Ohio State University’s MS in Mathematics offers students a strong foundation in algebra, analysis, geometry, and applied mathematics. The program is ideal for those seeking to deepen their theoretical understanding or prepare for PhD study, data-intensive careers, or secondary teaching certification. Faculty support original research in topology, number theory, combinatorics, and mathematical logic. The program provides a balance of abstract thinking and computational tools relevant to both academic and industry settings.
Investigating elliptic curves and their applications in cryptographic systems
Modeling traffic flow using systems of nonlinear partial differential equations
Topology-based data analysis for detecting clusters in high-dimensional data
Stochastic process modeling of financial market behavior
Exploring prime number gaps using sieve theory and numerical methods
Numerical solutions of Navier-Stokes equations in fluid dynamics
Designing an interactive tool to visualize multivariable calculus concepts
Proof-based exploration of Galois theory in abstract algebra
Applying combinatorial game theory to decision-making strategies
Developing Fourier series models for sound wave decomposition
Matrix decomposition methods and their use in data compression algorithms
Studying group representations in crystallography and material science
Using Markov chains to simulate ecological population transitions
Modeling disease transmission in populations with differential equations
Exploring fractals and self-similarity in complex systems
Analysis of mathematical paradoxes and implications for logic systems
Graph theory application to optimize urban transit networks
Investigating Diophantine equations and integer solution patterns
Developing algebraic models of voting systems and fairness metrics
Tensor analysis in general relativity and continuum mechanics
Dive into deep theory or real-world modeling with OSU’s Mathematics master’s degree.
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