Minimum GPA: 3.0 out of 4.0 is required, with rare exceptions for candidates with outstanding backgrounds.
Bachelor’s background: Accepts students from diverse bachelor’s degrees (e.g. engineering, mathematics, statistics, computer science, economics). Admissions emphasise analytical and quantitative proficiency over major.
Prerequisite coursework (typically completed during undergrad): At least 1 semester calculus (MATH 0090 & 0100 level or equivalent), 1 semester linear algebra (MATH 0520 level), 1 semester calculus‑based probability & statistics (APMA 1650), Introductory programming (CSCI 0150 or 0170 level), Must be familiar with Python or R and able to write code.
