Ohio State University’s BS in Mathematics offers in-depth training in core and advanced mathematical topics such as linear algebra, real analysis, abstract algebra, and differential equations. The curriculum is designed for students interested in research, graduate school, or mathematically intensive careers in finance, data science, cryptography, or theoretical computer science. Emphasis is placed on logical proof construction, computational techniques, and mathematical modeling to solve real-world and abstract problems.
Exploration of the Riemann Hypothesis and related conjectures
Mathematical model of disease spread using differential equations
Research on group theory applications in cryptography
Capstone: numerical simulation of fluid dynamics
Proof-based portfolio from abstract algebra coursework
Paper on Gödel’s Incompleteness Theorems and their implications
Statistical analysis of sports performance using regression
Machine learning basics using mathematical optimization methods
Survey of topology and applications in network analysis
Comparison of numerical vs. analytical solutions in PDEs
Project on fractals and chaos theory with visual software
Analysis of economic models using game theory
Internship report from a quantitative finance role
Review of combinatorics techniques in scheduling problems
Study guide on vector calculus and Maxwell’s equations
Algorithm efficiency comparison through Big-O notation
Research on mathematical biology and population dynamics
Workshop on LaTeX for mathematical publishing
Interactive math education tool coded in Python
Mathematical visualization project using MATLAB or WolframAlpha
Tackle complex mathematical theory and applications with OSU’s rigorous and research-focused Mathematics BS.
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