Bachelor’s degree in a relevant quantitative field (such as mathematics, statistics, computer science, engineering, economics, physics, etc.) with strong academic performance (minimum GPA 3.0 out of 4.0).
Prerequisite coursework typically includes intermediate calculus, linear algebra, probability & statistics, and programming experience (Python or R). This ensures readiness for core Data Science courses like STAT 611: Statistical Models for Data Science or STAT 628: Data Science Practicum.
Applicants need at least a 3.0 GPA on a 4.0 scale, with grades of B or higher in core and elective coursework counted toward the degree.
