Illinois Wesleyan University

What you'll study

The Computational Mathematics pathway blends core mathematical theory with numerical methods, scientific computing and applied modelling. You will build a foundation in calculus, linear algebra and probability, then progress to courses emphasising computation, approximation and algorithmic implementation.

• Core mathematical foundations: Calculus sequence, Linear Algebra, Ordinary Differential Equations, Real Analysis or Advanced Calculus.
• Computational and applied courses: Numerical Analysis, Scientific Computing, Mathematical Modelling, Computational Linear Algebra, Optimization and Simulation.
• Supporting subjects: Probability and Mathematical Statistics, Discrete Mathematics, Algorithms and Data Structures (often taught in collaboration with the Computer Science department).
• Capstone and research: Senior seminar, independent study or a senior thesis/project that emphasises computational experiments, code development and model validation.
• Tools and practice: Regular use of programming languages and environments common in scientific computing (for example Python, MATLAB/R, and version control), as well as high-performance computing concepts and data visualisation.

Small-class instruction emphasises problem-solving, written and oral communication of mathematical ideas, and opportunities to work closely with faculty on undergraduate research projects, often leading to presentations or conference submissions.

Entry requirements

Admission to Illinois Wesleyan University is based on a holistic review of academic preparation, recommendation letters and personal statements. For the Computational Mathematics pathway, successful applicants typically present strong achievement in high school mathematics and science courses.

• Recommended preparation: High school calculus (or AP Calculus AB/BC) and experience with algebra, precalculus and trigonometry. Some exposure to computer programming (AP Computer Science, elective courses or self-directed projects) is advantageous.
• Academic profile: Competitive applicants normally have strong grades in maths and related subjects; course rigor (honours/AP/IB) is considered positively.
• International applicants: Equivalent secondary-school credentials and proof of English proficiency (where required) are expected.
• Additional materials: College application form, high school transcript, recommendation letters and a personal statement. Admissions may consider standardised test scores where submitted, but policies can be flexible—check the university’s current guidance.

Career prospects

Graduates with a computational mathematics degree are well positioned for roles that require quantitative modelling, algorithmic thinking and programming. Typical career directions include:

• Data analyst, data scientist or business intelligence specialist
• Quantitative analyst or risk modeller in finance and insurance
• Software developer or algorithm engineer, especially in scientific and engineering domains
• Operations research or optimisation specialist
• Actuarial analyst (with additional professional exams) and statistics-related roles
• Graduate study in applied mathematics, computational science, statistics, computer science, engineering or related fields

Many students secure internships through campus career services and faculty networks, and senior projects frequently act as portfolio pieces for employers or graduate admissions committees.

Why study at Illinois Wesleyan University

Illinois Wesleyan is a liberal arts university that emphasises close faculty-student interaction, undergraduate research and a broad-based education. The mathematics department offers personalised advising and mentorship, enabling students to tailor a computational pathway that combines mathematics and computer science.

• Small class sizes: Frequent contact with faculty and opportunities for one-to-one research mentorship.
• Undergraduate research: Active encouragement and support for research projects and conference presentations, often supervised by faculty with applied and computational interests.
• Interdisciplinary opportunities: Easy collaboration with computer science, physics, economics and other departments for cross-disciplinary projects and internships.
• Career support: Dedicated career services, alumni networks and internship pipelines help translate computational mathematics training into jobs or graduate study.

Together, these features make Illinois Wesleyan a strong choice for students seeking a rigorous mathematics education with substantial computational and applied experience in a supportive undergraduate environment.