Applicants must hold a relevant bachelor’s degree (any discipline is accepted), with strong quantitative skills from fields like computer science, engineering, mathematics, statistics, economics, or similar.
Minimum GPA: 3.0 out of 4.0, preferably higher depending on course rigor and transcript specifics.
Prerequisite coursework (minimum grade B+ or A‑):
Programming & Data Structures (e.g. CIS 1200 or CIT 591, CIS 5960),
Probability / Statistics (ENM 503, STAT 510 or MATH 546),
Machine Learning or Big Data Analytics course (CIS 519 or CIS 545)
Solid foundation in linear algebra, optimization, mathematics and statistics is strongly preferred.
