Ohio Wesleyan University

What you'll study

This programme builds a strong foundation in pure and applied mathematics while integrating substantial computational coursework. Typical core mathematics topics include calculus (through multivariable), linear algebra, differential equations, real analysis and abstract algebra. Students pursue computational breadth through courses such as numerical analysis, scientific computing, mathematical modelling, numerical linear algebra and applied statistics.

• Introductory and advanced calculus sequence
• Linear Algebra and Matrix Theory
• Differential Equations and Dynamical Systems
• Real Analysis and Foundations of Mathematics
• Numerical Analysis and Scientific Computing
• Probability, Mathematical Statistics and Data Analysis
• Discrete Mathematics and Combinatorics
• Programming for Mathematicians (Python, MATLAB, or similar)
• Algorithms, Data Structures and Computational Complexity (often cross-listed with Computer Science)
• Senior capstone or honours thesis involving a computational project or modelling problem

Students are encouraged to complement mathematics courses with electives in computer science, physics, economics or engineering, and to take advantage of research projects with faculty, independent study opportunities, and practicum-style courses that apply computation to scientific or societal problems.

Entry requirements

Ohio Wesleyan seeks applicants with a solid high-school record and a clear aptitude for quantitative thinking. Typical expectations include completion of secondary-school mathematics through precalculus or calculus, and coursework in science. Admissions decisions are based on the whole application, including transcripts, teacher recommendations (especially from a math or science teacher), a personal statement and extracurricular engagement.

International applicants must demonstrate English language proficiency and submit comparable academic credentials. Admitted students may be placed into appropriate first-year courses by internal diagnostics or placement examinations rather than by high-school course titles alone.

Career prospects

Graduates with a computational mathematics focus are well placed for a wide range of careers that rely on quantitative and programming skills. Common directions include:

• Data science and analytics roles in tech, healthcare, retail and consulting
• Software development and engineering, particularly in scientific and technical computing
• Quantitative roles in finance and risk management
• Operations research, optimisation and modelling positions in industry and government
• Actuarial careers (with appropriate exam preparation and supporting coursework)
• Graduate study in applied mathematics, statistics, computer science, engineering or related fields
• Secondary school teaching or educational roles after certification

Undergraduate research, internships coordinated through Ohio Wesleyan’s career services and alumni network, and the senior capstone project all strengthen employability and facilitate transition to professional or graduate pathways.

Why study at Ohio Wesleyan University

Ohio Wesleyan is a liberal arts university that emphasises close student–faculty interaction, small class sizes and opportunities for undergraduate research. Mathematics students benefit from personalised mentorship, the chance to pursue a senior thesis or capstone, and cross-disciplinary collaboration with computer science and natural sciences.

The university supports experiential learning through internship placement assistance, on-campus computing resources and career development services. Its campus community and flexible curriculum allow students to combine rigorous quantitative training with complementary studies in areas such as economics, biology or environmental science, preparing graduates for diverse careers or further study.