The BS in Mathematics at UMD provides a rigorous curriculum covering calculus, linear algebra, differential equations, probability, statistics, real and complex analysis, and abstract algebra. Students can specialize in pure math, applied math, statistics, or actuarial science. The program fosters deep analytical and problem-solving skills suitable for careers in finance, tech, data science, research, and academia. Internships and undergraduate research experiences help students bridge theory and application.
Mathematical modeling of infectious disease spread using SIR equations
Proof-based exploration of number theory and prime distributions
Designing cryptographic algorithms using modular arithmetic
Optimizing transportation routes using linear programming
Graph theory applications in social network analysis
Simulation of stock market behavior using stochastic processes
Exploring fractals and chaos theory in dynamic systems
Creating mathematical art using symmetry and transformations
Monte Carlo methods for option pricing in finance
Game theory strategies in competitive business decisions
Investigating mathematical paradoxes in set theory
Mathematical analysis of voting systems and fairness
Topology-based exploration of knot theory
Real analysis project on Riemann integration techniques
Mathematical logic and proof construction using LaTeX
Statistical modeling of election outcomes
Modeling heat conduction with partial differential equations
Fibonacci sequences and applications in natural patterns
Exploring the math behind musical harmonics
Algorithm complexity analysis and Big-O notation comparisons
Develop critical thinking and mathematical reasoning for cutting-edge problem-solving in science and industry.
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