The goal of these reviews is to provide feedback to candidates on their chance of successfully earning a Ph.D. in our department. In addition, candidates must have either passed the M.S. comprehensive exam or completed an M.S. thesis in Statistics here or at another university. Candidates should request a review as soon as possible after completing the above requirements. Although the Ph.D. candidacy review is not mandatory, candidates who fail to request a review promptly might not receive a renewal of financial support. The Ph.D. program prepares students for careers in research, applications, and teaching.
Students select one of four possible areas of concentration for their course work.
These areas of concentration are briefly described below. Biostatistics emphasizes an exposure to various biostatistical methods such as survival analysis, categorical data analysis, and longitudinal data analysis. It prepares students for consulting and other positions in industry. It emphasizes both breadth and depth of training and is intended to produce well-rounded, knowledgeable scholars. Statistical Modeling emphasizes the theory and application of a broad array of statistical models, such as linear, generalized linear, nonlinear, categorical, spatial, correlated response, and nonparametric regression models.