/doctorateprogram.htm in Computer and Systems
ademics/masters/mastersp computer and systems
l
Engineering
rogram.html
engineering
http://www.ecse.rpi.edu
/academics_ug.html
N/A
N/A
http://www.eng.rpi.edu/ Department of Electrical, Computer,
soe/
& Systems Engineering
N/A
http://iwse.osu.ed
u/research_labs.cf
m
N/A
The College of Engineering offers
Master's Degree Program in http://www.egr.uh.edu/ie/gr the Bachelor of Science degrees http://www.egr.uh.edu/i
http://www.egr.uh.edu/ie/graduate/ Industrial Engineering (MIE) aduate/?e=programs#mie in industrial engineering.
e/undergraduate/
N/A
N/A
http://www.ise.vt.edu/mai PD in Industrial and Systems
n/index.php
Engineering
N/A
N/A
http://www.afit.edu/cse/index.cfm
Laboratories, Centers and
Institutes
Design & Free Form
Fabrication Laboratory,
Enterprise Logistics
Laboratory, Ergonomics /
Safety Laboratory, Industrial
Engineering Library, Systems
Optimization & Computing
Student Organizations: Institute of
Laboratory (SOCL), Texas
Industrial Engineers, Alpha Phi Mu
Manufacturing Assitance
and Institute for Operations
Center (TMAC) and Industrial http://www.egr.uh. Research and the Management
Engineering Computer
edu/ie/research/? Sciences (INFORMS)
Laboratory
e=resources
N/A
http://www.sys.virginia.e
du/
Ph.D. in Systems Engineering
http://www.eas.pdx.edu/Sy
stems/program/
None
Air Force Center for Systems
Engineering
http://www.afit.edu
http://www.afit.edu/ls/co Certificate Series in System http://www.afit.edu/cse/doc
/en/ResearchCent IDE Degree Program in Systems
urselist.cfm
Engineering
s/edu/SEC.pdf
Research Centers
ers.cfm
Engineering
Master of Science degrees
in Systems Science and in
Industrial and Systems
Bachelor of Science in Industrial
http://bulletin.binghamton.edu/pro Engineering and a Master of http://www.ssie.binghamto and Systems Engineering
gram.asp?program_id=670#2
Engineering (MEng) degree n.edu/academics.html
(BSISE)
http://watson.binghamt
on.edu/level2/depts.ht Department of Systems Science and http://www.ssie.binghamt
ml
Industrial Engineering
on.edu/
PhD in systems science
Department of Systems
5/13/2007 Engineering
Engineering Management,
Information Systems Engineering,
http://www.se.usma.ed Systems Management, Operations
u/
Research
https://portal.dean.usma.
edu/departments/se/Pro
gramsMajors.aspx
None
N/A
None
N/A
Division of Engineering and
5/13/2007 Weapons
http://www.usna.edu//E
ngineeringandWeapon
s/homepage.htm
Systems Engineering
http://www.usna.edu/WS
E/
PhD in Industrial & Human Systems
http://www.engineering.wright.edu/
phd/research/ihs.html
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Research
Advisory Board
http://www.gmu.edu/departments/s
eor/board.html
N/A
The Department of Engineering
Management and Systems
Engineering conducts research and
scholarly activities in a variety of
topical areas within the discipline of http://eng.odu.edu/enma/academics
Engineering Management.
/research.shtml
N/A
N/A
N/A
N/A
N/A
The Electrical Engineering
and Computer Science
Department participates in a
number of groundbreaking
collaborative efforts.
http://www.eecs.c
ase.edu/research/
centers
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Research
http://www.ssie.binghamton.edu/res
earch.html
N/A
http://www.ssie.bingha
mton.edu/academics.h
tml
http://bulletin.binghamt
on.edu/program.asp?pr
ogram_id=637
B.S. in Systems Engineering
https://portal.dean.usm
a.edu/departments/se/
SM.aspx
N/A
N/A
N/A
N/A
Technology for System
Modeling and Simulation
https://portal.dean
.usma.edu/depart
ments/se/LabsTec
hnology.aspx
ABET Certified
B.S. in Systems Engineering
http://www.usna.edu/ac
dean/courses/ES.html N/A
N/A
N/A
N/A
N/A
N/A
ABET Certified
N/A
B.S. in Industrial and Systems
Engineering
http://www.engineering
.wright.edu/bie/bs_ise.
htm
N/A
N/A
N/A
N/A
N/A
Dayton, Ohio, US
Richard
McFarland
College of Engineering and
5/13/2007 Computer Science
http://www.cs.wright.ed
u/
Industrial and Systems Engineering
http://www.engineering.w
right.edu/cecs/whatis/ise
.shtml
None
N/A
N/A
N/A
William Rayen College of
6/10/2007 Engineering & Technology
http://www.eng.ysu.edu
/
Industrial and Systems Engineering
http://www.eng.ysu.edu/
programs/isegr/
None
http://www.ysu.edu/GradSchool/gr M.S. in Industrial and
ad_progr.shtml
Systems Engineering
http://www.ysu.edu/GradS B.S. in Industrial and Systems
chool/grad_progr.shtml
Engineering
http://www.eng.ysu.edu Six Sigma
/programs/isegr/curricu Black/Green Belt
lum.htm
Program
Lean Mastery Program,
Lean Enterprise for
http://www.ysu.edu/metr NonManufacturing
o/SixSigma.html
Organization
http://www.ysu.edu/metro/S
ixSigmaLean.html
N/A
N/A
Program Overview with additional
links
http://www.ysu.edu/majors/industria
lsyst_eng.pdf
3/26/2007 College of Engineering
Department of Electrical
http://www.bu.edu/eng/ and Computer Engineering
http://www.bu.edu/bulleti
ns/eng/item10.html
Ph.D. in Systems Engineering
http://www.bu.edu/bulletins/eng/ite
m07.html#anchor4a
http://www.bu.edu/systems/acade M.S. in Computer Systems
mics/courses/index.html
Engineering
http://www.bu.edu/systems B. S. in Manufacturing
/academics/courses/index. Engineering or Computer
html
Engineering
http://www.bu.edu/eng/
ugrad/programs/
N/A
N/A
N/A
N/A
N/A
N/A
Research Interests of the Faculty
http://www.bu.edu/bulletins/eng/ite
m10.html#anchor18
M.S. in Systems
Engineering
http://www.poly.edu/li/acad
http://www.poly.edu/ab Department of Electrical & Computer
Ph.D. in Electrical Engineeering Major http://www.poly.edu/ece/graduate/
emics/programs/systems_i
out/
Engineering
http://www.poly.edu/ece/ in Controls & Systems
doctoral/major/index.php
M.S. in Systems Integration ntegration.php
None
N/A
N/A
N/A
N/A
N/A
Research Groups and Labs
http://www.poly.ed
u/cis/research/lab
s/index.php
Research
http://www.poly.edu/cis/research/ind
ex.php
http://www.ces.clemso
n.edu/
Biosystems Engineering
http://www.clemson.ed
u/agbioeng/bio/deg.ht
m
N/A
N/A
N/A
N/A
N/A
N/A
http://www.clemson.edu/agbioeng/b
io/res.htm
Ohio
http://www.ysu.edu/
Youngston, Ohio
Richard
McFarland
Massachusetts
http://www.bu.edu/
Boston, Massachusetts
Tim Woods
Terry Riley
None
N/A
Deleted
http://www.poly.edu/li/acad
emics/programs/systems_
engineering.php
87
88
Polytechnic University
Clemson University
Complete
Complete
N.Y
South Carolina
http://www.poly.edu
Long Island, NY
http://www.clemson.edu/ Clemson, SC
Terry Riley
Tim Woods
Terry Riley
5/15/2007 Engineering School
5/15/2007 College
http://www.clemson.edu/
agbioeng/bio/home.htm Ph. D. Biosystems Engineering
http://www.clemson.edu/agbioeng/ M.S.in Biosystems
bio/deg.htm
Engineering
http://www.clemson.edu/ag
bioeng/bio/deg.htm
B. S. in Biosystems Engineering
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
130
May 2008
Research
School Name
89
Florida A and M University
SE Program
RVW Status
Complete
State/Other
Florida
School URL
http://www.famu.edu/
Location
Tallahassee, FL
Reviewer
Terry Riley
Date
Reviewed
Engineering
Department/School/Pr
ogram
College of Engineering
Sciences, Technology and
5/15/2007 Agriculture (CESTA)
URL
Systems
Engineering/Systems of
Systems/Engineering
Systems/etc. Offered
URL
Doctoral Degrees Offered in
SE/ES/SOS
Division of Engineering Sciences and
http://www.famu.edu/ol Technology - Biological and
http://www.famu.edu/old
dsite/acad/colleges/ces Agricultural Systems Engineering
site/acad/colleges/cesta/
ta/
(BASE)
base.htm
None
URL
N/A
Master Degrees
Offered in
SE/ES/SOS
90
Lehigh University
Complete
Pennsylvania
Terry Riley
P.C. Rossin College of
Engineering and Applied
6/9/2007 Science
Ph. D. in Industrial and Systems
Master of Science in
http://www3.lehigh.edu/
http://www.lehigh.edu/~in Engineering (Not systems engineering http://www.lehigh.edu/~inime/phdp Manufacturing Systems
engineering/default.asp Information and Systems Engineering ime/index.html
related)
rogram.html
Engineering
Bachelor Degrees
Offered in SE/ES/SOS
Michigan State University
Complete
Michigan
http://www.msu.edu/
East Lansing, MI
Terry Riley
6/9/2007 College of Engineering
BioSystems
http://www.egr.msu.edu
/egr/
Technology Systems Management
http://www.egr.msu.edu/
age/prospective/index.ht
m
Ph.D. in Biosystems Engineering
http://www.egr.msu.edu/age/gradu M.S.. in Biosystems
ate/index.htm
Engineering
M.S. in Industrial
Engineering
92
93
94
95
New Jersey Institute of Technology
North Carolina A and T University
North Dakota State University
Northeastern University
Complete
Complete
Complete
Complete
New Jersey
North Carolina
North Dakota
Massachusetts
http://www.njit.edu/
http://www.ncat.edu/
http://www.ndsu.edu/
Newark, NJ
Greensboro, NC
Fargo, ND
http://www.northeastern.
edu/neuhome/index.html Boston, Massachusetts
Jim Rodenkirch
Tim Woods
Jim Rodenkirch
Tim Woods
Jim Rodenkirch
Tim Woods
Jim Rodenkirch
Tim Woods
Newark College of
7/22/2007 Engineering
7/22/2007 College of Engineering
College of Engineering and
7/22/2007 Architecture
7/22/2007 College of Engineering
http://engineering.njit.e Epartment of Industrial and
du/
Manufacturing Engineering
http://industrial.njit.edu/
http://www.eng.ncat.ed
u/
Industrial and Systems Engineering
Ph.D. Areas of Specialization: HumanMachine Systems Engineering
(HMSE), Management Systems
http://www.eng.ncat.edu/ Engineering (MSE), and Production
http://www.eng.ncat.edu/DEPT/IS M.S. in Industrial
DEPT/ISEN/about.htm Systems Engineering (PSE).
EN/academic.htm
Engineering
http://www.ndsu.nodak. Agricultural and Biosystems
edu/ndsu/cea/
Engineering Department
http://www.coe.neu.edu Department of Mechanical and
/
Industrial Engineering
PhD in Industrial Engineering
http://industrial.njit.edu/academics M.S. in Manufacturing
/phd/
Systems Engineering
Oklahoma State University
97
Polytechnic University at Famingdale
Deleted
(Duplicate of Polytechnic)
98
Purdue University
99
Rutgers, The State University
100 South Dakota State University
101 Tennessee Tech University
Complete
Complete
Complete
Complete
Complete
Oklahoma
http://osu.okstate.edu/
Stilwater, OK
Oklahoma City, OK
Tulsa, OK
Jim Rodenkirch
Tim Woods
New York
http://www.poly.edu/li/
N/A
Jim Rodenkirch
Indiana
http://www.purdue.edu/
Chris Thompson
West Lafayette, Indiana Tim Woods
New Jersey
South Dakota
Tennessee
http://www.rutgers.edu/
Camden, New Jersey
Chris Thompson
http://www3.sdstate.edu/ Brookings, South Dakota Chris Thompson
http://www.tntech.edu/
Cookville, Tennessee
Chris Thompson
College of Engineering
7/24/2007 Architecture and Technology
6/9/2007
6/18/2007 College of Engineering
http://www.ceat.okstate
.edu/academics/index. Biosystems and Agricultural
htm
Engineering
Complete
California
103 University of Hawaii at Manoa
Complete
104 University of Memphis
Complete
Certificates
106 University of Minnesota
107 University of Nebraska at Lincoln
108 University of Pittsburgh
109 University of South Florida
Colorado State University-Pueblo
(Was University of Southern
110 Colorado)
111 University of St. Thomas
Complete
N/A
N/A
http://www3.lehigh.edu/
engineering/academics
/infosysug2.asp
N/A
N/A
N/A
N/A
http://www.lehigh.
Technology Centers and Labs edu/~inime/
Research
http://www.lehigh.edu/~inime/
http://www.egr.msu.ed
u/age/TSM/index.htm N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://industrial.njit.edu/aca
http://industrial.njit.edu/
demics/graduate/ms_man BS in Industrial and Manufacturing academics/undergradu
ufacturing.php
Engineering
ate/
N/A
N/A
N/A
N/A
Cneters and Labs
http://www.njit.edu
/research/centera
ndlabs.php
Research
N/A
Institutute of Industrial
Engineers
http://www.ncat.ed Industrial Engineering External
u/~iie/
Advisory Board
http://www.eng.ncat.edu/DEPT/ISE
N/partners.htm
Bio-imaging and Sensing
Center
http://www.ndsu.n
odak.edu/bioimagi
ng-sensingcenter/
Research
http://www.ageng.ndsu.nodak.edu/r
esearch.html
N/A
Complete
http://www.lehigh.edu/~indi
s/info_sys_engi.htm
http://www.lehigh.edu/~indi B.S. Degree Information &
s/ms_in_mse.htm
Systems Engineering
http://www.egr.msu.edu/ag B.S. in Technology Systems
e/graduate/index.htm
Management
http://www.egr.msu.ed
u/age/BE/
Complete
Research
http://www.eng.ncat.edu/D B.S. in Industrial and Systems
EPT/ISEN/academic.htm Engineering
http://www.eng.ncat.ed
u/DEPT/ISEN/academi
c_under.htm
N/A
N/A
N/A
Complete
Complete
Complete
Complete
Pennsylvania
Florida
Colorado
Minnesota
Lincoln, Nebraska
http://www.pitt.edu/
The University of
Pittsburgh encompasses
multiple campuses,
schools, departments,
centers, and zip codes. Trevor Viljoen
http://www.sarasota.usf.e
du/
Sarasota, Florida
http://www.colostatepueblo.edu/
Pueblo, CO
http://www.stthomas.edu/ Saint Paul, MN
Trevor Viljoen
Trevor Viljoen
Tim Woods
Tim Woods
http://www.eng.ncat.edu/DEPT/ISE
N/research.htm
http://www.ndsu.nodak.edu B>S> in Agricultural and
/ndsu/cea/
Biosystems Engineering
http://www.ndsu.nodak.
edu/ndsu/cea/
N/A
http://www.coe.neu.edu/ Doctor of Philosophy in Industrial
Depts/MIE/
Engineering
Master of Science in
Industrial Engineering
Master of Science in
Computer Systems
Engineering - CAD/CAM
Master of Science in
Computer Systems
http://www.coe.neu.edu/gse/sc_mi Engineering - Engineering
me_phd.html
Software Design
http://www.coe.neu.edu/gs
e/sc_mime.html
B.S. in Industrial Engineering
http://www.coe.neu.ed
u/Depts/MIE/?url=ugB
SIEmajor
N/A
N/A
N/A
N/A
Centers and Labs
http://www.coe.ne
u.edu/Depts/MIE/i
ndex.php?url=gra
duate
N/A
http://biosystems.oksta
te.edu/undergrad/index
new.html
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
B.S., in Biosystems
Engineering
N/A
N/A
N/A
http://biosystems.okstate.e
du/graduate/StartHere.htm
http://www.ceat.okstate.e
du/academics/index.htm Ph.D. in Biosystems Engineering
http://biosystems.okstate.edu/grad M.S. in Control Systems
uate/StartHere.htm
Engineering
http://www.okstate.edu/cea
t/mscse/
B.S., in Biosystems Engineering
https://engineering.purdu
e.edu/IE
Ph.D. inIndustrial Engineering
https://engineering.purdue.edu/IE/
https://engineering.purdue.
Academics/PhD/
M.S. Industrial Engineering` edu/IE/Academics/MS/
B.S. Industrial Engineering
https://engineering.pur
due.edu/IE/Academics/
Undergrad/
N/A
N/A
N/A
N/A
Institute for Interdisciplinary
Engineering Studies (IIES)
https://engineering
.purdue.edu/IIES/
Welcome/
N/A
N/A
http://coewww.rutgers.edu/ie/grad M.S. in Systems
uate.html
Engineering
http://coewww.rutgers.
edu/ie/undergraduate.h
tml
N/A
N/A
N/A
N/A
Center for Complex Systems
Modeling & Optimization
http://cosmolab.ru MS in Quality and Reliability
tgers.edu/
Engineering
http://coewww.rutgers.edu/ie/Qualit
y_rel/msoption.html
N/A
https://engineering.pur
due.edu/Engr/
School of Industrial Engineering
None
N/A
None
N/A
B.S. in Agricultural and
Biosystems Engineering
N/A
N/A
N/A
N/A
N/A
N/A
N/A
6/18/2007 College of Engineering
N/A
None
N/A
B.S. in Industrial and Systems
Engineering
http://www.ise.tntech.e
du/UGCurriculum2006.
htm
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Trevor Viljoen
http://www.unl.edu/
http://industrial.njit.edu/research/
http://www.ise.tntech.edu
/
None
http://www.memphis.edu/ Memphis, TN
Nebraska
N/A
http://industrial.njit.edu/aca
demics/graduate/ms_indus
trial.php
N/A
Tennessee
Trevor Viljoen
N/A
http://www.tntech.edu/e
ngineering/
Industrial and Systems Engineering
6/18/2007 College of Engineering
http://www1.umn.edu/twi
ncities/index.php
Twin Cities, Minnesota
N/A
6/18/2007 College of Engineering
Chris Thompson
Minnesota
N/A
http://abe.sdstate.edu/
page_a.cfm?page=Aca
demics
N/A
Hawaii
Trevor Viljoen
URL
http://www3.sdstate.ed
u/Academics/CollegeOf
Engineering/
None
6/18/2007 College of Engineering
Ann Arbor, Michigan
Anything Else
http://www.engr.rutgers Department of Industrial and Systems http://coewww.rutgers.ed Ph.D. in Industrial and Systems
.edu/
Engineering
u/ie/
Engineering
Chris Thompson
http://www.umich.edu/
URL
6/18/2007 School of Engineering
http://www.ucdavis.edu/ Davis, California
http://www.uhm.hawaii.e
du/
Honolulu, Hawaii
Michigan
Center/Lab/Institute/C
onsortium
N/A
6/9/2007 Herff College of Engineering
http://engineering.ucda
vis.edu/
Biological & Agricultural Engineering
http://www.eng.hawaii.
edu/
None
http://www.engr.memp
his.edu/
None
Master of Science in
Engineering
http://coewww.rutgers.edu/ B.S. in Industrial and Systems
ie/systems/msoption.html Engineering
http://bae.engineering.uc
http://bae.engineering.ucdavis.edu
davis.edu/index.html
D.E. in Biological Systems Engineering /pages/graduate/phd.html
Master of Engineering
http://bae.engineering.ucd
avis.edu/pages/graduate/ B.S. in Biological Systems
ms.html
Engineering
http://bae.engineering.
ucdavis.edu/pages/und
ergraduate/undergradu
ate.html
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
B.S. in Biosystems Engineering
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://cpd.engin.umich.e Certification Training
du/index.html
Programs
http://cpd.engin.umich.edu/
cpdsite/programs/programscertificate.xsl?db=program&script.presort=webResearch Centers And
certPrograms
Groups
Corporate Relations (Michigan
Engineering consistently ranks in
the top five nationally for research
http://ioe.engin.u volume - $131 million in
mich.edu/researc 2005/2006.)
h/rescentandgrou
ps.php
Research
http://www.cce.umn.edu Systems Engineering
/
Certificate Program
http://www.cce.umn.edu/pdf
s/CPE/Engineering/System
s_engineering_programs_C
ourse_Outlines.pdf
Centers
http://www.ie.umn.
edu/research/inde
x.shtml
Research
M.S. in Engineering
105 University of Michigan
URL
http://www.ndsu.nodak.edu/ndsu/c M.S. in Agricultural and
ea/
Biosystems Engineering
Ph.D. in Biological Systems
Engineering
102 University of California, Davis
URL
http://www.ageng.ndsu.n Ph.D. in Agricultural and Biosystems
odak.edu/general.html
Engineering
Control Systems Engineering
96
Continuing
Education
N/A
B.S. in Biosystems Engineering
91
URL
http://www.famu.edu/ol
B.S. in Biological and Agricultural dsite/acad/colleges/ces
Systems Engineering
ta/base.htm
N/A
None
M.S. Degree and Master of
Engineering (M.Eng)
Information & Systems
Engineering
http://www3.lehigh.edu/d Bethlehem,
efault.asp
Pennsylvania
URL
6/9/2007 College of Engineering
6/9/2007 Institute of Technology (IT).
http://www.engin.umich
http://ioe.engin.umich.ed Ph.D. in Industrial and Operations
.edu/
Industrial and Operations Engineering u/index.php
Engineering
Industrial & Systems Engineering
http://www.it.umn.edu/ (ISyE )
http://www.ie.umn.edu/n
ewsevents/SE-IC-PRNov05.pdf
PhD in ISyE
M.S. in Industrial
http://ioe.engin.umich.edu/degree Engineering with
s/grad/phd.php
concentration in Systems
http://ioe.engin.umich.edu/
degrees/grad/ms_gradadm B.S. in Industrial and Operations
iss.php
Engineering
Center for
http://ioe.engin.umich.e Professional
du/degrees/ugrad/inde Development
x.php
(CPD)
http://www.ie.umn.edu/degreeprog
rams/phd.shtml
MS in ISyE - SE Track
http://www.ie.umn.edu/deg
reeprograms/ms-se.shtml Integrated BS in ME/MS in ISyE
http://www.ie.umn.edu/ College of
degreeprograms/bme- Continuing
ms.shtml
Education
http://www.unl.edu/gradstu
dies/prospective/programs/
IndustrialMgmtSystemsEn BS Industrial & Management
gr.shtml
Systems Engineering
http://engineering.unl.e
du/academicunits/IMS
E/undergraduate/index.
shtml
N/A
N/A
N/A
N/A
http://www.engin.umich.edu/relation
s/corporate/about/
http://ioe.engin.umich.edu/research/
http://www.ie.umn.edu/research/ind
ex.shtml
6/9/2007 College of Engineering
PhD in Industrial and Management
http://engineering.unl.e Industrial and Management Systems http://engineering.unl.ed Systems Engineering
du/
Engineering
u/academicunits/IMSE/
MS in Industrial and
http://www.unl.edu/gradstudies/pr Management Systems
ospective/programs/IndustrialMg Engineering
mtSystemsEngr.shtml
6/9/2007 School of Engineering
http://www.engr.pitt.edu
/
Industrial Engineering
http://www.engr.pitt.edu/i PhD in Industrial Engineering
ndustrial/
http://www.engr.pitt.edu/industrial/ M.S. in Industrial
pages/grad_phd.html
Engineering
http://www.engr.pitt.edu/in
dustrial/pages/grad_ms.ht
ml
B.S. in Industrial Engineering
http://www.engr.pitt.ed
u/industrial/pages/unde
rgrad_courses.html
N/A
N/A
6/9/2007 College of Engineering
http://www.sarasota.usf
.edu/AcademicAffairs/
Documents/CollegeofE
ngineering/Engineering Industrial and Mechanical
.htm
Engineering
http://imse.eng.usf.edu/fl PhD. in Industrial and Management
_00home.aspx
Systems Engineering
M.S. in Industrial and
http://imse.eng.usf.edu/fl_0302ac Management Systems
ad_grad01phd.aspx
Engineering
http://imse.eng.usf.edu/fl_ B.S. in Industrial and
0302acad_grad02msie.asp Management Systems
x
Engineering
http://imse.eng.usf.edu
/fl_0301acad_under.as Continuing
px
Education
http://www.outreach.usf.
edu/conted/sitemap/
Continuing Education
http://www.outreach.usf.ed
u/conted/sitemap/
N/A
N/A
Research
http://imse.eng.usf.edu/fl_0500rese
arch.aspx
http://ceeps.colostatepueblo.edu/inde/Index.
asp
Industrial and Systems Engineering
http://ceeps.colostatepueblo.edu/inde/Index.as
p
None
M.S. in Industrial and
Systems Engineering
http://ceeps.colostatepueblo.edu/inde/MSISE.as B.S. in Industrial and Systems
p
Engineering
http://ceeps.colostatepueblo.edu/inde/Degre
es.asp
N/A
N/A
N/A
N/A
N/A
N/A
N/A
M.S. in Systems
Engineering
http://www.stthomas.edu/e
ngineering/graduate/progra
ms/msse/default.html
Master of Manufacturing
Systems Engineering
(MMSE)
http://www.stthomas.edu/e
ngineering/graduate/progra
ms/mmse/default.html
http://www.stthomas.edu/en
gineering/graduate/certificat
es/leadership/default.html N/A
N/A
N/A
N/A
6/10/2007 Department of Engineering
6/10/2007 School of Engineering
http://www.stthomas.ed
u/engineering/
Systems Engineering
N/A
http://www.stthomas.edu
/engineering/graduate/ab
out/default.html
None
Master of Science degree in http://www.stthomas.edu/e
Manufacturing Systems
ngineering/graduate/progra
(MSMS)
ms/msms/default.html
None
N/A
Manufacturing Systems
Certificate
N/A
N/A
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
131
N/A
May 2008
N/A
Manufacturing Leadership
Certificate
N/A
http://engineering.
unl.edu/academic
Laboratories in Industrial and units/IMSE/photos
Systems Engineering
/labs/index.shtml N/A
N/A
N/A
http://www.engr.pi
Laboratories in Industrial and tt.edu/industrial/pa
Systems Engineering
ges/labs.html
Research
http://www.engr.pitt.edu/industrial/p
ages/research.html
http://www.stthomas.edu/en
gineering/graduate/certificat
es/systems/default.html
School Name
112 University of Tennessee (Knoxville)
113 University of Wisconsin
SE Program
RVW Status
Complete
State/Other
Tennessee
Complete
Wisconson
School URL
Location
http://www.tennessee.ed
u/
Knoxville, TN
http://www.wisc.edu/
Madison, WI
Reviewer
Tim Woods
Tim Woods
Date
Reviewed
Engineering
Department/School/Pr
ogram
URL
Systems
Engineering/Systems of
Systems/Engineering
Systems/etc. Offered
6/10/2007 College of Engineering
http://www.engr.utk.edu
/
Biosystems Engineering
6/10/2007 College of Engineering
http://www.engr.wisc.e Biological Systems Engineering
du/lists/departments.ht
ml
Industrial and Systems Engineering
URL
Doctoral Degrees Offered in
SE/ES/SOS
Complete
Washington, DC
http://www.wsu.edu/
Pullman, WA
Tim Woods
115 Georgia College and State University Complete
Georgia
http://www.gcsu.edu/
Warner Robins, GA, US Tim Woods
116 Florida Institute of Technology
Florida
http://www.fit.edu/
Melbourne, FL
117 Kansas State University
118 University of Massechuetts
University of Illinois at Urbana119 Champaign
120 University of Rhode Island
121 University of Texas at El Paso
Complete
Complete
Kansas
Complete
Massachusetts
Complete
Illinois
Complete
Rhode Island
Complete
Texas
http://www.k-state.edu/
http://www.uml.edu/
http://www.uiuc.edu/
http://www.uri.edu/
http://www.utep.edu/
Manhattan, KS
Lowell, MA
Urbana-Champaign, IL
Kingston, RI
El Paso, TX
122 Wichita State University
Complete
Kansas
http://www.wichita.edu/thi
sis/
Wichita, KS
123 Louisana State University
Complete
Louisana
http://www.lsu.edu/
124 Walden University
Complete
Online
http://degrees.waldenu.e
du/index.php
Baton Rouge, LA
Tim Woods
Tim Woods
Tim Woods
Tim Woods
Tim Woods
Tim Woods
http://bioengr.ag.utk.edu/gradStud M.S. in Biosystems
ies/
Engineering
http://bse.wisc.edu/Defa Ph.D. in Biological Systems
ult.htm
Engineering
http://bse.wisc.edu/programs/grad M.S. in Biological Systems
.html
Engineering
http://www.engr.wisc.edu Ph.D. in Industrial and Systems
/ie/prospective/
Engineering
http://www.bsyse.wsu.ed Ph.D.in Biological and Agricultural
u/
Engineering
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.gcsu.edu/gradu
ate/gradpages/logisticsma
nagement.html
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
M.S. in Logistics
Management (Closest
degree to SE)
http://coe.fit.edu/se/
Engineering Systems
http://coe.fit.edu/se/
None
N/A
M.S. systems engineering
http://coe.fit.edu/se/se.htm None
Master of Science in
Industrial Engineering
(MSIE)
http://cheetah.imse.ksu.ed
u/msie.php
N/A
N/A
N/A
N/A
N/A
Advisory Council
http://cheetah.imse.ksu.edu/advisor
yCouncil.php
7/29/2007 College of Engineering
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
7/29/2007 College of Engineering
Department of Industrial and
http://www.engr.uiuc.ed Enterprise Systems Engineering
u/
(IESE)
Master of Science in
B.S. Industrial Engineering
Doctor of Philosophy (PhD) in Systems http://www.iese.uiuc.edu/grad/pro Systems and
http://www.iese.uiuc.edu/gr
http://www.iese.uiuc.edu/ and Entrepreneurial Engineering
grams/phdsee.html
Entrepreneurial Engineering ad/programs/mssee.html B.S. General Engineering
http://www.iese.uiuc.ed
u/ugrad/
N/A
N/A
N/A
N/A
Labs
http://www.iese.ui
uc.edu/research/ Research
http://www.iese.uiuc.edu/research/
http://www.egr.uri.edu/i
me/Programs/Undergr
aduate%20Overview.ht
m
N/A
N/A
N/A
N/A
N/A
N/A
Research
http://www.egr.uri.edu/ime/Researc
h%20Topics/index.htm
N/A
N/A
Yes, but not found on
website
N/A
N/A
N/A
N/A
N/A
http://webs.wichita
.edu/?u=IMFGE&
p=/Research/Labs
/
N/A
N/A
None
None
Master of Science in
http://www.egr.uri.edu/ime/Progra Industrial and Systems
ms/doctorate_adm.htm
Engineering
None
http://www.egr.uri.edu/ime/
Programs/grad_overview.h Bachelor of Science Program in
tm
Industrial Engineering
7/29/2007 College of Engineering
Department of Industrial and Systems http://www.egr.uri.edu/im PhD in Industiral and Systems
http://www.egr.uri.edu/ Engineering
e/
Engineering
7/29/2007 College of Engineering
http://academics.utep.e
du/Default.aspx?alias=
academics.utep.edu/en
g
Interdepartmental
http://academics.utep.ed
u/Default.aspx?tabid=43
552
None
http://www.wichita.edu/t
hisis/academics/engine Industrial and Management
ering.asp
Engineering
Master of Science in
Industrial Engineering
(MSIE) program offers
Ph.D. in Industrial Engineering (MSIE)
concentrations in:
program offers concentrations in:
Ergonomics/Human Factors,
Ergonomics/Human Factors,
Engineering Systems, and http://webs.wichita.edu/?u Bachelor of Science Degree
http://webs.wichita.edu
http://webs.wichita.edu/? Engineering Systems, and
http://webs.wichita.edu/?u=imfge& Manufacturing Systems
=imfge&p=/Admission/MSI Program in Industrial Engineering /?u=imfge&p=/Admissi
u=imfge&p=/index
Manufacturing Systems Engineering
p=/Admission/PhD/
Engineering
E/
(BSIE)
on/BSIE/
N/A
N/A
GRADUATE CERTIFICATE
PROGRAMS IN
INDUSTRIAL AND
http://webs.wichita.edu/?u=i
MANUFACTURING
mfge&p=/Admission/Cerific
ENGINEERING
ate/
Labs and Centers
Interdepartmental Master of
Science degree with a major
in Engineering,
http://academics.utep.edu/
Concentration in Systems
Default.aspx?tabid=45606
Engineering
#systems
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Tim Woods
NTU College of Engineering
8/5/2007 and Applied Science
http://degrees.waldenu.
edu/engineering_it.php None
N/A
None
N/A
M.S. Systems Engineering
http://degrees.waldenu.edu
/engineering_it.php#mssys
e
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
School of Engineering in
College of Science,
ENGINEERING &
8/5/2007 TECHNOLOGY
School of Mines and
8/5/2007 Engineering
http://www.jsums.edu/
%7Esst/cset/engineerin
g.htm
None
http://www.mtech.edu/
mines/
None
http://www.jsums.
edu/~ngc/index_fil
es/slide0004.htm N/A
N/A
Tim Woods
Department of Engineering in
the College of Technology
8/5/2007 and Computer Science
Leonard C. Nelson College of
8/5/2007 Engineering
http://www.tecs.ecu.ed
u/AcademicDeptments
_Engineering.htm
Systems Engineering
http://www.wvutech.ed
u/engineering/
None
Tim Woods
http://www.marshall.edu/ Huntington, WV
Tim Woods
http://www.marlboro.edu/ Marlboro, VT
Tim Woods
8/5/2007 None
3
N/A
http://www.uml.edu/coll
ege/engineering/default
.html
None
Vermont
0
N/A
http://cheetah.imse.ksu
.edu/undergraduateStu
dents.php
N/A
West Virginia
0
N/A
http://cheetah.imse.ksu.ed
u/mem.php
BSIMSE
Complete
Deleted
N/A
http://www.bsyse.wsu.edu/
core/Graduate%20Studies/
engr-grad06.htm
None
7/29/2007 College of Engineering
Complete
Identification
http://www.engr.wisc.e
du/ie/prospective/under
grad/
N/A
Master of Engineering
Management (MEM)
http://cheetah.imse.ksu.edu/phd.p Distance Education Only
hp
130 Marlbolo College
In-Work
N/A
http://cheetah.imse.ksu.
edu/
Ph.D. in Industrial Engineering
129 Marshall University
128
N/A
http://www.engg.ksu.ed Department of Industrial and
u/
Manufacturing Systems Engineering
College of Information
8/5/2007 Technology and Engineering
Complete
N/A
N/A
Tim Woods
Georgia
N/A
None
Tim Woods
Complete
URL
N/A
N/A
Butte, MT
131 Georgia Institute of Technology
Anything Else
N/A
None
Jackson, MS
Greenville, NC
http://www.bsyse.wsu.edu/core/Gr
aduate%20Studies/engrM.S. in Biological and
grad06.htm
Agricultural Engineering
URL
N/A
N/A
http://www.mtech.edu/
http://www.wvutech.edu/ Montgomery, WV
http://www.engr.wisc.edu/ie/prosp M.S. in Industrial
ective/grad/degrees.html
Engineering
Center/Lab/Institute/C
onsortium
None
http://www.jsums.edu/
http://www.ecu.edu/
http://bse.wisc.edu/pro
grams/structural.htm
B.S. Structural Systems
http://www.engr.wisc.edu/i Engineering
e/prospective/grad/degree
s.html
B.S. in Idustrial Engineering
URL
N/A
Montana
West Virginia
http://bse.wisc.edu/progra
ms/grad.html
Certificates
http://www.eng.lsu.edu/ None
Mississippi
North Carolina
http://bioengr.ag.utk.edu/gr
adStudies/
B.S. in Biosystems Engineering
URL
8/5/2007 College of Engineering
Complete
Complete
Continuing
Education
URL
http://bioengr.ag.utk.ed
u/students/BE_options.
asp
N/A
Tim Woods
Complete
Complete
Bachelor Degrees
Offered in SE/ES/SOS
7/29/2007 College of Engineering
126 Montana Technical University
128 West Virginia Institue
6/10/2007 Graduate Studies
Department of Engineering
6/10/2007 Systems (DES).
http://www.cea.wsu.ed
u/
URL
Tim Woods
125 Jackson State University
127 East Carolina University
College of Engineering and
6/10/2007 Architecture.
Master Degrees
Offered in
SE/ES/SOS
http://bioengr.ag.utk.edu/
gradStudies/grad_BE.as
p
Ph.D. in Biosystems Engineering
Biological Systems Engineering
114 Washington State University
URL
http://www.gatech.e
Atlanta, GA
du/
College of Engineering
Engineering
Programs
Identified
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
Northrup Gruman Center for
HPC for Ship Systems
Engineering
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.tecs.ecu.edu/
engineering/programs/sy
stems.html
None
N/A
None
N/A
B.S. in Systems Engineering
http://www.tecs.ecu.ed
u/engineering/mission/ N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
http://www.marshall.ed
u/cite/
None
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
N/A
None
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
None
The H. Milton Stewart School of
http://www.coe.gatech. Industrial and Systems Engineering
edu/
SE Type Programs
108 Identified
www.isye.gatech.ed
None
u
Ph.D, Programs
88 Identified
53 Master Programs Identified
Bachelor Programs
82 Identified
63
Refer to Citation Disclaimer
SMU SEP Benchmarking Team
132
May 2008