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The Ph.D. program provides specialized focus areas such as: General Statistical Methodology and Theory, Statistics for Business, Government, and Industry, Biostatistics, Computational Statistics, Environmental Statistics, and Sports Analytics. The General Statistical Methodology and Theory concentration focuses on broad research in statistical theory and methods, offering flexibility in selecting courses both within and outside the department. To complete the Ph.D., students must fulfill a minimum of 90 semester hours post-baccalaureate, comprising at least 48 hours of coursework and 30 hours dedicated to dissertation research. Beyond the M.S. core requirements (or equivalent for transfer students), doctoral candidates must complete four advanced Ph.D. courses, including either Measure and Probability (STAT 6105) or Advanced Topics in Statistical Inference (STAT 6114). All Ph.D. candidates are required to successfully pass the doctoral qualifying examination.