Statistics

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 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 CS 5014.  Students in this concentration may substitute SYS 6016 for STAT 6630 and SYS 6018 for STAT 5330.

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.

Doctor of Philosophy

Of the 72 credits required for the doctoral degree, students are expected to complete a minimum of 44 credits of graded coursework, including STAT 6120 (Linear Models), STAT 6190 (Introduction to Mathematical Statistics), STAT 7100 (Introduction to Advanced Statistical Inference), STAT 6510 (Skills in Statistical Research), STAT 6520 (Statistical Literature and Research Writing), STAT 7200 (Introduction to Advanced Probability), STAT 7510 (Advanced Inference) and STAT 7520 (Advanced Probability); a minimum of six courses from among STAT 5160 (Experimental Design), STAT 5330 (Data Mining), 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). Substitutions are subject to approval by the Director of Graduate Studies, and duplications are not allowed between 5000- and 6000-level versions of the same topic.

Students are expected to pass a Computer Skills Confirmation Test in the first year. A student who fails the Computer Skills Confirmation Test may sit for the examination again at the discretion of the faulty.

Students are expected to pass both the Ph.D. Qualifying Examination in Fundamental Knowledge and the Ph.D. Qualifying Examination in Research Skills before the start of the third year and may take either of these exams at most twice.

Students are expected to complete all requirements stated above by the conclusion of the third year of study.

Students are expected to pass the Ph.D. Preliminary Exam, including the defense of a dissertation prospectus, before the start of the fifth year and may take this exam at most twice.

Students are expected to write and defend a dissertation.