Applied Mathematics

Prospective Ph.D. Students

Get to know us: Virtual Open House for Prospective PhD Students

Students who are considering doctoral programs in applied mathematics, statistics, and related fields are encouraged to attend a virtual workshop to learn more about the Division of Applied Mathematics at Brown University. Our graduate program provides training and research activities in a broad spectrum of applied mathematics, including ordinary, functional, and partial differential equations, combinatorics, probability and stochastic systems theory, statistics and machine learning, numerical analysis and scientific computing, and pattern theory, including computational/mathematical biology and brain science. The effort in virtually all of these research areas ranges from applied and algorithmic problems to the study of fundamental mathematical questions. Many of our faculty are engaged in interdisciplinary research collaborations with colleagues at Brown or elsewhere. This breadth is one of the great strengths of our doctoral program and is further reflected in the courses we offer. Brown offers full financial support for five years, including full summer support, and generous health benefits. Students from underrepresented groups are especially encouraged to apply.  Please fill out the google form linked, and we will forward more information as the event draws closer.

Event Details

Date: Saturday, October 18, 2025

Time: 3:30 PM – 6 PM (Eastern Time)

Platform: Zoom (link to be provided after registration)

Tentative Schedule

  • 3:30 PM - 5 PM: Program Overview & Faculty Research Talks

    • Introduction by the Director of Graduate Studies

    • Present an overview of their research.

  • 5 PM - 6 PM: Q&A Panel

    • Senior faculty and current Ph.D. students will answer any questions you may have about the program, research opportunities, and life at Brown.

How to Register:

Once the event is scheduled we will post a Google Form to this page so you may express your interest and receive more information as the event approaches.  We look forward to meeting you and helping you explore all the possibilities that await at Brown University!

Applied Mathematics Ph.D. Program

The Division of Applied Mathematics is devoted to research, education and scholarship. Our faculty engages in research in a range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. By its nature, our work is and always has been inter– and multidisciplinary. Among the research areas represented in the division are dynamical systems and partial differential equations, control theory, probability and stochastic processes, numerical analysis and scientific computing, fluid mechanics, computational biology, statistics, and pattern theory. Our graduate program in applied mathematics includes around 50 Ph.D. students, with many of them working on interdisciplinary projects. Joint research projects exist with faculty in various biology and life sciences departments and the departments of Chemistry, Computer Science, Cognitive and Linguistic Sciences, Earth, Environmental, and Planetary Sciences, Engineering, Mathematics, Physics and Neuroscience, as well as with faculty in the Warren Alpert Medical School of Brown University.

How to Apply

Please visit our webpage on the Graduate School for information and guidance on the application process, all relevant deadlines, and required materials. 

Inquire or Apply to our Ph.D. Program

  • Applied Math code for GRE: 3094
  • Applied Math code for TOEFL: 3094
  • Brown University code for ETS: 3094

Ph.D. Program in Computational Biology

The Division of Applied Mathematics is one of four Brown academic units that contribute to the doctoral program administered by the Center for Computational Molecular Biology. Graduate students in this program who choose applied mathematics as their home department will receive a PhD in Applied Mathematics (with Computational Biology Annotation). For further information about this program, including the application process, please visit the CCMB Graduate Program page.

Frequently Asked Questions