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The data science specialization focuses on the principles, approaches, and practical implementation of methods for processing and deriving insights from data. This program equips students to create innovative techniques for data visualization and modeling, oversee reproducible analytical processes, and work effectively with researchers and data professionals. It provides strong preparation for careers in academia, industry, or government roles involving data visualization, predictive modeling, and statistical analysis.
While the Graduate College mandates a minimum 3.00 GPA for PhD graduation, the Department of Statistics and Actuarial Science sets a stricter requirement of at least 3.40 GPA for the Statistics PhD program. This applies to all degree-required courses as well as any additional relevant coursework.
PhD candidates fulfill core curriculum requirements through one of four focus areas: biostatistics, probability/mathematical statistics, data science, or actuarial science/financial mathematics. Students may supplement their studies with courses or seminars from other departments to connect their specialization with other disciplines, develop computational skills, or acquire foreign language proficiency for accessing international research and scholarly communication.