University of Utah

What you'll study

The programme builds a solid foundation in core mathematics and then emphasizes numerical and computational methods used to model, analyse and solve applied problems. Core coursework typically includes multivariable calculus, linear algebra, differential equations and real analysis, together with discrete mathematics and probability.

Computationally focused modules commonly cover numerical analysis, scientific computing, numerical linear algebra, numerical solution of differential equations, optimisation and computational modelling. Students also learn practical programming skills and software tools used in the discipline, such as Python, MATLAB and C/C++, and study algorithmic approaches and complexity where relevant.

The degree usually combines required mathematics courses with electives that let you specialise in areas such as partial differential equations, computational statistics and machine learning, computational geometry, or mathematical modelling. Many students complete a senior capstone project or participate in undergraduate research alongside faculty in applied and computational mathematics groups.

Entry requirements

Applicants are expected to hold a recognised secondary school qualification with strong performance in mathematics. Preparation in algebra, precalculus and calculus is important; successful applicants often have completed one or more years of college‑level calculus or equivalent advanced placement credit.

Admission typically considers overall academic record, strength of mathematics background and readiness for a STEM degree. International applicants must meet equivalent academic standards and demonstrate English language proficiency through an approved test or pathway where required. Some students may be advised to take a mathematics placement test on arrival to determine appropriate first‑year courses.

Career prospects

Graduates with a computational mathematics focus are well placed for careers that require quantitative modelling, numerical methods and programming. Common roles include data scientist, quantitative analyst, software or algorithm developer, operations research analyst, computational scientist and roles in simulation and modelling across engineering and physical sciences.

The degree also provides a strong foundation for graduate study in applied mathematics, computer science, engineering, statistics and related fields. Employers span technology companies, finance and insurance firms, research laboratories, healthcare analytics, and government agencies.

Why study at University of Utah

The University of Utah offers strong opportunities for students interested in computational mathematics through an active applied mathematics community and interdisciplinary centres. Undergraduates can access research projects and mentoring from faculty working in scientific computing, computational modelling and data‑intensive research.

The campus benefits from modern computing resources and a regional tech ecosystem that supports internships and industry connections. Small class sizes in upper‑division courses, opportunities for undergraduate research, and pathways to interdisciplinary collaboration with engineering, computing and science departments make the University of Utah a practical choice for students aiming to apply mathematics in computational contexts.