Bachelor’s degree (or equivalent) in engineering, computer science, physical science, mathematics, economics, or similar quantitative background.
Minimum GPA: 3.0 out of 4.0. Stronger candidates often have 3.2+ GPA.
Subject prerequisites (with minimum B‑ grade, i.e. ≥ “B‑”): Data Structures (CSCI261 & CSCI262), Linear Algebra (e.g. MATH332), Probability (e.g. MATH334),Calculus II & III, and familiarity with programming (R, Python, etc.).