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The department provides a Master of Science and a Doctor of Philosophy in Statistics, both available through collaboration with the Division of Biostatistics and Epidemiology within the Department of Public Health Sciences, with options tailored for biostatistics students. The M.S. program is highly adaptable, catering to diverse academic interests, making it an excellent supplementary degree for students with strong mathematical backgrounds across various disciplines. This program prepares graduates for applied statistical roles in industry, government, or biostatistics careers.
To earn the degree, students must complete at least 30 credits of graded coursework, including required courses: STAT 6120 (Linear Models), STAT 6190 (Introduction to Mathematical Statistics), STAT 7100 (Introduction to Advanced Statistical Inference), and STAT 7995 (Statistical Consulting). Additionally, they must take four courses from options such as STAT 5160 (Experimental Design), STAT 5330 (Data Mining), STAT 6020 (Monte Carlo Methods), STAT 6130 (Applied Multivariate Statistics), STAT 6140 (Survival Analysis and Reliability), STAT 6170 (Time Series Analysis), STAT 6260 (Categorical Data Analysis), STAT 6250 (Longitudinal Data Analysis), STAT 6390 (Exploratory Data Analysis), STAT 6430 (Statistical Computing), STAT 6440 (Bayesian Methods), STAT 6630 (Statistical Machine Learning), STAT 7180 (Survey Sampling Methods), and STAT 7130 (Generalized Linear Models). Students must also complete two additional courses from this list or from electives including STAT 5310 (Clinical Trials), STAT 5265 (Investment Science I), STAT 5266 (Investment Science II), STAT 5340 (Bootstrap and Other Resampling Methods), STAT 5559 (Modeling in Biology and Medicine), and STAT 8320 (Topics in Biostatistics), with potential substitutions requiring approval from the Director of Graduate Studies and no overlap between 5000- and 6000-level course equivalents.