Mathematics Ph.D.
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Program description
The School of Mathematics at the University of Minnesota offers a Ph.D. in Mathematics. The Ph.D. in Mathematics spans the full spectrum of mathematics, supported by more than 60 faculty who pursue cutting-edge, internationally recognized research and serve as dedicated mentors.
Students design a flexible, customizable curriculum in consultation with their advisor, choosing core and supporting coursework that aligns with their research interests.
Research strengths in the department include Commutative Algebra, Number Theory, Algebraic Geometry, Lie Theory, Analysis, Partial Differential Equations, Dynamical Systems, Mathematical Fluid Mechanics, Applied and Computational Mathematics, Mathematical Physics, Numerical Analysis, Data Science and Machine Learning, Harmonic Analysis, Algebraic Combinatorics, Representation Theory, Algebraic Topology, Differential Geometry, Symplectic Topology, Mathematical Biology, Complex Networks, Theoretical Neuroscience, Statistical Physics, Probability and Stochastic Processes.
Students design a flexible, customizable curriculum in consultation with their advisor, choosing core and supporting coursework that aligns with their research interests.
Research strengths in the department include Commutative Algebra, Number Theory, Algebraic Geometry, Lie Theory, Analysis, Partial Differential Equations, Dynamical Systems, Mathematical Fluid Mechanics, Applied and Computational Mathematics, Mathematical Physics, Numerical Analysis, Data Science and Machine Learning, Harmonic Analysis, Algebraic Combinatorics, Representation Theory, Algebraic Topology, Differential Geometry, Symplectic Topology, Mathematical Biology, Complex Networks, Theoretical Neuroscience, Statistical Physics, Probability and Stochastic Processes.
Program last updated
Fall 2026