Ph.D. In Mathematics - Statistics Emphasis
The Department of Mathematics and Statistics has adopted the following course requirements for the Ph.D. degree. Any of these courses may be a part of the M.S. program, since Missouri S&T courses taken for the M.S. degree may be included in the Ph.D. program of studies.
A Ph.D. program with emphasis in statistics must include:
- Required Courses
MATH 5108 or MATH 6108
STAT 5290 (Computational Bayesian Methods using Python),
MATH 5215 (Introduction to Real Analysis),
STAT 5346 (Regression Analysis)
STAT 5643 (Probability and Statistics)
STAT 5644 (Mathematical Statistics)
STAT 6343 (Nonparametric Statistical Methods),
STAT 6553 (Linear Statistical Models I),
STAT 6557 (Advanced Statistical Inference I),
STAT 6558 (Advanced Statistical Inference II),
STAT 6545 (Multivariate Analysis). - Other requirements:
The student must also take three (3) approved 5000 or 6000 level courses (one of which must be a 6000 level course).
All students who intend to pursue the Ph.D. degree must take the Ph.D. Qualifying Examination within the first few semesters of entering our program. At this time the student also should identify an area of emphasis. A typical program of study for a Ph.D. student in statistics includes at least 72 hours (90 is more common) of graduate work beyond the bachelor's degree, consisting of coursework and research. In addition, there is a Ph.D. Comprehensive Examination and the Ph.D. Thesis Defense. Please see the Graduate Catalog for more details.
(Revised 5/12/20)