The MS in Statistical Science helps students develop expertise in statistical theory and in applying statistical methods, while stressing rigorous analysis and computing ability. Two concentrations are offered, Modern Statistics and Statistical Data Science.
The curriculum gives systematic training in theory, methods and applications. Graduates are prepared to tackle complex data-driven problems across many disciplines and to enter professional careers in statistics and data science or continue to further graduate study. Dual degree options are listed.
In addition to general graduate admission requirements, applicants should have basic computer literacy and a bachelor's degree that includes a year of calculus and a semester of matrix or linear algebra. Degrees in mathematics, statistics and some engineering fields usually meet this. Course work taken to correct gaps in preparation does not count toward the degree.
Requirements
Admission Requirements: Bachelor's degree from an accredited institution including one year of calculus and one semester of matrix or linear algebra; basic computer literacy.