The department's undergraduate program is one of the oldest in the country. The program focuses on giving students training in applications and theory. A wide range of courses are offered that allow students to focus on areas such as computational statistics, industrial statistics or actuarial science.
The department's graduate program has strengths in industrial, computational, data analytics, applied and traditional statistics. The department offers a focus on environmental statistics and biostatistics. Most graduate students have assistantships that allow them to develop skills as statistical collaborators or teachers.
The department's faculty members are active in a wide variety of both statistical and interdisciplinary research collaborations producing 75 publications in 2014. Statistical research interests range from experimental design, reliability theory, and regression analysis to data visualization, bioinformatics, data analytics, and Bayesian methodology.