Saint Martin's University

What you'll study

This programme emphasises both pure and applied mathematics, with particular focus on computational techniques and their applications. Core topics include calculus, linear algebra, differential equations, numerical analysis and scientific computing. Students also study probability and statistics, discrete mathematics, and mathematical modelling.

Computational coursework integrates programming and software tools commonly used in industry and research. Typical modules and learning experiences include:

• Calculus sequence: single and multivariable calculus and vector calculus.
• Linear Algebra: matrix theory, eigenvalues and eigenvectors, and applications to systems.
• Differential Equations: ordinary and introductory partial differential equations with analytical and numerical solution methods.
• Numerical Analysis and Scientific Computing: numerical linear algebra, root finding, interpolation, numerical integration and error analysis, implemented in languages such as Python or MATLAB.
• Probability and Statistics: foundations of probability, statistical inference, regression and data analysis.
• Discrete Mathematics and Algorithms: graph theory, combinatorics and algorithmic thinking.
• Mathematical Modelling and Capstone Project: team or individual project applying computational methods to a real problem, often in collaboration with faculty or local partners.
• Electives and Interdisciplinary Options: courses in computer science, data science, physics, engineering or finance to tailor the degree to specific career goals.

The programme typically combines lectures with lab sessions and project-based assignments, and encourages undergraduate research and internships to develop practical experience.

Entry requirements

Applicants are expected to have strong secondary school preparation with evidence of proficiency in mathematics. Typical entry requirements include a high school diploma with good grades in mathematics; examples of suitable preparation are courses in algebra, precalculus or calculus. For students in systems that use subject examination results, achievement in mathematics at recognised levels is expected.

Saint Martin's also considers the whole application, including personal statement, teacher references and any evidence of programming or quantitative coursework. Transfer applicants must provide college transcripts showing successful completion of introductory calculus and related coursework. International applicants need to meet the university's general admission criteria and demonstrate English language proficiency if required.

Career prospects

Graduates with a computational mathematics degree are well placed for careers that require quantitative and computational expertise. Common paths include roles as data analysts, quantitative analysts, software developers with a numerical focus, operations research analysts, and positions in modelling and simulation. Graduates also enter finance, engineering, environmental modelling, scientific research and government agencies.

The degree provides solid preparation for postgraduate study in applied mathematics, computer science, data science, engineering or statistics, and supports professional certification pathways such as actuarial exams for those pursuing that route.

Why study at Saint Martin's University

Saint Martin's offers a small-campus environment that emphasises close interaction with faculty and opportunities for mentored undergraduate research. The mathematics programme benefits from a liberal arts context, enabling interdisciplinary study and elective choices that complement computational mathematics.

The university's location in the Pacific Northwest provides proximity to regional employers in technology, government and engineering, supporting internship and networking opportunities. Students have access to computing facilities and laboratory courses, and the university encourages experiential learning through internships, capstone projects and collaborations with departments across campus. The campus community, informed by Benedictine traditions, places value on ethical reasoning and service, which can enrich the application of quantitative skills in professional settings.