Master of Science
Students are expected to complete a minimum of 30 credits of graded coursework, STAT 6120 (Linear Models), STAT 6190 (Introduction to Mathematical Statistics), STAT 7100 (Introduction to Advanced Statistical Inference), and STAT 7995 (Statistical Consulting); a minimum of four courses from among 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); and a minimum of two additional courses from that same list or from among 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 substitutions subject to approval by the Director of Graduate Studies and no duplication between 5000- and 6000-level versions of the same topic.
Students who wish to complete the concentration in Data-Analytic Methods are expected to complete STAT 5330, STAT 6130, STAT 6630, and STAT 5430. Students in this concentration may substitute SYS 6016 for STAT 6630 and SYS 6018 for STAT 5330.
Students who wish to complete the concentation in Biostatistics are expected to to complete STAT 5140/6140, STAT 6260, STAT 6250 and STAT 5160/6160. Four electives will be required with at least three of the being: STAT 5310, STAT 5430/6130, STAT 6130, STAT 6440.
Students are expected to pass a Computer Skills Confirmation Test and a Master’s Final Exam. A student who fails either examination may petition the faculty for a second attempt.