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The Department of Statistics provides a diverse selection of courses and seminars covering nearly all areas of statistical theory and practice. The PhD curriculum delivers comprehensive education in contemporary statistical methodologies, equipping students to conduct independent research. Graduates pursue careers in academic institutions, private industry, or public sector roles, with most completing the program within five years.
Students may choose a biostatistics specialization within the PhD program, which has modified course requirements, though switching between tracks after admission is permitted. Applicants are considered collectively for all PhD options during admissions, eliminating the need for multiple applications.
The department is committed to assisting PhD candidates through teaching, research, or project-based assistantship opportunities.
Extensive computational resources, including hardware and specialized software, support both teaching and research activities within the Statistics Department. Advanced computing labs feature high-performance workstations for cutting-edge research in statistical computing and visualization. A wide array of statistical software packages and programming libraries are accessible across multiple platforms.