Bachelor’s degree: from any relevant major (engineering, computer science, life sciences, mathematics, statistics, etc.). Non-CS/data‑science degree holders must show programming/data‑science skills via coursework, research, or job experience.
GPA requirement: Minimum 3.0 on a 4.0 scale in your bachelor’s degree overall.
Prerequisites: Applicants should have background in linear algebra, probability & statistics, machine learning, programming (e.g. Python/R), ideally via coursework or projects. (Common expectations from similar UCLA data science programs).
