PhD in Biostatistics

Biostatistics PhD Program: Two Paths

Students with an undergraduate degree, or a master’s in a field other than statistics/biostatistics

In the first year, students who do not hold a master’s degree in statistics/biostatistics will complete required courses in applied and theoretical statistics, along with a course in real analysis. At the end of the first year, there is a written exam covering the theory and methods courses.

During the second year, students may choose from a variety of electives, including PhD-level theory courses and methods courses in (among others) survival analysis, clinical trials, and correlated data.

For students with a master’s degree in statistics/biostatistics

The PhD program is designed so that students with an MS in statistics/biostatistics may complete all required PhD coursework in two years and start their dissertation during their second or third year. During the first PhD year, students who have already taken all pre-recommended coursework during their MS will take two semesters of mathematical statistics and semester courses in linear models, probability models and Bayesian decision theory, plus electives, and then prepare during summer for the preliminary written exam that is given near the end of August.

The second year is for biostatistics electives and the supporting program or minor. Students are encouraged to begin work on their dissertation during the second or early in the third year.