Graduate Programs in Statistics

The Department of Mathematics and Statistics offers a number of programs for graduate-level training in probability, statistical theory, and the practice of statistics and data science.

The Master of Science in Statistical Practice (MSSP) is designed for individuals looking to acquire fundamental training in statistics and its practice in fields as diverse as economics, education, science, athletics, finance, law, and management. At the heart of the program, a two-semester practicum course combines pedagogy with supervised consulting and integrated group projects with government/industry partners, centered around a focus on the developing role of statisticians in the world of data science.

The Master of Arts Program in statistics provides advanced preparation in fundamental statistical theory and methods through a combination of traditional courses and electives in addition to modern topics in computation and data science. The program prepares students for positions in the fields of education or industry, or for future graduate study leading to a PhD.

The Ph.D. Program in statistics prepares students for a career pursuing research in either academia or industry.  The program provides rigorous classroom training in the theory, methodology, and application of statistics, and provides the opportunity to work with faculty on advanced research topics over a wide range of theory and application areas. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline.