Program Overview
Overview of the Mathematics Program
The Mathematics program at Tufts University is designed to provide students with a comprehensive education in mathematics, preparing them for careers in academia, industry, and research. The program offers a Doctorate in Mathematics, with a focus on research and academic excellence.
Program Details
- Format: On-campus
- Commitment Options: Full-time
- Average Duration: Varies
- Credits: Varies
- Application Deadlines:
- Fall: Dec 1
- Spring: n/a
- Summer: n/a
Program Outcomes
The PhD in Mathematics consists of preliminary coursework and study, qualifying exams, a candidacy exam with an advisor, and creative research culminating in a written dissertation and defense. All doctoral students must also do some teaching on the way to the PhD.
Upon graduation, students will have an in-depth understanding and mastery of the literature in at least one particular subfield of mathematics (and applied mathematicians will also demonstrate mastery of their area of application). They will also have the skills to develop research proposals, carry out independent research, and present and defend their research work in oral, written, and graphic forms.
Application Requirements
- Application fee
- Resume/CV
- Personal Statement (750 words or less): This statement should include reasons for wanting to pursue graduate study at Tufts and within the Department of Mathematics. Discuss what makes mathematics exciting, and include a description of a math problem or topic that challenged you early in your undergraduate experience.
- Official TOEFL, IELTS, or Duolingo English Test, if applicable
- Transcripts
- Three letters of recommendation
Tuition and Financial Aid
See Tuition and Financial Aid information for GSAS Programs.
Career Outcomes
- Average Salary: $90K - $110K
- Average Age: 27
Faculty
The Mathematics department at Tufts University has a diverse and experienced faculty, with research areas including:
- Algebra, Representation Theory, Algebraic Geometry
- Analysis and PDEs
- Computational and Applied Mathematics
- Dynamical Systems
- Geometric Group Theory and Topology
- Probability
Some of the faculty members and their research areas include:
- Fulton Gonzalez: Noncommutative harmonic analysis, representations of Lie groups, integral geometry, and Radon transforms
- Xiaozhe Hu: Scientific computing and numerical analysis; Parallel multigrid and multilevel methods for large-scale coupled systems; Efficient numerical methods for reservoir simulation, fluid-structure interaction, and other applications
- James Adler: Scientific computing and numerical analysis: Efficient computational methods for complex fluids, plasma physics, electromagnetism, and other physical applications
- Bruce Boghosian: Applied dynamical systems, applied probability theory, kinetic theory, agent-based modeling, mathematical models of the economy, theoretical and computational fluid dynamics, complex systems science, quantum computation
- Christoph Borgers: Anomalous diffusion, mathematical neuroscience
- Corey Bregman: Geometric group theory, low-dimensional topology, CAT(0) spaces
- Boris Hasselblatt: Geometrically motivated hyperbolic dynamics
- Misha Kilmer: Numerical Linear and Multilinear Algebra, Scientific Computing, Image Reconstruction and Restoration
- George McNinch: The structure and representations of algebraic groups
- Elizabeth Newman: No research areas specified
- Samantha Petti: Computational biology, algorithms, probability, fitness landscapes, evolution, protein structure, statistical inference
- Kim Ruane: Geometric Group Theory/Topology
- Montserrat Teixidor I Bigas: Vector bundles and their applications in physics
- Loring Tu: Algebraic geometry, topology, and differential geometry
- Genevieve Walsh: Hyperbolic manifolds and orbifolds, low-dimensional topology, group actions
Related Programs
- Mathematics (Master's): 2 years, full-time or part-time, on-campus, 30 credits
- Mathematics - Post-Baccalaureate Certificate: 1 year, part-time, on-campus or online, 12-16 credits