The Mathematics Department at Princeton University offers a Ph.D. program designed for students passionate about advancing the field of mathematics. The program focuses on rigorous training and research, preparing graduates for academic and research careers. The curriculum is structured over approximately four years, with the possibility of a fifth year based on satisfactory progress and continued need for study. The department encourages applications from students with diverse academic backgrounds and has no rigid course prerequisites, offering a wide range of graduate-level courses to support varied academic directions. International students are encouraged to apply.
The Admission Committee thoroughly evaluates all aspects of each application, including research experience, academic performance, and letters of recommendation. Promising applicants may be invited for an interview. If your interest is in applied and computational mathematics, you must apply directly to the Program in Applied and Computational Mathematics (PACM).
All admitted students receive tuition, health insurance, and a generous stipend. The stipend for the 2025-2026 academic year is $54,216.
The application deadline for Fall admission is December 15. Interviews for promising candidates are typically held in January or February.
The program is designed to be completed in approximately four years, with an option for a fifth year if satisfactory progress is made and additional study is needed.
Yes, all admitted students receive full tuition, health insurance, and a generous stipend. For the 2025-2026 academic year, the stipend is $54,216.
No, the program does not have rigid course prerequisites and encourages students with diverse academic backgrounds. A wide range of graduate courses are available to support varied academic directions.
English proficiency tests such as TOEFL, IELTS, or DET are required if applicable. Specific score requirements are not provided and should be referred to the Graduate School policy.
Graduates of the Ph.D. program are well-prepared for careers in academia and research.