Susquehanna University

What you'll study

The computational mathematics concentration blends core mathematical subjects with programming, numerical analysis and mathematical modelling. Students take foundational courses in calculus, linear algebra and differential equations alongside classes in real analysis and abstract algebra to develop theoretical rigour. Core computational offerings typically include numerical methods, scientific computing, data structures and algorithms, and computational modelling, often taught with applied projects using languages such as Python, MATLAB or C++. Electives allow exploration of probability and statistics, optimisation, scientific visualisation, and interdisciplinary applications in physics, biology or economics.

The programme emphasises active learning: small seminars, problem sessions, computer lab work and capstone projects. Many students complete a senior thesis or an independent research project under faculty supervision that integrates mathematical theory with computational implementation, and there are options to pursue internships or collaborative research with faculty across campus.

Entry requirements

Successful applicants typically demonstrate strong preparation in high-school mathematics, including calculus where available, and show evidence of quantitative reasoning skills. Recommended background includes calculus (or an equivalent advanced mathematics course) and familiarity with algebra and functions; prior programming experience is beneficial but not always required. Admissions criteria consider the whole application—academic record, letters of recommendation, and a personal statement—so applicants who show aptitude for logical thinking and problem solving are competitive.

For transfer applicants or those with advanced placement credit, introductory university mathematics courses may be waived where appropriate; prospective students should consult Susquehanna's admissions and mathematics department for specific placement procedures.

Career prospects

Graduates with a computational mathematics concentration are well placed for careers that require strong quantitative and programming skills. Common paths include roles in data analysis, software development, quantitative finance, operations research, scientific computing, and technology consulting. Graduates also pursue graduate study in applied mathematics, computer science, statistics, data science or engineering.

The combination of mathematical modelling and computational practice prepares students for positions that bridge theory and implementation—such as developing algorithms, building simulation tools, or analysing large datasets—and for internships or entry-level roles in industry, government labs and research institutions. Susquehanna alumni frequently leverage undergraduate research, internships and the university's career services to transition into employment or advanced degrees.

Why study at Susquehanna University

Susquehanna offers a liberal-arts environment with small class sizes and close faculty mentorship, which benefits students in mathematically intensive programmes that require guided problem solving and project supervision. The mathematics department supports individualized learning through independent study, senior projects and opportunities to co-author or present research. Interdisciplinary collaboration is encouraged, so computational mathematics students can work with departments such as computer science, physics or economics on applied problems.

Students also gain experiential learning via internships, on-campus research, and study-away options that broaden practical experience. The university's career services and alumni network provide support for internships and graduate-school preparation, helping students turn their analytical and computational skills into professional opportunities.