Applications for the M.S. programs are due by January 4 for enrollment in that year's fall class.
To apply for our graduate programs, you should complete the Graduate School's online application.
- Answers to many questions can be found in the Graduate School's FAQs, and in the M.S. Program's FAQs.
- The email@example.com email address is to be used only by applicants sending documents for their applications
The Department offers generous financial aid packages to a number of solid, competitive applications. The financial aid package includes tuition reduction and guaranteed Teaching Assistantships during the four semesters of the MS program. MS fellowships are especially available for applicants from historically excluded groups; for this, a diversity statement is strongly encouraged. No additional application is required to qualify for financial aid. See below for what some of our financial aid recipients say about our program:
|"Joining the MSS program at Duke has been one of the best decisions I’ve ever made. The program is so well-structured that I not only am able to learn about the advanced theoretical knowledge in depth through the courses taught by our fantastic faculty members but also get the chance to get hands-on experience in statistics and machine learning through courses and capstone projects. In addition, the program also provides tons of professional development resources such as info sessions for potential recruiters and networking events with alumni who are very experienced in the industry. I really appreciate all the support I received from the department throughout my entire application process for internships and full-time jobs. Overall, my experience with the MSS program is very positive. I can grow both professionally and personally thanks to the help and support from the program." – Ranxin “Nancy” Huang, MSS 2023|
|"From the moment I visited Duke’s campus, I felt beyond welcomed by the MSS students and professors, which echoed in the plethora of support I have received as a student here. Within my first few weeks, I had the opportunity to meet industry recruiters and craft my resume with a professional one-on-one. While I wouldn’t have been able to afford an education of this caliber, the program was able to make a generous financial aid offer, including a TA stipend, allowing me to choose Duke without tuition being a predominant concern. The Masters of Statistical Science program truly invests in its students, and with its incredibly structured and tailored curriculum, I have no doubt regarding my own and my peers’ successes in our future endeavors." – Natalie Smith, MSS 2024|
|"The MSS program is special because it helps students develop strong theoretical skills and an intuitive understanding of how to approach statistical problems while letting each student tailor their curriculum to their own interests. I was able to supplement the statistical science courses with related courses in other departments such as computer vision and an independent study with a statistical science professor focusing on environmental and biomedical data. The MSS program also offers substantial financial aid and opportunities to TA which make the program much more affordable than most Master’s programs in the field." – Alison Reynolds, MSS 2023|
|"While looking to make a switch from education to data science, I was drawn to the MSS program's generous financial aid offering. As a member of this community, I have enjoyed meeting peers from diverse backgrounds and learning from world-class faculty. The statistical rigor of my courses enables me to think critically and carefully assess model assumptions when applying a method to a real-life problem. I have also benefitted from the rich alumni network and career-focused modules in my search for industry placements. I certainly would not have enjoyed these privileges if I did not receive financial aid from the MSS program. I am grateful to the program for investing in diversity and creating paths for people of all backgrounds to realize their dreams." – Joseph Ekpenyong, MSS 2023|
|"The combination of strong theoretical foundations and applied experiences, the freedom to pursue your own passions and interests, and the vast number of resources at your disposal make this program an excellent way to kickstart your career as a statistician or pursue further education in the field." – Jose Pliego San Martin, MSS 2023|
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 the last week of April.
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 introductory-level courses
The department cannot provide any admissions counseling, such as advising or assessing an applicant's qualifications, and therefore does not respond to such requests. Applicants must determine eligibility before starting the application.
For answers to other commonly asked questions about admission, please see our M.S. Frequently Asked Questions.