UN
I V E RS I T Y
OF
1119 M a i n A d m i n i s t r a t i o n B u i l d i n g
College Park, M a r y l a n d 20742-5031
301.405.5252 T E L 301.405.8195 F A X
MARYLAND
OFFICE OF T H E SENIOR VICE PRESIDENT AND PROVOST
December 23,2015
MEMORANDUM
TO:
Jayanth R. Banavar
Dean, College of Computer, Mathematical, and Natural Sciences
FROM:
Elizabeth Beise
Associate Provost for Academic Planning and Programs
SUBJECT:
Proposal to Modify the Bachelor of Science in Computer Science - Data Science
Specialization (PCC log no. 15036)
At its meeting on December 4, 2015, the Senate Committee on Programs, Curricula and
Courses approved the proposal to modify the Bachelor of Science in Computer Science by
adding a Data Science specialization. A copy of the proposal is attached.
The change is effective Spring 2016. Please ensure that this change is fully described in
the Undergraduate Catalog and in all relevant descriptive materials, including the undergraduate
program's four-year plan (contact Lisa Kiely at lkielv(giumd.edu for more information).
MDC/
Enclosure
cc:
Andrew Harris, Chair, Senate PCC Committee
Barbara Gill, Office of Enrollment Management
Reka Montfort, University Senate
Erin Taylor, Division of Information Technology
Pam Phillips, Institutional Research, Planning & Assessment
Anne Turkos, University Archives
Linda Yokoi, Office of the Registrar
Cynthia Stevens, Office of Undergraduate Studies
Robert Infantino, College of Computer, Mathematical, and Natural Sciences
Samir Khuller, Department of Computer Science
University of Maryland P C C
Program/Curriculum/Unit Proposal
15036
Program- ^^^^ Science Specialization
Department/Unit: Computer Science
College/School:
CMNS
Proposal Contact Person (with email): ^ m o l Desphande amol@cs.umd.edu
Type of Action (check one):
|X]Curricuium change (includes modifying minors,
r~l
concentrations/specializations and creating informal • Create an online version o f an existing program
specializations)
r~l Establish a new minor
Curriculum change is for an LEP Program
r~1
~1 Establish a new Master or Certificate o f Professional
Studies program
•
other:
• N e w Professional Studies program will be
administered by Office o f Extended Studies
Approval Signatures . Department Committee Chair ^ / | A r V ^
2. Department Chair
3. College/School PCC Chair
4. Dean
Q^L^^-.^
5. Dean o f the Graduate School ( i f required)
6. Chair, Senate PCC
A
/-/k^to.")
7. University Senate Chair ( i f required)
8. Senior Vice President and Provost
Instructions:
When approved by the dean of the college or school, please send the proposal and signed form to the Office of the Associate Provost
for Academic Planning and Programs, 1119 Main Administration Building, Campus-5031, and email the proposal document as an
MSWord attachment to pcc-submissions((j^.umd.edu.
Summary of Proposed Action (use additional sheet if necessary):
Unit Code(s) (to be entered by the Office of Academic Planning and Programs):
1
Data science is an ennerging field encapsulating interdisciplinary activities
centric products, applications or programs that address specific scientific,
business questions. It is making deep inroads in industry, government, health
Due to the growing need for applying data science techniques in those and oth
there is a significant shortage of trained data scientists. Data Science inco
from a variety of fields in computer science, chiefly Machine Learning, Stati
Systems, Algorithms, and Visualization. The proposed undergraduate data scien
would enable students to get the broad variety of skills needed to be success
Students can already accomplish this specialization through selection of cour
the existing requirements of the CS major (major code 07010). Creating a disc
specialization will recognize this path through the major more formally with i
students' transcripts, which has the potential to benefit them in their futur
provides the potential for better seat planning, enrollment management, and b
with academic advising. Since the specialization includes only existing cours
Science curriculum (including a recently created course), no additional resou
We propose that the effective date for the specialization to start be Spring
propose that the code for the data science specialization be 0701B.
The course of study for a Computer Science major must include all of the foll
requirements:
1.
A grade of C- or better in each of the following courses:
a. CMSC 131 or a score of 5 on A version of the JAVA Advanced Placement exam
or 5 on the AB version of the JAVA Advanced Placement exam or an acceptable s
appropriate Department exemption examination, which is to be taken at the tim
the program.
b. CMSC 132 or acceptable score on the appropriate Department exemption exami
which is to be taken at the time of entry into the program.
c. CMSC 216 or acceptable score on the appropriate Department exemption exami
which is to be taken at the time of entry into the program.
2
d. CMSC 250 or acceptable score on the appropriate Department exemption exami
which is to be tal<en at the time of entry into the program.
e. At least 27 credit hours at the 300-400 levels. These must include CMSC 33
at least 15 credit hours from the following CMSC courses with no more than tw
single category:
Computer Systems: Up to two of 411, 412, 414, 417
Information Processing: Up to two of 420, 421, 422, 423, 424, 426, 427
Software Engineering/Programming Languages: Up to two of 430, 433, 434, 435
Algorithms and Computation Theory: Up to two of 451, 452, 456
Numerical Analysis*: One of 460 or 466.
Courses in Numerical Analysis require MATH 240 and 241 as additional prerequ
Students without either of these prerequisites must choose their 15 credit ho
remaining courses in the other four areas.
2. MATH 140 and 141. A STAT course which has MATH 141 (or a more advanced ma
course) as a prerequisite, and one other MATH, STAT, or AMSC course which ha
a more advanced mathematics course) as a prerequisite. A grade of C- or bett
in each of the courses. No course that is cross-listed as CMSC may be counte
requirement.
3. A minimum of 12 additional credit hours of 300-400 level courses in one d
of computer science with an average grade of C- or better. No course that is
CMSC may be counted in this requirement. The following general guidelines sho
observed when selecting courses for this upper level supporting sequence:
a. Courses must have all the same four-letter acronym
b. Each course should be a minimum of 3 credits.
c. Only 1 special topics or independent study course (such as courses number
may be used.
Any variations must be approved by the Undergraduate Program Director. No cou
fulfill another requirement (other than CORE Advanced Studies) can be counted
requirement.
3
J^CIVISC 131 (4) Object-Oriented Programming I
J^CIVISC 132 (4) Object-Oriented Programming II
* CMSC 216 (4) Introduction to Computer Systems
* CMSC 250 (4) Discrete Structures
* CMSC 330 (3) Organization of Programming Languages
* CMSC 351 (3) Data Structures and Algorithms
*
*
*
CMSC 320 (3) Introduction to Data Science
CMSC 422 (3) Introduction to Machine Learning
CMSC 424 (3) Database Design
One course from the following:
J^CMSC 402 (3) Bioinformatics II: Functional Genomics and Proteomics
* CMSC 420 (3) Data Structures
* CMSC 421 (3) Introduction to Artificial Intelligence
* CMSC 423 (3) Bioinformatic Algorithms, Databases, and Tools
* CMSC 425 (3) Game programming
* CMSC 426 (3) Image Processing
* CMSC 427 (3) Computer Graphics
One course from the following:
* CMSC 451 (3) Design and Analysis of Computer Algorithms
* CMSC 460 (3) Computational Methods
Two
*
*
*
*
*
*
*
JL
courses from the following list:
CMSC 411 (3) Computer Systems Architecture
CMSC 412 (4) Operating Systems
CMSC 414 (3) Computer and Network Security
CMSC 417 (3) Computer Networks
CMSC 430 (3) Introduction to Compilers
CMSC 433 (3) Programming Language Technologies and Paradigms
CMSC 434 (3) Introduction to Human-Computer Interaction
CMSC 435 (3) Software Engineering
Students must take the following course to fulfill the STAT requirement
* STAT400 (3) Applied Probability and Statistics I
These course requirements are a particular instance of the current course
Computer Science major; that is, they can be taken in the normal progressio
Computer Science major, and they fulfill the computer science course require
Computer Science major.
4
3
16
CMSC132
MATH 141
CORE HA
CORE SB
4
4
3
3
CMSC 216
CMSC 250
CORE PL/LL
Elective
14
4
4
4
3
15
'l'li
i
CMSC422
CMSC424
CMSC4XX
Upper Level Concentration
3
3
3
6
15
CMSC 4XX
4
CMSC 4XX
3
Upper Level Concentration3
Elective
6
16
5
3
3,
1
3
3
3
3
6entd»M5
1
16
CMSC132
MATH 141
GenEd-NL
GenEd-HS
4
4
4
3
15
CMSC 216
CMSC 250
GenEd-SP
GenEd HU
4
4
3
3
14
3
3
CMSC422
CMSC424
Upper Level Concentration
Elective
3
3
6
3
15
CMSC4XX
3
CMSC4XX
3
CMSC4XX
3
Upper Level Concentration 3
Elective
3
15
Total Undergraduate Credits
120
7
4
4
CMSC216
CMSC250
GenEd-HU
GenEd-SP
4
4
3
3
4
CMSC 330
CMSC 351
GenEd-NS
GenEd-HS
MATH2XX
3
3
3
3
4
14
16
Cfet
-
CMSC4XX
CMSC4XX
Upper Level
3
3
3
3
3
15
CMSC4XX
Upper Level
Upper Level
Total Degree
?,
3
3
3
3
3
15
120
.
8
-corequisite IV1ATH140
-MATH 140
-CMSC132; MATH141
-CMSC131; MATH140
-CMSC216; CMSC250
-CMSC216; CMSC250
-CMSC330
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
-CMSC330; CMSC351
- CMSC420; corequisite CMSC427
- CMSC420
-CMSC420; MATH240
-CMSC330; CMSC351
-CMSC330
-CMSC330; CMSC351; PSYClOO
- CMSC412 or CMSC417 or CMSC420 or CMSC430 or CMSC433
- CMSC330; CMSC351
- CMSC351
-CMSC351
- (CMSC330; CMSC351) or 2 MATH4xx
-CMSC106; MATH240; MATH241
-CMSC106; MATH240; MATH241
- CMSC330; CMSC351
- MATH240; MATH241