Learning Outcomes

Statistics MS

A core foundation in probability theory, theoretical statistics, applied statistics, and stochastic processes. The purpose of the master's program is to further develop knowledge and skills in Statistics and to prepare students for a professional career or doctoral studies. This is achieved through completion of courses, in the primary field as well as related areas, and opportunity to gain experience with independent work and specialization.

Data Science subplan

The Data Science subplan develops strong mathematical, statistical, and computational and programming skills through the general master's core and programming requirements. In addition, it provides a fundamental data science education through general and focused electives requirement from courses in data sciences and related areas. Course choices are limited to predefined courses from the data sciences and related courses group. The final requirement is a practical component to be completed through capstone project, data science clinic, or other courses that have strong hands-on or practical component, such as statistical consulting.

The Data Science subplan is printed on the student transcript and diploma.