University of Hawaii

What you'll study

The Computational Mathematics pathway builds a foundation in core mathematical theory while emphasising numerical methods and scientific computing. Early years concentrate on calculus, linear algebra, differential equations and discrete mathematics. Intermediate and advanced modules typically include real analysis, complex variables, probability and mathematical statistics, and abstract algebra paired with coursework in numerical analysis, scientific computing, numerical linear algebra, and numerical solutions of partial differential equations.

Students also study practical computing topics such as algorithm design, scientific programming (commonly using Python and MATLAB), data structures, and high‑performance computing concepts. The degree usually offers electives in optimisation, machine learning, computational geometry, stochastic modelling and applied topics relevant to physical sciences and engineering.

Program structure commonly includes a senior capstone or honours project and opportunities for supervised undergraduate research, internships with local industry or research centres, and seminar work that develops communication of mathematical results to interdisciplinary audiences.

Entry requirements

Applicants are expected to hold a high school diploma or recognised secondary qualification with strong performance in mathematics. Typical preparation includes completion of algebra, precalculus and calculus; prior study in statistics is advantageous. Universities commonly require a competitive overall academic record, with emphasis on quantitative subjects.

Some students may be placed into first‑year calculus or a departmental placement course depending on prior preparation. Familiarity with basic programming is helpful but not always mandatory; students without programming experience are usually able to learn it in introductory computing modules. Transfer applicants and mature students are considered according to established university policies and must provide transcripts of previous post‑secondary study.

Career prospects

Graduates with a computational mathematics degree are prepared for roles that combine quantitative analysis and programming. Common career paths include data scientist or analyst, quantitative or risk analyst in finance, software engineer, operations research analyst, and numerical modeller in engineering or physical sciences. Employers range across technology firms, finance institutions, government agencies, research laboratories, and engineering consultancies.

The degree also provides a solid foundation for postgraduate study in applied mathematics, computational science, statistics, computer science, engineering and related fields. For careers such as actuarial work or certain specialised analytics roles, graduates often take further professional exams or postgraduate qualifications.

Why study at University of Hawaii

The University of Hawaii offers this programme within a research-active mathematics department with strengths in applied and computational topics relevant to environmental science, oceanography and engineering — areas that reflect the region's research priorities. Students benefit from access to faculty engaged in interdisciplinary projects, computing resources and collaborations with local research centres and industry partners.

Smaller class sizes in upper‑division courses, opportunities for supervised undergraduate research and internship connections provide practical experience in computational work. The university’s location also provides distinctive applied problems and data sets linked to Pacific‑region science and engineering, useful for project work and career networking.