Three students lean over a table, looking at a laptop screen.

Program Overview

Mathematics

Explore the art of logic and problem solving.

Photo credit: Mike Crupi

Develop a Sought-After Quantitative Skill Set

Oberlin's Mathematics program nourishes curious minds interested in applying creative and collaborative problem solving to a world of ideas, puzzles, and proofs. We also develop a quantitative toolbox and critical frame of mind, preparing students for careers in a range of fields, from economics and computer science to data analytics and statistical modeling. Many of our graduates pursue advanced degrees in mathematics and related fields, even becoming professors themselves. Still others immediately find jobs in quantitative fields. For example, recent graduates have become economic analysts at the Federal Reserve Bank, software engineers at Google, and high school math teachers.

A Collaborative Learning Community

Mathematics is a collaborative field. Most papers are co-authored and discoveries made in teams. Cooperating on problem sets is standard, and we even have some group office hours to help you meet new students to collaborate with. We also support a feeling of community by getting students and faculty together informally, for weekly teas, monthly pizza lunches (with a fun talk at the end!), and yearly Pi Day celebrations. Each year, several fourth-years will collaborate one-on-one with a faculty member for an Honors Project.

> 12 large pizzas as students and faculty come together for our monthly pizza lunch talks

Over 60% of math majors also have a second major, many in a related quantitative field

Featured Courses

MATH 220

Discrete Mathematics

Mathematics is a language, and this class teaches you to “speak math.” We introduce topics you will not have seen in calculus (such as logic, sets, induction, number theory, combinatorics, graph theory) and emphasize creative problem solving and proof writing. At the end, you will be prepared to tackle many of our upper level offerings.

Taught by
Jack Calcut

MATH 234

Differential Equations

An introduction to analytic, qualitative, and numerical methods for solving ordinary differential equations. Topics include general first order equations, linear first and second order equations, numerical methods (Euler, Runge-Kutta), systems of first order equations, phase plane analysis, and Laplace Transforms. There is emphasis throughout the course on geometric and qualitative interpretations of differential equations, as well as applications to the natural sciences.

Taught by
Chris Marx, Trevor Arrigoni

MATH 335

Probability

Dealing with uncertainty is critical in many applications of mathematics. For example, it is important in machine learning, statistical modeling, economics, actuarial science, and physics. This class uses the tools you’ve learned in 200 level classes to give uncertainty and probability a firm mathematical foundation, ready to be applied to other fields.

Taught by
Elizabeth Wilmer

MATH 353

Topology

An introduction to point-set and algebraic topology. The fundamental notion of a topological space is introduced and various properties a topological space might have are studied, including connectedness and compactness. Spaces are also investigated by means of certain algebraic invariants including the fundamental group. These invariants are applied to the theory of covering spaces and various results about surfaces, continuous maps, and vector fields are proved.

Taught by
Jack Calcut

Student Profiles

The Course that Changed Everything

Alina Zhu always loved how math could be used to untangle musical principles. It could further a career. It was, she thought, a useful tool. But in the fall of her sophomore year, she took a math course that changed her entire perspective on the field.

Chris Marx with Alina Zhu.

Particle Systems as Epidemics

Mathematics major Garrett Robins has been researching the behavior of particle systems to model the diffusion of disease and opinion.

Garrett Robins

The Future of Sustainable Buildings

Math and physics double major Grant Sheely was also captain of Oberlin’s cross country and track and field teams. He went on to work as a sustainability coordinator in New York City.

Grant Sheely

What does mathematics at Oberlin look like?

Professor Bosch

Professor Bob Bosch explaining his research at the intersection of mathematical optimization and art.

Photo credit: Dale Preston

Professor Wilmer

Professor Elizabeth Wilmer helping students with a homework problem in King 203, our library and math major lounge.

Photo credit: Yvette Chen

Students mingle and eat pie.

Students celebrating Pi Day. With homemade pies!

Photo credit: Jeong Hyun Hwang

A Zoom screen with 4 participants who are raising their arms at particular angles.

Four Oberlin students making an "N" after virtually attending the "N"ebraska Conference for Undergraduate Women in Mathematics.

Photo credit: Emily Cairncross, Kayri Craig, Akira Di Sandro, and Alexandra Du

Next Steps

Get in touch; we would love to chat.


Beautiful trees and landscaping outside the King Building.

Photo credit: Yevhen Gulenko