Job Description
Duke University offers a fully funded Ph.D. program in Statistical Science through its Department of Statistical Science. The program provides comprehensive financial support to admitted students, encompassing tuition, fees, a competitive stipend, and health insurance.
Program Overview
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Degree: Ph.D. in Statistical Science
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Institution: Duke University
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Department: Statistical Science
The program emphasizes modern statistical methodologies, including Bayesian and classical approaches, stochastic modeling, computational statistics, and interdisciplinary applications across fields such as biomedical sciences, environmental sciences, genomics, computer science, engineering, finance, neuroscience, and social sciences. Students engage in a broad range of research experiences, fostering conceptual innovation and a deep foundation in theory and methods.
Funding Package
All admitted Ph.D. students receive financial support for at least five years, contingent upon satisfactory academic progress and performance of assistantship duties. The funding package includes:stat.duke.edu
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Tuition and Fees: Full coverage
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Stipend: An annual 12-month stipend, with amounts set by The Graduate School (e.g., $40,000 for the 2024–2025 academic year)
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Health Insurance: Full coverage of medical and dental insurance premiums for the first six years
The stipend is typically funded through a combination of fellowships and assistantships:
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Fellowships: Approximately half of the financial aid is provided as a fellowship, requiring only that students maintain good academic standing.
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Assistantships: The remaining portion is contingent upon serving as a Teaching Assistant (TA) or Research Assistant (RA), offering valuable teaching and research experience.
Summer funding is also available through various sources, including departmental assistantships, research projects, and external internships with organizations such as AT&T Research, Google Research, and Novartis Pharmaceuticals.
Admission Requirements
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Academic Background: A strong foundation in mathematics and statistics, including coursework in multivariate calculus, linear algebra, real analysis, probability, statistical inference, and experience with scientific computing and programming.
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Application Materials:
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Online application form
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Official transcripts from all post-secondary institutions attended
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Three letters of recommendation
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Statement of purpose outlining research interests and career goals
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Resume or curriculum vitae (CV)
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Standardized Tests: GRE scores are optional
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English Proficiency: TOEFL or IELTS scores are required for non-native English speakers unless they have completed a degree at an institution where English is the primary language of instruction
Applicants are encouraged to review the specific admission requirements on the program’s website or contact the department directly for the most current information.
