University of North Florida

What you'll study

The programme combines rigorous mathematical theory with computational and application-focused coursework. Core topics typically include advanced calculus and real analysis, linear algebra for applications, ordinary and partial differential equations, numerical analysis and scientific computing, and probability and stochastic processes. Students study mathematical modelling and optimisation techniques and learn to implement algorithms for simulation, data fitting and large-scale computation.

Elective options allow specialisation in areas such as computational fluid dynamics, numerical methods for partial differential equations, inverse problems, machine learning and data analysis, mathematical biology, and financial mathematics. The degree may be completed through a coursework-only route or by a research route that includes a supervised thesis or a substantial applied project. Students gain experience with high-level programming languages and numerical libraries, as well as with mathematical software for symbolic and numerical computation.

Entry requirements

Applicants should normally hold a bachelors degree in mathematics or a closely related field (for example physics, engineering, computer science or statistics) from an accredited institution. A solid foundation in calculus, linear algebra and differential equations is expected, together with some exposure to proof-based courses and basic programming.

Typical application materials include official academic transcripts, a personal statement describing academic and professional objectives, and letters of recommendation. Some applicants may be invited to provide evidence of quantitative preparation or to take preparatory courses if their background is incomplete. International applicants must demonstrate English language proficiency by providing recognised test scores or equivalent documentation.

Career prospects

Graduates are prepared for a wide range of careers where advanced quantitative and computational skills are required. Common roles include data scientist/analyst, quantitative analyst, numerical modeller, operations research analyst, software engineer focusing on scientific computing, and research analyst in industry or government. Employers span technology companies, financial services, engineering firms, healthcare and pharmaceutical companies, defence and policy organisations, and consulting firms.

The programme also serves as preparation for doctoral study in applied mathematics, computational science, engineering or related disciplines, and for positions in research laboratories where strong mathematical modelling and programming abilities are essential.

Why study at University of North Florida

The University of North Florida offers a supportive environment with relatively small class sizes and accessible faculty who are active in applied research. Students benefit from opportunities to work on interdisciplinary projects with departments such as engineering, computer science and biology, and to engage in applied research with regional industry partners.

UNF provides computing facilities and access to common mathematical and scientific software, and the programme emphasises the practical implementation of mathematical methods on real datasets and simulation problems. Its location in the Jacksonville metropolitan area also offers networking and internship opportunities with local companies and public-sector organisations, which can be advantageous for students seeking applied experience alongside their studies.