Graduate Studies
The Department of Statistical Science at Duke University offers graduate study leading to the Ph.D. degree in Statistical Science and, for Ph.D. students in other departments at Duke, the MS degree in Statistical Science. The program offers thorough preparation in the theory and methods of statistics, with major emphases on modern, model-based statistical science, Bayesian and classical approaches to inference, and computational statistics. Students work with some of the world leaders in research in Bayesian statistics, methodology of statistical science, statistical computing and a range of interdisciplinary areas. A hallmark of the program is the integration of interdisciplinary applications into teaching and research at all levels, reflecting the department's broad and deep working relationships with many other disciplines (biomedical sciences, environmental sciences, genomics, engineering, business administration, social sciences, and others). The rich opportunities for students in interdisciplinary statistical research at Duke is complemented by departmental interconnections at the National Institute of Statistical Sciences (NISS) and Statistical and Applied Mathematical Sciences Institute (SAMSI), and summer industrial internships.
For summary listings of graduate courses and related material, explore
- Summary list of graduate courses
- Descriptions of graduate courses
- Current and recent semester course offerings
- Graduate student reading list
- First Year (qualifying) Exams from recent years
- Alums - find out where past Duke Statistics Ph.D. alums and postdoctoral alums are now
- Program flyer
