School research for statistics (按优先级排序)
1. UCLA
The Department of Statistics at UCLA coordinates undergraduate and graduate
statistics teaching and research within the College of Letters and Sciences. We
teach a large number of undergraduates and we have a substantial graduate
program. Our research and teaching have a strong emphasis on
computational and applied statistics. We have an active consulting center
for both on-campus and off-campus clients.
The graduate program is structured around three core course sequences that
introduce students to the science of data: theoretical statistics, data analysis,
and statistical computing. This balance reflects the scale and complexity of
problems that statisticians are now routinely called to address.
The Statistical Consulting Center of the UCLA Department of Statistics has the
dual purpose of:
 Training graduate students in consulting work and real-life data analysis,
and
 Providing statistical consulting and data analysis services to the Campus
and the Community.
In addition we offer electronic consulting, and a large number of mini-courses in
various topics in statistics and statistical software. For updates on mini-courses
and other Consulting Center news, follow us on Twitter.
Walk-in consulting, electronic consulting, and intake conversations are always
free.
The strengths of current and prospective faculty dictate the specific fields of
emphasis in the department: computational and computer-intensive statistics;
applied multivariate analysis; bioinformatics; social statistics; computer vision;
pattern recognition; and machine learning. (Note: when graduating, transcripts
and diplomas will not show the area of study).
2. UCSD
M.S. in Statistics
All student course programs must be approved by a faculty adviser prior to
registering for classes each quarter, as well as any changes throughout the
quarter. (This program is offered only under the Comprehensive
Examination Plan)
48 units of course credit subject to adviser approval are needed. Up to 8 of them
can be from upper-division Mathematics. Up to 8 of them can be graduate
courses in other departments. Mathematics 295 and 500 generally don't count
toward those 48 units, and neither do seminar courses, unless the student's
participation is substantial. Fulltime students are generally required to register
for at least 12 units per quarter.
The M.S. in Statistics is designed to provide recipients with a strong
mathematical background and experience in statistical computing with various
applications. Out of the 48 units of credit needed, required core courses
comprise 28 units, including:


Mathematics 281A-B-C (Mathematical Statistics)
Mathematics 282A-B (Applied Statistics)
and any two topics comprising eight (8) units chosen freely from Mathematics
287A-B-C-D and 289A-B-C (see course descriptions for topics).
The following guidelines should be followed when selecting courses to complete
the remaining 20 units:


For a theoretical emphasis, Mathematics 280A-B-C (Probability
Theory) is recommended.
For an applied orientation, Mathematics 270A-B-C (Numerical
Mathematics) is recommended.
Comprehensive Examinations: Two written comprehensive examinations
must be passed at the Master's level in related course work (approved by a
faculty adviser). Instructors of the relevant courses should be consulted for
exam dates as they vary on a yearly basis.
Any Master's student can submit for consideration a written request to transfer
into the Ph.D. program when the qualifying exam requirements for the Ph.D.
program have been met and a dissertation adviser is found (refer to "Ph.D. in
Mathematics" for complete description of the departmental
examinations). Approval by the Qualifying Exam and Appeals Committee
(QEAC) is not automatic, however.
Foreign Language Requirement: There is no foreign language requirement
for the M.S. in Statistics.
Graduate Courses
GRADUATE COURSES (Fall 2009)
MATH 200A A00 Small, Lance
Algebra
MATH 201A A00 Zelmanov, Efim
Basic Topics in Algebra
MATH 202A A00 Gill, Philip
Applied Algebra I
MATH 203A A00 Oprea, Dragos
Algebraic Geometry
MATH 205
A00 Stark, Harold
Topics In Algebraic Number Theory
MATH 209
A00 Stark, Harold
Seminar Number Theory
MATH 210A A00 Li, Bo
Mathematical Methods of Physics & Engineering
MATH 220A A00 Ebenfelt, Peter
Complex Analysis
MATH 231A A00 Sterbenz, Jacob
Partial Differential Equations
MATH 240A A00 Okikiolu, Kate
Real Analysis
MATH 248
Seminar In Real Analysis
A00 Baouendi, Salah
MATH 250A A00 Weinkove, Ben
Differential Geometry
MATH 257A A00 Ni, Lei
Topics in Differerntial Geometry
MATH 261A A00 Remmel, Jeff
Probabilistic Combinatorics & Algorithms I
MATH 269
Seminar In Combinatorics
A00 Remmel, Jeff
MATH 270A A00 Bank, Randy
Numerical Linear Algebra
MATH 271A A00 Gill, Philip
Numerical Optimization
MATH 273A A00 Leok, Melvin
Applied Analysis for Computational Science I
MATH 274
Numerical Methods For Physical Modeling
A00 Cheng, Li-Tien
MATH 278A A00 Holst, Mike
Seminar in Computational Mathematics
MATH 278B A00 Holst, Mike
Seminar in Mathematical Physics/PDE
MATH 280A A00 Driver, Bruce
Probability Theory
MATH 281A A00 Xu, Lily
Mathematical Statistics
MATH 282A A00 Politis, Dimitris
Applied Statistics
MATH 286
A00 Schweinsberg, Jason Stochastic Differential Equations
MATH 288
A00 Driver, Bruce
Seminar In Probability & Statistics
B00 Abramson, Ian
MATH 290A A00 Roberts, Justin
Topology
MATH 292
A00 Roberts, Justin
Seminar In Topology
MATH 295
A00 Li, Bo
Special Topics In Mathematics
MATH 296
A00 Tesler, Glenn
Student Colloquium
Employment Opportunities: Graduate
Graduate students interested in Teaching Assistant positions should contact the
Graduate Coordinator. Careers in statistics at the American Statistical
Association (ASA) website. This site provides general examples of statistical
careers and also describes several fields that a statistician may work in, such as
law, forestry, education, medicine, and the social sciences.
3. Ga Tech
The School of Industrial and Systems Engineering includes a Ph.D. program for
Applied Statistics, with emphasis on the use of statistics in a technological
environment. In the Applied Statistics Program, a student may specialize in a
specific area of application such as manufacturing statistics, reliability and
quality control, simulation, or more traditional areas of statistical research.
Students in this program study the mathematics needed for advanced work in
probability and statistics as well as necessary advanced work in an application
area. Graduates typically go on to careers on university facilities in statistics,
engineering, or management, as well as in industry or government positions as
researchers or consultants.
Master of Science in Statistics (MS Stat)
CORE (12 hrs required)
 Math 4261 Mathematical Statistics I
 Math 4262 Mathematical Statistics II
 ISyE 6414 Statistical Modeling and Regression Analysis
 ISyE 7400 Advanced Design of Experiments or ISyE 7401 Advanced
Statistical Modeling
THEORY/ADVANCED (select 6 hrs)
 ISyE 7441 Theory of Linear Models
 Math 6262 Statistical Estimation
 Math 6263 Testing Statistical Hypotheses
 Math 4317 Real Analysis
 ISyE 7405 Multivariate Data Analysis
 ISyE 6761 Stochastic Processes I
 ISyE 6762 Stochastic Processes II
 ISyE 6781 Reliability Theory
METHODS (select 6 hrs)
 ISyE 6404 Nonparametric Data Analysis
 ISyE 6405 Statistical Methods for Manufacturing Design and
Improvement
 ISyE 6805 Reliability Engineering
 ISyE 6402 Time-Series Analysis
 ISyE 6413 Design and Analysis of Experiments
PROBABILITY/STATISTICS ELECTIVE (select 3 hrs)
 ISyE 6650 Probabilistic Models and Their Applications
 ISyE 6644 Simulation
 ISyE 6656 Queueing Theory and Applications
FREE ELECTIVE (3 hrs)
TOTAL HOURS REQUIRED 30