Yale Math Phd

The Yale University Mathematics PhD program is a highly prestigious and competitive graduate program that attracts top talent from around the world. The program is designed to provide students with a deep understanding of mathematical concepts, as well as the skills and knowledge needed to conduct original research in mathematics. Yale's math department is known for its strengths in a wide range of areas, including algebraic geometry, number theory, and partial differential equations.
Admissions and Program Overview

To be considered for admission to the Yale Math PhD program, applicants must have a strong background in mathematics, as well as a bachelor’s or master’s degree from an accredited institution. The admissions process is highly competitive, with only a small number of students accepted each year. Once admitted, students typically spend the first two years of the program taking advanced courses and passing qualifying exams in their chosen area of specialization. After completing these requirements, students begin working on their dissertation research under the guidance of a faculty advisor.
Research Areas and Faculty
The Yale math department has a diverse range of research areas, including algebraic geometry, number theory, and partial differential equations. The department is home to many renowned mathematicians, including professors who have made significant contributions to their fields. Some of the current research areas and faculty in the Yale math department include:
Research Area | Faculty |
---|---|
Algebraic Geometry | Prof. Joseph Harris, Prof. Radu Laza |
Number Theory | Prof. Hee Oh, Prof. Andrew Sutherland |
Partial Differential Equations | Prof. Charles Fefferman, Prof. Vladimir Sverak |

Curriculum and Coursework

The Yale Math PhD program is designed to provide students with a broad foundation in mathematics, as well as specialized knowledge in their chosen area of research. The curriculum includes a range of advanced courses, including:
- Algebraic Geometry: Algebraic Curves, Algebraic Surfaces
- Number Theory: Elliptic Curves, Modular Forms
- Partial Differential Equations: Linear PDEs, Nonlinear PDEs
In addition to coursework, students are also required to pass qualifying exams in their chosen area of specialization. These exams are designed to test students' knowledge and understanding of key concepts and techniques in their field.
Qualifying Exams and Dissertation Research
The qualifying exams are typically taken at the end of the second year of the program. After passing the qualifying exams, students begin working on their dissertation research under the guidance of a faculty advisor. The dissertation is a significant piece of original research that contributes to the field of mathematics. Students typically spend 2-3 years working on their dissertation research, during which time they receive close mentorship and support from their advisor and other faculty members.
What are the admission requirements for the Yale Math PhD program?
+To be considered for admission to the Yale Math PhD program, applicants must have a strong background in mathematics, as well as a bachelor's or master's degree from an accredited institution. Applicants must also submit transcripts, letters of recommendation, and a personal statement.
How long does it take to complete the Yale Math PhD program?
+The Yale Math PhD program typically takes 4-6 years to complete, depending on the student's background and research progress. The first two years of the program are spent taking advanced courses and passing qualifying exams, while the remaining years are spent working on dissertation research.
In conclusion, the Yale Math PhD program is a highly prestigious and competitive graduate program that provides students with a deep understanding of mathematical concepts, as well as the skills and knowledge needed to conduct original research in mathematics. With its strong faculty, diverse research areas, and rigorous curriculum, the program is an ideal choice for students who wish to pursue a career in mathematics.