Florida State University

What you'll study

The programme combines core mathematics subjects with applied and computational coursework. Early study typically covers the calculus sequence, multivariable calculus, linear algebra and differential equations. Core theory courses include foundations of analysis, abstract algebra and discrete mathematics; computational and applied offerings emphasise numerical analysis, scientific computing, mathematical modelling and computational linear algebra.

Students learn programming and software tools commonly used for computation and data work (for example Python, MATLAB or equivalent languages and environments) alongside courses in algorithms, numerical methods and probability and statistics. The curriculum also provides options for electives in related areas such as computer science, statistics, physics or engineering to support interdisciplinary project work.

Upper‑level experience commonly includes project‑based courses or a capstone, and there are opportunities for undergraduate research or an honours thesis under the supervision of faculty in the Department of Mathematics. Typical modules and topics include:

• Multivariable calculus and advanced calculus/real analysis
• Linear algebra and computational linear algebra
• Differential equations and dynamical systems
• Numerical analysis and scientific computing
• Probability, mathematical statistics and stochastic processes
• Discrete mathematics, combinatorics and algorithmic methods
• Mathematical modelling and optimisation
• Programming for mathematicians and data structures

Entry requirements

Applicants should hold a recognised secondary school qualification with strong performance in mathematics. Successful applicants typically have completed pre‑calculus and preferably calculus at the high‑school level. Postsecondary preparation in physics or computer science is desirable but not required.

For domestic applicants the university accepts the standard admissions route; standardised tests may be optional according to university policy. International applicants must present an equivalent academic credential plus evidence of English language proficiency when required. Mathematics placement or diagnostic testing may be used to determine the correct starting point in the calculus sequence.

Typical preparation includes:

• A solid high‑school mathematics background, ideally including calculus
• Experience with problem solving and exposure to computational thinking or programming where possible
• Meeting Florida State University general admissions criteria and any programme‑specific prerequisites

Career prospects

Graduates with a computational mathematics specialism have a wide range of career paths. Common destinations include roles as data analysts and data scientists, software or systems engineers, quantitative analysts in finance, and computational scientists in research and engineering. Employers span technology companies, financial services, government research labs, energy and environmental consultancies, and healthcare analytics.

Many graduates also pursue postgraduate study — master’s or doctoral programmes in applied mathematics, computational science, statistics, computer science or engineering — to prepare for specialised research or advanced technical roles. The degree also provides solid preparation for professional examinations such as actuarial exams for students who pursue that route.

Why study at Florida State University

Florida State University’s Department of Mathematics offers a broad undergraduate curriculum with access to faculty who are active in both pure and applied research. Students benefit from opportunities for undergraduate research, interdisciplinary collaboration with computer science, engineering and statistics departments, and access to computing resources useful for large‑scale numerical work and data analysis.

FSU provides a supportive campus environment in Tallahassee with advising, internship services and career resources to help students connect coursework to industry and graduate study. The department also runs seminars, student organisations and outreach activities that allow undergraduates to build practical experience, network with researchers and potential employers, and prepare for diverse careers involving computation and mathematics.