Admission Requirements

Bachelor's Degree

In engineering, computer science, physical sciences, mathematics, economics or equivalent quantitative coursework, with a minimum grade-point average on 3.0 on a 4.0 scale. In preparation for the programming, probability and mathematical foundation required to succeed in the program, we recommend applicants have taken MATH 332 – LINEAR ALGEBRA, MATH 334 – INTRODUCTION TO PROBABILTY, and CSCI 261 – PROGRAMMING CONCEPTS, or comparable courses elsewhere. Some graduate certificate programs have additional prerequisites, refer to the Programs page. 

For additional admissions requirements, please reference the data science program’s graduate admissions webpage.