For more information contact
Director of Graduate Studies
Department of Statistical Science
Durham, NC 27708-0251
Contact: Director of Graduate Studies (for PhD) firstname.lastname@example.org
PhD Program: https://stat.duke.edu/phd-program.html
Contact: MS Director (for MSS) email@example.com
Master's Program: https://stat.duke.edu/ms/mss/program-requirements
General InformationDegree offered:
The Department of Statistical Science admits students to graduate study leading to the Ph.D. degree in Statistical Science and the M.S. degree in Statistical Science.
The Ph.D. in Statistical Science offers thorough preparation in the foundations theory and methods of statistical science--emphasizing modern, stochastic model-based statistical science, and Bayesian and classical approaches to inference, predictive modeling, advanced computational statistics and interdisciplinary applications. Students work with some of the world leaders in research in Bayesian statistics, methodology of statistical science, statistical computing, machine learning and data science, and applications in many fields. Our Ph.D. graduates are strongly recruited for positions in leading academic departments and centers, as well as research positions in business, industry and government.
The M.S. in Statistical Science offers comprehensive education in modern statistical theory, methods and computation. Courses and project work emphasize stochastic model-based approaches to problems of inference and prediction, highlighting Bayesian and machine learning methods. Students develop skills and expertise in modeling complex and potentially massive data and advanced computational methods while gaining exposure to a broad range of application contexts. Our M.S. programs are attractive to students interested in professional careers in industry, business and government, as well as those interested in bridging to Ph.D. studies in statistics and related areas.
A hallmark of all Statistical Science programs 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, business, computational and data sciences, economics and finance, engineering sciences, environmental sciences, genomics and system biology, political and policy sciences, and others). The rich opportunities for students in interdisciplinary statistical research at Duke are complemented by departmental interconnections with industrial research laboratories, government agencies, and commercial and non-profit organizations both nationwide and worldwide. These lead to opportunities for research travel and regular student internships, as well as follow-on research careers. In addition, students have opportunities for collaborative research experiences at the US national Statistical and Applied Mathematical Sciences Institute (SAMSI) and National Institute of Statistical Sciences (NISS) on a regular basis.