From quantum algorithms to pandemic forecasting, Georgia Tech’s Applied Mathematics BS transforms abstract theory into real-world impact. Students start with rigorous proofs in analysis and algebra, then sprint into numerical methods, stochastic processes, and high-performance computing. Faculty research groups pull undergraduates into NSF-funded projects on cryptography, climate modeling, and fintech risk, while corporate partners sponsor datathons that turn tensors into actionable insights. Graduates leave fluent in Python, MATLAB, and mathematical storytelling—the language behind tomorrow’s breakthroughs.
Agent-based simulation of urban traffic flow with variable ride-share demand
Finite-element solver for stress analysis in 3D-printed biomaterials
Stochastic differential-equation model of infectious-disease spread on campuses
Compression algorithm leveraging sparse Fourier transforms for IoT sensor data
Cryptanalysis of post-quantum lattice-based encryption schemes
Monte Carlo valuation of renewable-energy derivatives
Topology optimization for lightweight aerospace truss structures
Machine-learning-assisted reduced-order models for climate prediction
Graph-theoretic detection of misinformation clusters on social media
Priority-queue optimization for hospital emergency-department triage
Bayesian inference framework for gravitational-wave parameter estimation
Neural-ODE approach to predicting battery-degradation kinetics
Markov decision process for adaptive traffic-light scheduling
GPU-accelerated solver for Navier–Stokes equations in microfluidics
Game-theoretic pricing model for decentralized energy markets
Turn equations into solutions—model, compute, and innovate with Georgia Tech mathematics.
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