Cost & earnings at Central Washington University What students borrow here, and what they go on to earn
The Bachelor of Science in Mathematics with an emphasis in Computational Mathematics at Central Washington University combines rigorous mathematical theory with practical computational techniques. It suits students who enjoy problem solving, programming and applying numerical methods to real-world problems in science, engineering and data-driven industries.
The programme builds a strong foundation in pure and applied mathematics while emphasising computation and algorithmic approaches. Core courses typically include the calculus sequence, linear algebra, differential equations and real analysis, together with introductory and advanced courses in numerical analysis and scientific computing. You will study probability and statistics, discrete mathematics and applied topics such as numerical linear algebra, numerical solution of ordinary and partial differential equations, optimisation and computational modelling.
Computational mathematics students also take programming and software-focused modules—commonly involving MATLAB, Python or C—to implement algorithms, manage data and visualise results. The degree usually includes elective options from computer science, physics, engineering or statistics so you can tailor the programme to interests such as data science, computational physics or mathematical biology. Many students complete a senior seminar, capstone project or undergraduate research project that applies computational methods to a real problem, often working closely with faculty on campus.
Applicants should hold a high-school diploma or equivalent with strong preparation in mathematics. Successful candidates typically have completed precalculus and calculus, and show competence in algebra and trigonometry. Admissions consider overall academic performance and coursework rigor; some applicants will be advised to take placement testing in mathematics to determine the appropriate first-year course.
For transfer students, completion of college-level calculus and a college-level programming course is advantageous. International applicants must meet the university's English proficiency requirements. Specific GPA expectations and additional requirements such as recommendation letters or statements of purpose vary; check Central Washington University's admissions guidance or consult the department for current details.
Graduates with a computational mathematics major are well positioned for careers that require quantitative analysis, mathematical modelling and programming. Common roles include data analyst, quantitative analyst, software developer, numerical modeller, operations researcher and statistical consultant. Employers range across technology companies, engineering firms, finance and insurance, government laboratories, and research organisations.
Many graduates pursue further study at the graduate level in applied mathematics, computer science, data science, statistics or engineering. Those interested in teaching at secondary level can pursue teacher certification pathways. The programme’s emphasis on computation and applied projects makes students attractive to employers seeking candidates who combine mathematical rigour with practical programming skills.
Central Washington University offers a student-focused environment with relatively small class sizes and accessible faculty, which is beneficial for guided learning in a mathematically rigorous programme. The Mathematics Department supports undergraduate research and capstone experiences, giving students hands-on opportunities to apply computational methods to real problems.
Students benefit from modern computing facilities and opportunities to collaborate with neighbouring departments such as Computer Science, Physics and Engineering Technology. CWU’s location provides regional internship and industry links, and the department works to connect students with internships, research placements and career services to prepare for postgraduate study or employment in quantitative and technical fields.
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