MS Program Details
Students accepted into the MS degree program will be expected to take a total of 9 courses in a program to be approved by the MS program director and complete a culminating activity project using statistics. Two courses, STAT 320-1* and STAT 320-2*, will ordinarily be required of all students to provide a foundation in statistical theory. The balance of the program will include 7 other courses selected with the advice and approval of the program director, at least four of which must be taught in the department of statistics. The program may be completed entirely from courses taught in the statistics department, but may include up to 3 courses from departments other than statistics with the approval of the program director. Please note: ordinarily the 9 courses used for this MS degree will not count towards the number of courses required for the PhD.
*Students with advanced mathematics may replace STAT 302-1 and STAT 320-2 with STAT 420-1 and STAT 420-2 with department approval.
Samples of Additional Courses:
STAT 301-1 Data Science 1
STAT 325 Survey Sampling
STAT 344 Statistical Computing
STAT 350 Regression Analysis
STAT 454 Time Series Analysis
STAT 315 Causal Inference
STAT 356 Hierarchical Linear Models
STAT 351 Design and Analysis of Experiments
STAT 439 Meta-Analysis
ECON 380 I, II Introduction to Mathematical Economics
ECON 381 I, II Introduction to Econometrics
ECON 401 Mathematical Methods of Economic Theory
Epidemiology and Biostatistics
EPI BIO 501 Advanced Epidemiology
EPI BIO 502 Advanced Biostatistics
POLI SCI 406 Econometrics
POLI SCI 407 Experimental Political Science
PSYCH 405 Psychometric Theory
SOCIOL 404 Designs for Descriptive Causal Research in Field Settings
SOCIOL 476 Statistical Methods for Hierarchical and Panel Data
Full List of Courses:
A full list of courses approved for the MS can be found here
All MS candidates are required to complete a culminating experience project using statistics as part of their degree completion. This project is typically work that will be included in the student’s PhD thesis but can also be a stand-alone project. See Culminating Experience Project for more information.
Students will be expected to submit a plan of study outlining the courses they anticipate taking to complete the MS program and briefly outline ideas for a culminating experience project as part of the application process.
Completing the MS in Statistics Degree
All MS candidates are required to meet the TGS degree requirements and complete a Culminating Experience Project using statistics as part of their MS degree completion. The MS is awarded simultaneously with the PhD. Students may apply for completion of the MS degree in Statistics when all of their PhD degree requirements have been completed. See Completing the MS Degree for more information.
Withdrawing from the MS program
Students accepted into the Ad Hoc MS Statistics program must formally withdraw from the program if they decide not to complete the MS. The form and instructions for withdrawing from the program are found here.
General questions about the program can be directed to the Statistics department administrator, Kisa Kowal, at email@example.com
Please contact the Department of Statistics Master of Science Program Director, Professor Elizabeth Tipton at firstname.lastname@example.org with advising questions or to schedule an advising appointment.Back to top