Statistical Science PhD
Program Code: G-STA-PHD
Degree Designation: Doctor of Philosophy
Department: Statistical Science
Website: stat.duke.edu/phd
Program Summary
The Department of Statistical Science at Duke University offers graduate study leading to PhD and MS degrees in statistical science. The PhD 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, computational statistics, and machine learning. A hallmark of the program is the integration of interdisciplinary applications into teaching and research, reflecting the department’s broad and deep engagements in leadership and innovation in statistical science and its intersections with many other areas, including the biomedical sciences, computational sciences, data and information sciences, economic and policy sciences, environmental sciences, engineering, machine learning, physical sciences, and social sciences. The rich opportunities for students in interdisciplinary statistical research at Duke are complemented by opportunities for engagement in research in summer projects with nonprofit agencies, industry, and academia.
For an up-to-date faculty list and description of graduate programs in statistical science visit the website.
Academic Requirements
Maintain a GPA of 3.0 in Core6 courses: STA 702L, 711, 721, 723, 732, 831, and enroll in the seminar course STA 701S
Preliminary Examination: Typically taken in the Fall of the second year, and must be passed by the end of the third year
Teaching Assistant: In years 2+ of PhD studies
Responsible Conduct of Research (RCR) Program
12 hours of RCR training, including Orientation and Graduate School RCR Forum or Departmental RCR Forum events
English Language Requirement (for non-native English-speaking students)
Progress Toward Completion
Satisfactory progress in courses and other program requirements
Annual progress form submitted to DGS before April 15 of each year
Dissertation