Marymount University

What you'll study

The Applied Mathematics major combines core mathematical theory with computational and applied coursework. Students take foundational courses in calculus, linear algebra, differential equations and probability and statistics, then progress to applied and computational topics such as numerical analysis, mathematical modelling, scientific computing, data analysis, and optimization. The curriculum typically includes a capstone experience—such as a senior seminar, project or research practicum—where students apply mathematical tools to a substantial applied problem.

Typical modules and topics include:

• Calculus sequence — single and multivariable calculus with applications.
• Linear Algebra — matrix theory, vector spaces and eigenproblems for modelling and computation.
• Differential Equations — ordinary and partial differential equations and their role in modelling physical and biological systems.
• Probability & Statistics — probability theory, statistical inference and applied data analysis.
• Numerical Methods — algorithms for approximation, numerical linear algebra and error analysis.
• Mathematical Modelling — translating real problems into mathematical form and validating models against data.
• Computational Tools — programming for mathematical applications, typically using languages and environments common in industry and research (for example Python, MATLAB or similar).
• Electives — options may include optimization, stochastic processes, applied statistics, computational geometry or interdisciplinary courses that integrate mathematics with physics, biology, economics or engineering.

The programme is delivered within Marymount’s liberal arts framework, so students also complete general education courses that develop communication, critical thinking and ethical reasoning. Faculty-led undergraduate research, internships with regional employers and practicum opportunities are integral to the applied focus.

Entry requirements

Marymount University evaluates applicants holistically. Typical preparation for the Applied Mathematics major includes a high school diploma or equivalent with a strong background in mathematics (including high-level algebra, geometry and preferably precalculus or calculus). Prospective students should demonstrate quantitative readiness through transcripts, and may submit standardised test scores where desired by the institution.

Competitive applicants usually present a solid academic record, letters of recommendation that speak to academic ability or character, and a personal statement outlining interest in mathematics and career or study goals. Transfer applicants are expected to provide college transcripts and evidence of successful completion of foundational mathematics courses. International applicants must meet the University’s English language proficiency requirements.

Career prospects

Graduates with a Bachelor’s in Applied Mathematics from Marymount are prepared for a range of careers that rely on quantitative analysis and computational skills. Common entry-level roles include data analyst, quantitative analyst, operations analyst, actuarial assistant (with additional professional exams), software or algorithm developer, and technical analyst in finance, government, consulting or technology firms.

Many graduates continue to graduate study in applied mathematics, statistics, data science, engineering or finance. The programme’s applied and computational emphasis also supports careers in scientific research, public policy modelling, environmental modelling, and interdisciplinary industry roles. Marymount’s location near Washington, D.C., furthermore provides opportunities for internships and employment in federal agencies, research labs and private sector employers.

Why study at Marymount University

Marymount offers a personalised undergraduate experience with small class sizes and close faculty mentoring, which benefits students in a mathematically intensive programme where individual guidance accelerates learning. The university emphasises experiential learning—undergraduate research, internships and project-based courses—that lets students apply mathematical tools to authentic problems.

Its proximity to the Washington, D.C. metropolitan area provides access to internships, government and private-sector employers, and collaborative research opportunities. Marymount’s liberal arts environment ensures students develop strong communication and critical thinking skills alongside technical competence, preparing graduates to adapt across careers or pursue advanced study.