Program Overview

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The PhD in Statistical Science is meant to give students both a strong background in statistics and a working knowledge in a secondary field. Applicants are expected to have a B.S. in statistics, mathematics, or a similar field with courses taken in probability theory and mathematical statistics/statistical theory. Core and elective statistics classes offered through the Department of Mathematics & Statistics are taken in addition to classes from a partnering allied department, such as Biology, Economics, Education, Mathematics, or Psychology. At least one member of the student’s committee is encouraged to be from the appropriate allied department in the student’s field of research. This creates an interdisciplinary curriculum designed to teach students to develop new statistical methods to solve real life problems that arise in their chosen area of concentration.

Core Statistics Courses:

Stat 548 Statistical Theory I (Advanced Probability)

Stat 549 Statistical Theory II (Advanced Inference)

Stat 536 Statistical Computing

Stat 533 Theory of Linear Models

Stat 574 Linear and Non-linear Mixed Models

Stat 575 Theory of Multivariate Analysis