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The Biostatistics PhD program combines classroom instruction with hands-on experience. During the first two years, students engage in rigorous coursework covering fundamental mathematical statistics and biostatistics principles, supplemented by electives in mathematics, computer science, and life sciences. Core classes feature practical projects in statistical theory and data analysis while teaching reproducible research methods through literate programming. In their second year, students complete Biostatistics Rotations guided by faculty mentors, working with real-world biomedical or public health data and delivering both oral and written reports. By the conclusion of year 2, each student chooses a primary faculty advisor. Years 3 and 4 focus on specialized biomedical training alongside ongoing participation in seminars and journal club discussions. The doctoral dissertation, typically finished between years 3-5, must present novel research worthy of publication in biostatistics journals, either advancing statistical methodology or applying biostatistical approaches to significant problems in related fields.