MA/MS in Statistics

This M.S. in applied statistics and analytics is a program of 30 to 33 credits taught on the Main Campus. It trains students to extract useful conclusions from large and messy data sets. Skills developed include applied statistics, programming, predictive modeling and data science, together with teamwork and clear communication. Subjects such as data management, analytics at scale and machine learning are covered, and most courses involve a project lasting the whole semester. Many of these projects are displayed at the university's annual research and creative exhibition. Thanks to a tie with the SAS Institute, students can work toward two SAS credentials, one in base programming and one in predictive modeling. Faculty expertise includes actuarial and risk analysis, Bayesian methods and data mining. Qualified students may receive teaching assistantships. Admission is rolling, scholarship priority falls on February 15, and students can enter in the fall or spring terms.