The College of Wooster

What you'll study

The programme combines core mathematics courses with computer-based numerical and algorithmic methods. Early study typically covers calculus, linear algebra, multivariable calculus and discrete mathematics to build a firm theoretical base. Core and elective courses emphasise computational techniques and their mathematical foundations, and frequently include Numerical Analysis, Scientific Computing, Differential Equations, Probability and Mathematical Statistics, and Computational Linear Algebra.

Students often take programming and software-oriented modules such as Introduction to Computer Science, Data Structures, Algorithm Design, and courses that use languages and tools common in scientific computing (for example Python, MATLAB, or R). Electives may span applied areas like Mathematical Modelling, Optimization, Machine Learning, Computational Geometry or Financial Mathematics, enabling interdisciplinary study with physics, economics, computer science or biology.

A distinctive element of study at The College of Wooster is the Senior Independent Study (I.S.). Mathematics majors undertake an extended, faculty-mentored research project that often involves computational experiments, development of numerical code, data analysis, or theoretical work with computational components. The I.S. culminates in a written thesis and a public oral defence, providing practical experience in conducting and communicating sustained mathematical work.

Structure and assessment

• Typical degree path: introductory and core courses in Years 1–2, intermediate and specialised courses in Years 2–3, and the Senior Independent Study in Year 4.
• Assessment methods include problem sets, programming projects, lab reports, written examinations and the independent study thesis and defence.
• Opportunities exist for cross-disciplinary projects, internships, and summer research alongside faculty.

Entry requirements

Applicants should demonstrate strong preparation in secondary-level mathematics. Typical expectations include completion of pre-calculus and calculus where available; exposure to algebra, geometry and basic statistics is beneficial. Prior programming experience is helpful but not always required—students without formal coding background can begin with introductory computer science courses.

Successful applicants will show evidence of analytical ability through transcripts, teacher recommendations and any sample work or project descriptions. The College values well-rounded applicants from liberal arts backgrounds, so strengths in communication and other sciences are also relevant. International applicants should meet the College's general language proficiency requirements.

Career prospects

Graduates with a computational mathematics emphasis are well placed for roles that combine quantitative reasoning with programming. Common career paths include data analyst/scientist, software engineer, quantitative analyst, operations research analyst, actuarial trainee, and roles in finance, technology, health analytics and government research.

The degree also provides solid preparation for graduate study in mathematics, computer science, statistics, applied mathematics or related fields. The Senior Independent Study and opportunities for internships and faculty-mentored research strengthen application portfolios for employers and postgraduate programmes.

Why study at The College of Wooster

• Small class sizes and close faculty mentoring allow personalised instruction and frequent interaction with professors who are active teachers and researchers.
• The Senior Independent Study is central to the Wooster experience and gives mathematics students a rare opportunity to undertake sustained, original research under faculty supervision.
• As a liberal arts college, Wooster encourages interdisciplinary study—students can combine computational mathematics with computer science, physics, economics or other departments to tailor their skills to applied fields.
• Facilities and computing resources support numerical work and data analysis, and the college helps students connect with internships, summer research programmes and career services to transition into the workforce or graduate school.