UNC’s MS in Mathematics prepares scholars for PhD study and analytics leadership. Students explore algebraic topology, stochastic processes, and mathematical data science, often collaborating with Physics on knot invariants in quantum field theory or with Finance on stochastic-volatility modeling. Coding bootcamps teach Julia and Rust for high-performance numerics.
Homology computation of large simplicial complexes in social networks
Finite-volume scheme for nonlinear wave equations
Markov-chain Monte Carlo sampler for Bayesian inverse problems
Proof exploring new bounds in additive combinatorics
Deep-learning surrogate accelerating ODE solvers
Infographic series on historical breakthroughs in category theory
Public lecture on optimal transport and machine learning
Julia package implementing automatic differentiation on manifolds
VR visualization of hyperbolic 3-manifolds
Policy brief on cryptographic implications of quantum algorithms
Translate abstract reasoning into breakthroughs across disciplines.
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