Harvard’s Applied Mathematics BS bridges pure theory and real-world application, empowering students to translate differential equations, probability, and optimization into solutions for biology, finance, and AI. Interdisciplinary clusters—such as data science, economics, or climate modeling—pair coursework with research in the Institute for Applied Computational Science, positioning graduates for graduate study or cutting-edge roles in industry.
Stochastic model of epidemic spread on social networks
Optimization algorithm for renewable-energy grid dispatch
Fluid-dynamics simulation of coral-reef erosion
Quantitative analysis of NBA shot-selection patterns
Machine-learning model predicting micro-loan defaults
Numerical solver for black-hole accretion disks
Agent-based model of urban traffic congestion
Algorithmic trading strategy using differential equations
Data-driven study of migration under climate change
Neural-ODE approach to forecasting river runoff
Capstone on fair resource allocation in cloud computing
Visualization tool for bifurcations in population models
Hybrid PDE-agent model of tumor growth
Workshop teaching high schoolers chaos theory
Research on adversarial robustness in deep networks
Comparative study of Monte Carlo vs. deterministic methods
Web-app simulating evolutionary game dynamics
Harness mathematical rigor to tackle interdisciplinary challenges with Harvard Applied Math.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
