University of North Florida

What you'll study

The Computational Mathematics concentration builds a firm foundation in core mathematical theory and pairs it with coursework in numerical methods, computational modelling and programming. Typical components include the core calculus sequence, linear algebra, differential equations and real analysis, together with applied courses such as numerical analysis, scientific computing, mathematical modelling and computational linear algebra.

• Foundations: Calculus I–III, Linear Algebra, Differential Equations
• Theory: Real Analysis, Abstract Algebra or Advanced Linear Algebra
• Computational and applied courses: Numerical Methods/Analysis, Scientific Computing, Mathematical Modelling, Computational Mathematics electives
• Supporting topics: Probability and Statistics, Discrete Mathematics, Mathematical Optimisation
• Programming and tools: Coursework and labs using languages and environments common in computational work (for example Python, MATLAB, or similar), plus exposure to algorithms and data structures as appropriate
• Capstone/Project: A senior project or seminar that emphasises application of computational techniques to a substantive problem, often with opportunities for collaboration with faculty or industry partners
• General education and electives: University general education requirements and elective credits allow students to tailor the degree towards interdisciplinary applications such as finance, engineering, biology or computer science

Entry requirements

Admission to the University of North Florida typically requires a completed secondary school diploma or recognised equivalent. Applicants are evaluated on academic record, curriculum strength and other standard materials. For first-year entry to the mathematics programme, successful applicants generally have a strong background in high-school mathematics, including algebra, geometry and precalculus or calculus.

Transfer applicants should supply official college transcripts; credit for prior mathematics and calculus courses is commonly assessed for placement. International applicants must meet the university's English language proficiency requirements and provide evidence of equivalent secondary and/or post-secondary qualifications. Specific entry standards and recommended preparation are available from the UNF Office of Admissions and the Department of Mathematics.

Career prospects

Graduates with a Computational Mathematics degree are well positioned for a range of careers that require quantitative problem-solving and computational skills. Common career paths include:

• Data analyst or data scientist roles in industry and government
• Software development and engineering positions that value algorithmic and numerical expertise
• Quantitative analyst roles in finance and risk management
• Actuarial work and roles in insurance that use probability and statistical modelling
• Operations research, optimisation and logistics
• Technical roles in engineering, scientific research and computational modelling
• Graduate study in mathematics, applied mathematics, computer science, statistics or engineering

Why study at University of North Florida

The University of North Florida offers a mathematics programme with a balance of theoretical rigour and practical computational training, delivered in a campus environment with relatively small class sizes and accessible faculty. Students benefit from computing laboratories, project-based senior experiences and opportunities to collaborate with faculty on applied research. UNF's location in Jacksonville provides access to regional employers, internships and networking opportunities in technology, finance, logistics and public sector organisations, which can help students gain practical experience and launch careers or continue to graduate study.