University of Mary Washington

What you'll study

The Computational Mathematics pathway blends core mathematical theory with numerical methods and programming to prepare students for computationally intensive roles. You will study calculus, linear algebra, differential equations, real analysis and abstract algebra to build a solid theoretical foundation. Applied and computational coursework typically includes numerical analysis, scientific computing, mathematical modelling, optimization, and computational linear algebra.

Programming and data-focused modules are an important component: you will gain practical experience in languages and tools commonly used for numerical work such as Python, MATLAB, and libraries for numerical computation. Statistics and probability courses support work with stochastic models and data analysis. The curriculum also emphasises algorithmic thinking via coursework in algorithms or discrete mathematics and often includes elective options in computer science and data science.

The programme is structured around major requirements, mathematics electives, and general education courses typical of a liberal-arts university. Many students undertake a senior seminar, capstone project or honours thesis involving original computational work, and there are opportunities for independent research with faculty. Internships, practicum placements, and collaborative projects with other departments (for example, physics, biology, economics or computer science) are encouraged to provide real-world experience.

Entry requirements

Admission to the University of Mary Washington and entrance into the Mathematics major generally requires a strong secondary-school academic record with substantial preparation in mathematics. Applicants are expected to have completed courses in algebra, geometry and precalculus; prior exposure to calculus is highly recommended and further mathematics (for example, further maths or equivalent) is advantageous.

For international applicants, equivalent qualifications in mathematics are expected. Successful applicants typically demonstrate analytical ability through transcripts, recommendations and any available standardised-test information. Transfer students should show college-level mathematics preparation appropriate to the intended level of study. Placement testing may be used to determine the appropriate starting point within the mathematics sequence.

Career prospects

Graduates with a computational mathematics background pursue a range of careers where quantitative and programming skills are in demand. Typical roles include software developer, data analyst, data scientist, quantitative analyst, operations research analyst, and roles in modelling and simulation. Graduates are also well prepared for careers in finance, engineering, technology, government research labs, and scientific computing across disciplines.

The degree provides a strong foundation for graduate study in mathematics, computer science, statistics, data science or engineering. UMW graduates benefit from internship experiences, career services support, and alumni networks that help with job placement and postgraduate opportunities.

Why study at University of Mary Washington

University of Mary Washington is a selective public liberal-arts university that emphasises close faculty mentorship and small class sizes—advantages for students studying mathematics. The department supports undergraduate research, enabling students to work directly with faculty on computational projects and present findings at regional conferences.

Students have access to computing facilities and software used in numerical and data-driven research, and the liberal-arts curriculum allows for interdisciplinary study and electives that complement computational work. The university's location provides regional connections to employers, internships and research opportunities in nearby metropolitan areas, while campus resources such as career services, advising and study-abroad programmes help students tailor the programme to their academic and professional goals.