Chapman University

What you'll study

This four‑year programme blends core mathematics with computational and applied courses. Students take a sequence of calculus, multivariable calculus and real analysis, together with linear algebra and ordinary differential equations to build a strong theoretical foundation. Computational specialism is developed through courses such as numerical analysis, scientific computing, numerical linear algebra, algorithms and data structures, computational modelling, and mathematical optimisation.

The curriculum also typically includes probability and mathematical statistics, discrete mathematics and an introduction to modelling for applications in physics, engineering, finance and biology. Students can choose electives or minors in related areas such as computer science, data science, economics or physics to broaden applied skills, and there is normally a senior capstone or research projects component where students complete a substantial computational project under faculty supervision.

• Core topics: Calculus sequence, Linear Algebra, Differential Equations, Real Analysis
• Computational focus: Numerical Analysis, Scientific Computing, Algorithms, Computational Modelling, Optimisation
• Supporting topics: Probability & Statistics, Discrete Mathematics, Programming for Scientists
• Experiential learning: Capstone project or undergraduate research, internships, collaborative projects with other departments

Entry requirements

Admissions to Chapman’s undergraduate programmes are based on a holistic review of an applicant’s academic preparation, extracurricular activities and personal statements. Successful applicants will have strong secondary school preparation with a solid background in mathematics—ideally including calculus—and evidence of quantitative ability. Coursework or experience in computer programming is strongly recommended for a computational mathematics focus.

For applicants from the US, competitive admission typically includes a strong high‑school record, rigorous coursework (including advanced mathematics if available), and standardised test scores if submitted; Chapman considers the full application package. International applicants should present the equivalent secondary credentials and meet Chapman’s English proficiency requirements. Applicants transferring from other institutions are evaluated on collegiate coursework in mathematics and related fields.

Career prospects

Graduates with a computational mathematics degree are prepared for a wide range of technical careers and postgraduate study. Common career paths include data science and analytics, quantitative analysis in finance, software engineering, scientific computing, operations research, modelling and simulation, and roles in technology companies and government research labs. The strong combination of mathematical reasoning and computational skills also positions graduates for graduate study in mathematics, computer science, statistics, engineering and related disciplines.

Many students gain practical experience through internships in the tech, finance and engineering sectors or through campus‑based research, which helps with employment or admission to competitive postgraduate programmes.

Why study at Chapman University

Chapman offers a personalised undergraduate experience with relatively small class sizes and close faculty mentorship, which is particularly valuable for mathematically intensive and research projects. Students benefit from interdisciplinary collaboration across departments, opportunities for undergraduate research, and career support aimed at internships and industry connections in the Southern California region.

The university emphasises experiential learning—students can combine classroom study with hands‑on computational projects, internships and capstone work, and build a portfolio of applied work that appeals to employers and graduate programmes alike.