Educational background: A 4‑year bachelor’s degree (or equivalent) in any discipline is acceptable; quantitative, engineering, computer science, or health science backgrounds are preferred but not mandatory.
GPA: Minimum 3.0 out of 4.0 in the last 60 credit hours of undergraduate study; lower GPAs may be considered if balanced with strong work or academic experience.
Prerequisites: Familiarity with Python and/or R, basic programming and statistics is preferred. Applicants without experience can join pre-semester boot camps in Python/R to get prepared.
