Central Washington University

What you'll study

The Applied Mathematics degree emphasises mathematical modelling, numerical methods and computational techniques alongside a grounding in pure mathematics. Core topics typically include calculus sequence, linear algebra, differential equations, probability and statistics, numerical analysis, and mathematical modelling. Students also study applied electives such as optimization, dynamical systems, scientific computing, data analysis and statistical inference, and may choose courses from computer science (programming, algorithms), physics, or engineering to complement their studies.

The programme usually combines lectures with laboratory and computer-based work. Practical components include using mathematical software (for example MATLAB, Python packages, or R), project-based modules where students model and solve real problems, and a senior capstone or honours project that emphasises communication of quantitative results. Students have options to pursue directed study or undergraduate research with faculty, and opportunities to take internships or practicum placements that connect classroom learning with industry applications.

Structure

The degree follows a core mathematical curriculum in the early years, with increasing flexibility in later years to specialise in applied subfields or to take interdisciplinary electives. Typical pathways include a straight applied mathematics route, a combined track with statistics or computer science, and an actuarial or data-analytics focus for students preparing for professional certification or industry roles.

Entry requirements

Applicants are normally expected to have completed secondary education with a strong background in mathematics. Typical evidence includes high-school mathematics courses such as calculus and algebra, and competitive secondary-school grades or an equivalent international qualification. For mature or transfer applicants, college-level coursework in calculus and linear algebra strengthens an application.

Central Washington University considers standardised testing and holistic factors; check the university's admissions pages for current policies on SAT/ACT and test-optional status. International applicants must meet English-language proficiency requirements through recognised tests or equivalent qualification. Prospective students should consult the department for recommended preparatory courses and placement testing procedures in mathematics.

Career prospects

Graduates with a degree in Applied Mathematics have versatile career options across multiple sectors. Common roles include data analyst, quantitative analyst, operations researcher, software developer, systems modeller, and roles in engineering, finance, insurance (actuarial pathways), and scientific research. Applied mathematicians are also well prepared for graduate study in mathematics, statistics, computer science, engineering, economics or business analytics.

Many students enter internships during their degree and move into technical or analytical positions in technology companies, government labs, consulting firms and financial institutions. The rigorous quantitative training also supports careers in education and policy analysis, or entrepreneurial ventures that require strong problem-solving and modelling skills.

Why study at Central Washington University

Central Washington University offers a supportive undergraduate-focused environment with small class sizes that facilitate close interaction with faculty. The Mathematics and Statistics department emphasizes applied and computational work, giving students hands-on experience with mathematical software and real-data projects.

Students benefit from opportunities for undergraduate research, faculty-mentored capstone projects, and connections to local industry and regional employers for internships and practicum placements. The campus location provides a balance of campus life and access to outdoor activities, and university services such as career development, tutoring centres and advising help students prepare for careers or postgraduate study.

Overall, the programme is designed to produce graduates who are comfortable with both theoretical foundations and practical computation, ready to apply quantitative methods to complex problems in a wide range of professional settings.