Ursinus College

What you'll study

The Applied Mathematics curriculum blends core mathematical theory with computational methods and applications across science, technology and business. Students build from foundational courses to advanced, application-focused work and a culminating project or research experience.

Core topics and typical courses

• Calculus sequence and multivariable calculus — providing the differential and integral tools used throughout the programme.
• Linear algebra — matrix theory, vector spaces and their applications to modelling and computation.
• Differential equations — ordinary and partial differential equations with emphasis on modelling physical and biological systems.
• Probability and mathematical statistics — probability theory, statistical inference and data analysis fundamentals.
• Numerical analysis and scientific computing — numerical methods for solving equations, approximation, error analysis and algorithm implementation.
• Mathematical modelling — developing, analysing and validating models for real-world problems drawn from engineering, economics, environmental science and other fields.
• Computational mathematics and programming — use of languages and tools common in scientific computing and data analysis; opportunities to take elective courses in computer science and data science.
• Advanced electives — topics such as real analysis, optimization, probability models, stochastic processes, operations research or dynamical systems depending on student interests.
• Capstone experience — a senior project, thesis or practicum that emphasises original modelling, computation or applied research, often undertaken with faculty supervision or in partnership with external organisations.

Learning structure and enrichment

• Small seminar and lab-style classes that emphasise problem-solving, programming and collaboration.
• Opportunities for undergraduate research with faculty in mathematics and adjacent departments (e.g. physics, computer science, economics, environmental studies).
• Internships and practicum placements that connect mathematical training to industry and community partners.

Entry requirements

Admission to Ursinus College is based on a holistic review of academic preparation and potential. Applicants to the Applied Mathematics programme are expected to demonstrate strong preparation in mathematics and quantitative reasoning.

• Secondary school diploma or equivalent with successful completion of algebra, geometry and preparation in pre-calculus or calculus where available.
• Recommended preparatory courses include calculus (or an equivalent background), a statistics course, and coursework that develops logical and analytical skills.
• Typical supporting materials include high school transcripts, teacher recommendations (preferably including a mathematics instructor), and a personal statement outlining interest in applied mathematics.
• International applicants should demonstrate English language proficiency through accepted qualifications when required.
• Placement assessments or departmental advising may be used to determine appropriate starting mathematics courses once admitted.

Career prospects

Graduates with a degree in Applied Mathematics from Ursinus are prepared for a wide range of careers that require strong quantitative, analytical and computational skills.

• Data analyst, data scientist or business intelligence roles in technology, healthcare, consulting and finance.
• Actuarial positions and risk analysis roles, often pursued in combination with professional actuarial exams.
• Quantitative analyst or modelling roles in finance, insurance and investment management.
• Operations research, optimisation and logistics positions within manufacturing, transport and services sectors.
• Software engineering and computational roles where numerical methods and algorithmic thinking are valued.
• Research and teaching careers following graduate study in mathematics, applied mathematics, statistics, computer science or engineering.

Why study at Ursinus College

Ursinus College offers a liberal arts environment with small classes and close faculty mentorship, which benefits students pursuing an applied mathematics degree that blends theory and practice. The college emphasises undergraduate research, experiential learning and interdisciplinary collaboration, allowing students to combine mathematics with computer science, economics, environmental studies or the natural sciences.

• Close faculty-student collaboration and accessible departmental advising to support academic and career planning.
• Hands-on opportunities for research, internships and community-engaged projects that apply mathematical skills to authentic problems.
• Access to computing resources and courses that prepare students for modern data and numerical workflows.
• Proximity to regional employers and graduate programmes, facilitating internships and post-graduate opportunities while retaining a residential liberal-arts campus experience.