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.
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.
- Statistical Science: PhD Admissions and Enrollment Statistics
- Statistical Science: PhD Completion Rate Statistics
- Statistical Science: PhD Time to Degree Statistics
- Statistical Science: PhD Career Outcomes Statistics
Application Deadline: 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
We strongly encourage you to review additional department-specific application guidance from the program to which you are applying: Departmental Application Guidance (Ph.D.)