UNC’s MS in Applied Mathematics merges rigorous analysis with computational prowess. Students simulate fluid-structure interactions on GPU clusters, develop stochastic models for epidemiology, and collaborate with NASA’s Langley on orbital-mechanics optimization. Cross-listed electives in Machine Learning, Bioinformatics, and Quantitative Finance empower graduates for PhD study or R&D leadership.
Finite-element code for cardiac electromechanics simulation
Agent-based wildfire-spread model validated with satellite data
Stochastic differential-equation model of option pricing under jumps
Deep-learning surrogate compressing CFD solutions
Optimal-control strategy for COVID booster allocation
Topological data-analysis pipeline identifying protein cavities
GPU-accelerated solver for tsunami propagation equations
Grant proposal for open-source math packages in Julia
VR visualization of four-dimensional dynamical systems
White paper on uncertainty quantification in climate models
Knot-theory exploration informing DNA supercoiling research
Workshop teaching reproducible math-code workflows
Podcast demystifying math behind AI image synthesis
Infographic comparing solver convergence rates
Cryptanalysis study on lattice-based post-quantum schemes
Model, compute, and innovate across science, engineering, and finance.
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