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Statistical Science

For more information contact

Director of Graduate Studies
Department of Statistical Science
Duke University
Box 90251
Durham, NC 27708-0251
Phone: (919) 684-8029

Contact: Director of Graduate Studies (for PhD) stat-dgs@duke.edu

PhD Program: https://stat.duke.edu/phd

Contact: MS Director (for MSS) stat-msd@duke.edu

Master's Program: https://stat.duke.edu/ms/mss/program-requirements

General Information

Degree offered:
PhD, MSS
Faculty working with students:
24
Students:
60 Ph.D., 80 MSS
Students receiving Financial Aid:
Yes
Part time study available:
No

Program Description

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 Institute of Statistical Sciences (NISS) on a regular basis.

Statistics

Application Information

Application Terms Available
Fall

Application Deadline
Ph.D and MSS: January 4

Graduate School Application Requirements
See the Application Instructions page for important details about each Graduate School requirement.

  • Transcripts: Unofficial transcripts required with application submission; official transcripts required upon admission
  • Letters of Recommendation: 3 Required
  • Statement of Purpose: Required
  • Résumé: Required
  • GRE Scores: GRE General Required
  • English Language Exam: TOEFL, IELTS, or Duolingo English Test required* for applicants whose first language is not English
    *test waiver may apply for some applicants
  • GPA: Undergraduate GPA calculated on 4.0 scale required

Writing Sample
None required

We strongly encourage you to review additional department-specific application guidance from the program to which you are applying:

Departmental Application Guidance (Ph.D.)

Departmental Application Guidance (MSS)

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