Carnegie Mellon University

CMU's mathematics doctoral programs are organized around the research strengths of the department, including both longstanding and emerging strengths in areas such as algebra and number theory, combinatorics, geometry, logic, mathematical finance, numerical analysis, probability, pure and applied analysis, and topology. Our faculty and graduate students are not only producing original mathematics but also engaging in interdisciplinary research with a number of partners across the Carnegie Mellon campus.

Doctoral Programs

CMU MCS Math Tom Reiter
Research Data Dynamics

The primary intent of our graduate program is to train mathematical scientists for a variety of career opportunities. Our graduates pursue research and teaching careers in traditional university settings, conduct research in industrial and government laboratories, and work in the information technology and financial industries.

Our graduate program emphasizes basic mathematical training, with specific applications introduced later. Specialized courses are offered both in this Department and in the Department of Statistics, School of Computer Science, and the Tepper School of Business.  Each component of our graduate program appears high in national rankings.

Areas of Research

At CMU, we provide the sort of individual attention larger institutions may not offer. Our Department has about 35 faculty members and 45-50 graduate students. The small student/faculty ratio promotes close contact between student and faculty and allows the faculty to assist students in pursuing their career goals.

Faculty Profiles

Professor Po Shen Lo
Students at CMU

In admitting students to our program, we are not greatly influenced by the major subject of an applicant's bachelor's degree. Several of our recent graduates entered with engineering, science, and finance degrees. Primarily we seek students with genuine talent and interest in the mathematical sciences.

Recent Graduates