Bachelor’s degree in a relevant field: For the Computational Data Analytics & AI track: degrees in Computer Science, IT, Engineering, Mathematics, Statistics, or related discipline.
For Business Analytics, Biostatistics Analytics, Public Policy Analytics: background appropriate to track, quantitative coursework or work‐experience considered.
Minimum GPA: 3.0 out of 4.0 (“B” average in upper‑division coursework).
Prerequisites: Strong foundation in mathematics/statistics/data science; completion or demonstration of undergraduate coursework in quantitative methods, statistics, programming, etc.
