University of Tennessee

What you'll study

The programme builds a solid core in pure and applied mathematics while emphasising numerical methods, algorithmic thinking and scientific computing. Core coursework typically includes multivariable calculus, linear algebra, differential equations, real analysis and probability. Computationally oriented modules cover numerical analysis, numerical linear algebra, numerical solutions of partial differential equations, scientific computing, mathematical modelling and optimization.

Students also take supporting courses in computer science and statistics to develop programming and data-handling skills; commonly used languages and tools include Python, MATLAB, and occasionally C/C++ or high-performance computing frameworks. The curriculum often culminates in a senior seminar or capstone project in which students complete a computational modelling, data-analysis or simulation project under faculty supervision.

• Core mathematical foundations: calculus sequence, linear algebra, ordinary differential equations, real analysis
• Computational and applied topics: numerical analysis, numerical linear algebra, PDEs, optimisation, scientific computing
• Supporting technical skills: introductory to advanced programming, data structures, probability and statistics
• Capstone or research project: independent applied project or undergraduate research with faculty
• Electives and interdisciplinary options: courses from statistics, computer science, physics, engineering and data science

Entry requirements

Admission to the University of Tennessee requires a completed secondary school credential equivalent to a US high school diploma and a competitive academic record. For the mathematics major, successful applicants typically present strong preparation in high school mathematics including precalculus and calculus where available. Demonstrated competence in algebra, trigonometry and introductory calculus is expected.

Recommended preparations include prior exposure to calculus and some experience with programming or logic. Transfer students should have completed college-level calculus and linear algebra to place into advanced departmental courses. Admissions decisions also consider the overall record, personal statement and any relevant extracurricular activities; specific GPA thresholds and any test-optional policies are determined by the university and may vary.

Career prospects

Graduates with a computational mathematics degree are well placed for careers that blend quantitative analysis, modelling and software skills. Typical entry-level roles include data analyst, junior data scientist, quantitative analyst, software developer, modelling and simulation engineer, operations research analyst and roles in scientific computing.

Alumni also pursue graduate study in applied mathematics, computational science, statistics, data science, engineering or computer science. The programme’s focus on numerical methods and programming is valued across sectors such as finance, energy, engineering, technology, healthcare analytics and national laboratories.

Why study at University of Tennessee

The University of Tennessee offers a mathematics department with active faculty in applied and computational fields and opportunities for undergraduate research. Its proximity to major research facilities and national laboratories provides unique collaborative and internship possibilities for students interested in high-performance computing and applied modelling.

Students benefit from accessible academic advising, opportunities to take interdisciplinary courses across statistics, computer science and engineering, and extracurricular groups such as the mathematics club and honour society chapters. Practical training in programming and numerical methods, plus capstone project options and industry connections, prepare graduates for both professional roles and further study.