Eastern Washington University

What you'll study

The programme builds a core foundation in advanced analysis, differential equations and numerical methods, and emphasises application to real problems. Typical topics include real and functional analysis, advanced ordinary and partial differential equations, numerical analysis and scientific computing, matrix analysis and linear algebra, mathematical modelling, optimisation, probability and stochastic processes. Coursework is supplemented by computational labs and a substantial culminating activity — either a research thesis or an applied project.

Students usually combine required core courses with elective modules that reflect their interests. Common electives cover finite element and finite difference methods, data analysis and statistical computing, dynamical systems, computational fluid dynamics, inverse problems, control theory and machine learning for scientific applications. The programme places importance on programming and software tools commonly used in applied mathematics (for example MATLAB, Python, or similar), and on translating theoretical methods into implementable algorithms.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, statistics, physics, engineering or a closely related quantitative field. Adequate preparation includes coursework in calculus (through multivariable), linear algebra, differential equations, and an introductory course in mathematical proofs or real analysis. A competitive undergraduate GPA is required.

Typical application materials include official transcripts, a statement of purpose outlining academic and career goals, and letters of recommendation. International applicants must provide evidence of English language proficiency through recognised tests unless exempt. Some applicants with strong quantitative experience but missing one or two formal prerequisites may be admitted conditionally and asked to complete specified deficiency courses.

Career prospects

Graduates of the master’s in applied mathematics pursue careers across academia, industry and the public sector. Common roles include quantitative analyst, data scientist, modelling and simulation specialist, software developer for scientific computing, operations research analyst, and roles in engineering firms, finance, energy, telecommunications and government research labs. The degree also prepares students for doctoral study in applied mathematics, computational science or related disciplines.

The programme’s emphasis on computational skills and modelling makes alumni attractive to employers seeking people able to design algorithms, implement numerical solvers, analyse large datasets and build predictive models. Opportunities for internships and collaborations with local industry and research centres in the Spokane region can provide practical experience and professional connections.

Why study at Eastern Washington University

Eastern Washington University offers a close-knit learning environment with small class sizes and direct access to faculty actively engaged in applied and computational mathematics. Students benefit from personalised mentoring on both coursework and research projects, and can choose between thesis and applied project pathways to match academic or professional goals.

The university’s location provides links to regional industry and research organisations, enabling applied collaborations and internship possibilities. EWU provides computing resources and laboratory spaces suited to numerical experiments and algorithm development, and many students find opportunities to teach undergraduate courses or assist faculty research as part of their graduate experience.