Applications for the M.S. programs are due by January 1 for enrollment in that year's fall class.
To apply for our graduate programs, you should complete the online application at the Graduate School.
Limited financial aid is available for strong competitive applications. Two Statistical Science MS Fellowships (covering up to 80% tuition) available for outstanding underrepresented minority applicants. No application is required to qualify for financial aid. The Department will offer financial aid to meritorious applicants with admission decisions.
An applicant may request a short interview with the MS Director (firstname.lastname@example.org) once they have successfully submitted all their application materials. The goal for the interview will be for the candidate to point out the unique aspects of their application and their candidature for admission. This is also an opportunity for prospective students to ask their most pertinent questions. Each interview is only 15 minutes. An interview does not guarantee admission into the program. The interview comments will be submitted along with the application materials to the Master's Admission Committee who will make the final admission decisions.
Applications will be reviewed in January and February and admission decisions are made beginning mid to late February through March. Only complete applications will be reviewed by the MS admissions committee. Wait-listed applicants will hear about the final admission decisions by April first week.
All applicants must satisfy all basic requirements of the Duke Graduate School, including GRE and English language prerequisites. Further information regarding the application process and requirements is available from the Graduate School web site above or by mail:
Graduate School Admissions Office
2127 Campus Drive
Durham, NC 27708-0065
phone/fax: (919) 684-3913/2277
M.S. applicants should have a strong technical background, which includes:
- Two semesters of an undergraduate, calculus-based probability and mathematical statistics sequence; One course in matrix algebra; One course in applied regression analysis; Some basic experience with computation and data analysis
- Prior exposure to formal programming, using one or more of C, python, java, R, Matlab, etc., is highly desirable
- Exceptional students who may not have this complete list of prerequisites but have compelling applications otherwise may be admitted but will be required to complete additional intro-level courses
For answers to other commonly asked questions about admission, please see our M.S. Frequently Asked Questions.