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Mathematics

Master's

Overview

Application Requirements

Faculty

Related Programs

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Application Deadlines

Fall: Jan 15
Spring: n/a
Summer: n/a

School/Department

Mathematics

Program Director

James Adler

Format

On-campus

Commitment Options

Full-time
Part-time (Daytime)

Average Duration

2 years

Credits

30 (9 courses)

Contact

gradadmissions@tufts.edu

Overview

Our Master of Science in Mathematics provides you with basic graduate training in mathematics. As a math graduate student, you will choose from a widely ranging program of study that may focus on pure or applied mathematics. The program's flexible coursework is designed to prepare you for employment in areas such as academia, government, business or industry or for further graduate study. You will work with your graduate advisor to design a program of study geared towards your interests and goals.

Program Outcomes

Upon graduation, you will have achieved a mastery of fundamental knowledge in a broad range of mathematical areas as well as a deeper understanding of at least one particular sub-field of mathematics and/or related field. You will hone your ability to solve problems and communicate solutions and concepts clearly and in rigorous mathematical language. Those of you who choose the "Thesis Option" will also be able to demonstrate an ability to present and defend research work in oral, written, and graphic forms.

Graduates of the MS Program have gone on to employment in areas such as academia, government, business or industry or have gone on to be accepted at competitive PhD programs.

Application Requirements

Application fee
Resume/CV
Personal Statement (750 words or fewer): This statement should include your reasons for wanting to pursue graduate study at Tufts and within the Department of Mathematics. Discuss what makes mathematics exciting to you. In addition, please include a description of a math problem or topic that challenged you early in your undergraduate experience. Discuss how you, perhaps with the help of others, overcame those difficulties to understand the problem better and how you presently understand it. Do not be afraid to choose something from a "basic" class like calculus. Your application materials already speak to your achievements; here instead we are interested in hearing about how you have developed your interest in mathematics. Please limit your statement to 750 words or fewer.
Official TOEFL or IELTS, if applicable
Transcripts
Three letters of recommendation

Tuition and Financial Aid

See Tuition and Financial Aid information for GSAS Programs.

Faculty

James Adler

Associate Professor

Scientific computing and numerical analysis: Efficient computational methods for complex fluids, plasma physics, electromagnetism and other physical applications.

Bruce Boghosian

Professor

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 Current research emphasis is on mathematical models of economics in general, and agent-based models of wealth distributions in particular. The group's work has shed new light on the tendency of wealth to concentrate, and has discovered new results for upward mobility, wealth autocorrelation, and the flux of agents and wealth. The group's mathematical description of the phenomenon of oligarchy has also shed new light on functional analysis in general and distribution theory in particular. Secondary projects include new directions in lattice Boltzmann and lattice-gas models of fluid dynamics, kinetic theory, and quantum computation.

Christoph Borgers

Professor

Anomalous diffusion, mathematical neuroscience

Moon Duchin

Professor

Geometry of groups and surfaces

Academic Leave

Fulton Gonzalez

Professor

Noncommutative harmonic analysis, representations of Lie groups, integral geometry, and Radon transforms

Boris Hasselblatt

Professor

Dynamical systems: Hyperbolicity, invariant foliations, geodesic flows, contact flows, and related topics — Hasselblatt's research, undertaken with colleagues from several continents, is in the modern theory of dynamical systems, with an emphasis on hyperbolic phenomena and on geometrically motivated systems. He also writes expository and biographical articles, writes and edits books, and organizes conferences and schools. Information about his publications can be viewed on MathSciNet by those at an institution with a subscription. Former doctoral students of his can be found in academic positions at Northwestern University, George Mason University, the University of New Hampshire, and Queen's University as well as among the winners of the New Horizons in Mathematics Prize.

Xiaozhe Hu

Associate Professor

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.

Misha Kilmer

William Walker Professor of Mathematics

Numerical Linear and Multilinear Algebra, Scientific Computing, Image Reconstruction and Restoration

George McNinch

Professor

The structure and representations of algebraic groups

Kim Ruane

Professor and Department Chair of Mathematics

Geometric Group Theory/Topology

Montserrat Teixidor I Bigas

Professor

To each point on a curve, one can often associate in a natural way a line or plane (or higher dimensional linear variety) that moves with the point in the curve. This set of linear spaces is called a vector bundle. Vector bundles appear in a variety of questions in Physics (like the computation of Gromov-Witten invariants) . Moreover, they provide new insights into old mathematical problems and have been used to give beautiful proofs to long standing conjectures as well as striking counterexamples to some others.