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Project Ideas for Master of Science in Mathematics

Advance rigorous theory and computational modeling for science, finance, and tech.

🏛 Introduction

Georgia Tech’s MS-Math fuses proof-heavy foundations with GPUs and cloud notebooks. Students formalize theorems in Lean, build neural-PDE surrogates for turbulence, and price exotic derivatives with stochastic calculus on CUDA clusters. Industrial seminars from Sandia, Two Sigma, and NVIDIA show careers where pure rigor meets billion-dollar stakes.

💡 Suggested Project Titles

Graph homology detector for misinformation network pruning

Finite-element solver for viscoelastic soft-robot actuators

Optimal transport metric for bias in ML feature spaces

Stochastic differential-equation model of epidemiological spikes

Proof-assistant formalization of cryptographic hardness assumptions

Sparse Fourier transform compression of high-rate seismic data

Random-matrix analysis of mmWave MIMO channel capacity

Game-theoretic study of carbon credit auction dynamics

GPU-accelerated Navier–Stokes solver for microfluidic chips

Neural-ODE surrogate for orbital debris propagation

Integer programming timetable for campus shuttle optimization

Topology optimization of acoustic metamaterial panels

Bayesian inverse model for geothermal reservoir parameters

Quantum walk algorithm exploration on irregular graphs

Fractal dimension study of urban sprawl using Landsat imagery

Georgia Tech – MS in Mathematics

Translate abstract proofs into algorithms that reshape industries.

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