Eastern Mennonite University

What you'll study

The Computational Mathematics concentration builds a foundation in pure and applied mathematics while emphasising numerical methods, scientific computing and algorithmic problem solving. Core coursework typically covers calculus sequence, linear algebra, differential equations and real analysis to establish mathematical reasoning and proof skills.

• Computational and numerical methods — numerical analysis, approximation theory, and algorithms for solving equations and optimisation problems.
• Applied mathematics — modelling with differential equations, discrete mathematics, and mathematical modelling projects that translate real-world problems into quantitative form.
• Programming and software — instruction in languages and tools commonly used in computational work (for example Python, MATLAB or similar), data structures and computational libraries for scientific computing.
• Advanced topics — electives such as numerical linear algebra, scientific visualization, computational statistics, machine learning foundations, or dynamical systems depending on student interest and faculty availability.
• Capstone and research — a senior seminar, capstone project or independent research guided by faculty that integrates theory, computation and applied problem solving.

Students are encouraged to take complementary coursework in computer science, physics, economics or data science to broaden practical applications. Small class sizes enable close faculty supervision of projects and opportunities for undergraduate research.

Entry requirements

Applicants for the bachelor’s degree should present a high school diploma or equivalent with a strong preparation in mathematics, typically including algebra, geometry, trigonometry and, where available, pre-calculus or calculus. Admissions ordinarily consider a complete academic record, personal statement, and recommendations; standardised tests may be optional depending on university policy.

• Recommended preparatory subjects: algebra, geometry, precalculus/calculus, and coursework that demonstrates quantitative reasoning skills.
• Evidence of motivation for sustained study in mathematics, such as coursework, extracurricular activities (math clubs, competitions) or prior programming experience, strengthens an application.
• Transfer students should provide college transcripts and descriptions of prior coursework to evaluate equivalencies; faculty advisers will help map transferred credits into the programme.

Career prospects

Graduates with a computational mathematics concentration are well positioned for graduate study or technical careers that require strong quantitative and programming skills. Career paths commonly pursued include:

• Data analyst, data scientist or business intelligence roles, applying statistical and computational techniques to extract insights from data.
• Software developer or numerical software engineer, developing algorithms and tools for scientific and engineering applications.
• Quantitative analyst in finance, modelling risk and pricing using numerical methods.
• Actuarial work, operations research, or optimisation roles in industry where mathematical models inform decision making.
• Secondary mathematics teaching or progression to graduate programmes in mathematics, applied mathematics, computer science, engineering or related fields.

Undergraduate research experience and internships—facilitated by faculty mentorship—are valuable for entering competitive technical roles or gaining admission to graduate programmes.

Why study at Eastern Mennonite University

Eastern Mennonite University offers a liberal arts setting with small class sizes and close faculty-student interaction, which benefits students pursuing intensive, project-based mathematical training. The university emphasises experiential learning and integrates ethical reflection and community engagement into academic work, providing a context for applying computational skills to real-world problems.

• Personalised mentoring and accessible faculty who supervise independent research and capstone projects.
• Opportunities to combine mathematics with complementary disciplines such as computer science, economics, or the natural sciences.
• Support for internships, undergraduate research and off-campus study that enhance practical experience and employability.
• A campus culture oriented to collaborative learning and service, appealing to students seeking a values-driven educational environment.