Bachelor’s degree from a recognized university. A quantitative, technical, social science or related background is preferred.
Minimum GPA: At least 3.00 out of 4.0 from an accredited institution.
Prerequisites: Coursework or skills in statistics/statistical thinking, mathematics, computer science/data science, programming, and social science methods (quantitative research). Applicants should demonstrate experience or preparation in data analysis, modeling, and interpretation (e.g., policy, economics, health applications).
