Statistics

Master of Science

Students are expected to complete a minimum of 30 credits of graded coursework, including STAT 5430 (Statistical Computing with SAS and R), 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 three courses from among STAT 6130, STAT 6160, STAT 6170, STAT 6250, STAT 6260, STAT 6440, STAT 7180, and STAT 7130; and a minimum of two courses from among STAT 5310, STAT 5140, STAT 5330, STAT 5265, STAT 5266, STAT 5340, STAT 5630, and STAT 8320, 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 qualify for the concentration in Biostatistics are expected to complete STAT 5140 and either STAT 5310, STAT 8320 or PHS 7950.

Students who wish to complete the concentration in Data-Analytic Methods are expected to complete STAT 6130; STAT 5330 or SYS 6018; and CS 5014.  Students in this concentration may substitute SYS 6016 for STAT 5630 and SYS 6018 for STAT 5330.

Students are expected to pass a Computer Language Exam 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 47 credits of graded coursework, including STAT 5430 (Statistical Computing with SAS and R), STAT 6120 (Linear Models), STAT 6190 (Introduction to Mathematical Statistics), STAT 7100 (Introduction to Advanced Statistical Inference), STAT 7995 (Statistical Consulting), CS 5014 (Computation as a Research Tool), STAT 6510 (Advanced Data Experience), STAT 6520 (Statistical Literature), STAT 7200 (Introduction to Advanced Probability), STAT 7510 (Advanced Inference) and STAT 7520 (Advanced Probability); a minimum of four courses from among STAT 6130 (Applied Multivariate Statistics), STAT 6160 (Experimental Design), STAT 6170 (Applied Times Series), STAT 6250 (Longitudinal Data Analysis), STAT 6260 (Categorical Data Analysis), STAT 6440 (Bayesian Methods), STAT 7180 (Sample Surveys), and STAT 7130 (Generalized Linear Models); and a minimum of two courses from among STAT 5310 (Clinical Trials Methodology), STAT 5140 (Survival Analysis and Reliability Theory), STAT 5330 (Data Mining), STAT 5265 (Investment Science I), STAT 5266 (Investment Science II), STAT 5340 (Bootstrap), STAT 5630 (Statistical Machine Learning), 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 who wish to complete the concentration in Biostatistics are expected to complete STAT 5140 and either STAT 5310, STAT 8320 or PHS 7950.

Students are expected to pass a Computer Language Exam before the start of the third year. A student who fails the Computer Language Exam may sit for the examination again at the discretion of the faulty.

Students are expected to pass the Theory portion of the Ph.D. General Exam before the start of the third year and may take this portion of the exam at most twice.

Students are expected to pass the Applied Research portion of the Ph.D. General Exam before the start of the fourth year and may take this portion of the exam 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 portion of the exam at most twice.

Students are expected to write and defend a dissertation.