Central Washington University

What you'll study

The programme combines rigorous graduate coursework in core mathematical areas with applied and computational topics. Typical modules include advanced real analysis and abstract algebra to ensure theoretical depth, together with numerical analysis, numerical linear algebra, computational methods for partial differential equations, optimisation and scientific computing. Students also study applied probability and statistics, numerical algorithms and high‑performance computing techniques, and are expected to develop proficiency with relevant programming tools such as Python, MATLAB or C/C++.

Students may choose between a thesis option, which emphasises original research and prepares for doctoral study, and a non‑thesis (project) option, which focuses on a substantial computational project or coursework sequence. Coursework load and research components are designed to build both the theoretical foundations and practical skills needed to tackle real‑world modelling and computation problems.

Entry requirements

• A bachelor's degree in mathematics, applied mathematics, engineering, computer science or a closely related quantitative discipline from an accredited institution.
• Demonstrated preparation in core undergraduate mathematics topics such as calculus (through multivariable), linear algebra and differential equations. Prior exposure to proof‑based courses (e.g. advanced calculus/real analysis) and basic programming experience is strongly recommended.
• Official transcripts, a statement of purpose outlining academic and professional goals, and one or more letters of recommendation from academic or professional referees.
• International applicants must meet the university's English language proficiency requirements and provide any required documentation for graduate admission.
• Additional materials such as a CV/resumé or sample of mathematical work may strengthen an application. The department may consider undergraduate GPA, relevant coursework and quantitative preparation when making admissions decisions.

Career prospects

Graduates from the computational mathematics track are prepared for roles that require strong quantitative, modelling and programming skills. Common career paths include data scientist or analyst, computational scientist, quantitative analyst in finance, software engineer focusing on numerical applications, and roles in simulation or high‑performance computing. Alumni also move into applied research positions in industry and national laboratories, or continue to doctoral study in mathematics, applied mathematics or computational science.

The programme’s emphasis on practical computing and modelling, together with opportunities for project work or a thesis, helps graduates build a portfolio of work useful for both employers and PhD programmes.

Why study at Central Washington University

Central Washington University offers a focused graduate environment with small class sizes and close access to faculty mentors with strengths in applied and computational mathematics. The university provides hands‑on training with scientific computing tools and access to computing facilities appropriate to graduate work. CWU’s location and regional connections support internships and collaborations with industry, government and research organisations in the Pacific Northwest.

Students benefit from personalised advising, opportunities for teaching assistantships and a curriculum that balances theoretical foundations with practical computational skills, preparing graduates for technical careers or continued study in computational and applied mathematics.