Syracuse University

What you'll study

The Applied Mathematics curriculum builds a foundation in pure and applied mathematical methods and emphasises computation and modelling. You will normally progress through a core sequence including multivariable calculus, linear algebra, differential equations and real analysis, then move on to applied and computational topics such as numerical analysis, scientific computing, optimisation, partial differential equations and dynamical systems.

• Core mathematical methods: single and multivariable calculus, linear algebra, ordinary differential equations, real analysis.
• Applied and computational modules: numerical methods, scientific computing, numerical linear algebra, numerical PDEs, mathematical modelling.
• Probability and statistics: probability theory, mathematical statistics, stochastic processes, statistical modelling and data analysis.
• Advanced and elective topics: optimisation, operations research, computational geometry, dynamical systems, complex variables, and electives drawn from computer science, physics, engineering and economics.
• Capstone and experiential learning: a senior project, thesis or practicum that emphasises modelling, data analysis or software development, plus opportunities for internships and undergraduate research with faculty.

Students are encouraged to take complementary coursework in computer programming, data structures, machine learning, and domain areas where mathematical tools are applied. The programme emphasises both theory and hands‑on computation, with liberal use of high‑level languages and scientific computing environments.

Entry requirements

Admission to Syracuse University is competitive. Applicants to the Applied Mathematics major should demonstrate strong preparation in high school mathematics—typically through calculus and pre‑calculus—and a solid background in algebra and geometry. Schoolspecific prerequisites may include introductory calculus or placement testing.

• Recommended academic background: calculus (ideally completed through at least first‑year college calculus), strong algebraic skills, and coursework in physics or computer science where available.
• Standardised testing and credentials: Syracuse considers a range of credentials for domestic and international applicants; standardised test submission policies vary, and applicants should consult the university’s undergraduate admissions pages for current guidance.
• International qualifications: applicants presenting international curricula (for example A‑levels or the IB diploma) should include mathematics at a sufficiently advanced level; many students also present Further Mathematics, higher‑level IB mathematics or equivalent.
• Additional indicators: strong letters of recommendation, a clear record of quantitative coursework, and examples of analytical or research experience (such as mathematics competitions, independent projects or internships) strengthen an application.

Career prospects

Graduates with a Bachelor in Applied Mathematics are well placed for technically oriented roles and further study. The training in modelling, analysis and computation is valued across multiple sectors.

• Data analyst, data scientist or business intelligence roles in technology, healthcare, retail and government.
• Quantitative analyst or risk modeller in finance, insurance and fintech.
• Software development and engineering roles that require strong algorithmic and numerical skills.
• Operations research, optimisation and logistics positions in manufacturing, consulting and transport.
• Actuarial positions (with additional professional exam preparation) and statistical consulting.
• Research and graduate study in applied mathematics, computational science, statistics, engineering and related fields.

Students typically complement their degree with internships, co‑op experiences, or minors in computer science, economics or engineering to broaden employability. Syracuse’s career services and alumni network are resources for securing internships and graduate placements.

Why study at Syracuse University

Syracuse University offers an Applied Mathematics programme that combines small‑group instruction in advanced mathematics with access to computational facilities and interdisciplinary collaboration. The campus emphasises undergraduate research, giving students opportunities to work with faculty on modelling and computation projects.

• Interdisciplinary options: easy access to courses and minors in computer science, engineering, physics, economics and data science, enabling tailored degree plans.
• Undergraduate research and mentorship: opportunities to participate in faculty research and to complete capstone projects that showcase applied mathematical work.
• Computational resources: teaching and research facilities that support numerical simulation, data analysis and high‑performance computing tasks.
• Career support: active career services, internship pipelines and an alumni network that connect students with employers in technology, finance and government.
• Location advantages: the university’s location and partnerships provide regional and national internship opportunities while maintaining a residential campus environment.

Overall, the Applied Mathematics degree at Syracuse prepares students for analytically demanding careers or for continued study in graduate programmes by combining mathematical rigour with practical, computational skills.