This Master’s programme in Mathematics with a focus on Computational Mathematics trains students in numerical methods, scientific computing and mathematical modelling for real-world problems. It suits graduates with a strong quantitative background who want to develop advanced computational skills for careers in industry, research or further doctoral study.
The programme combines rigorous mathematical theory with practical computational techniques. Core topics typically include numerical analysis, numerical linear algebra, scientific computing, computational methods for differential equations, and optimisation. Students also study supporting subjects such as probability and stochastic processes, advanced calculus, and mathematical modelling.
Students choose from elective modules that may cover areas such as high-performance computing, data analysis and machine learning, computational statistics, finite element methods, and applied dynamical systems. The programme is offered with thesis and non-thesis (project) options: the thesis route emphasizes independent research under faculty supervision, while the non-thesis route culminates in a substantial applied project or practicum.
Seminars and colloquia expose students to current research and applications, and many students undertake coursework or projects that involve coding, algorithm development, and use of scientific computing environments and libraries.
Applicants should hold a bachelor’s degree in mathematics or a closely related quantitative discipline such as statistics, physics, engineering or computer science. Successful candidates will normally have completed undergraduate coursework in calculus, linear algebra, differential equations, and an introduction to proof-based mathematics.
The department expects applicants to demonstrate strong quantitative ability through transcripts, letters of recommendation and a personal statement describing relevant background and goals. International applicants must meet the university’s English language requirements. Some applicants may be asked to submit scores from standardised tests or to take preparatory coursework if their background is judged insufficient in key areas.
Graduates with training in computational mathematics are well placed for careers that require advanced numerical and programming skills. Typical roles include data scientist, quantitative analyst, numerical modeller, software engineer for scientific applications, and computational scientist in industry, government laboratories or research institutes.
Alumni also pursue doctoral study in applied mathematics, computational science or related disciplines, and many find positions in sectors such as finance and insurance, engineering firms, technology companies, healthcare analytics, and energy and environmental modelling. The programme’s emphasis on both theory and computation helps graduates adapt to roles that bridge mathematics, statistics and computer science.
MTSU’s Department of Mathematical Sciences offers a supportive environment with faculty active in applied and computational research who supervise graduate research and projects. The university provides access to modern computing resources and software commonly used in scientific computing, and students benefit from collaborations across departments such as computer science and engineering technology.
Located within a dynamic regional economy, MTSU gives students opportunities for internships and applied projects with local industry and research partners. Graduate assistantships and teaching opportunities are available to qualified students, providing professional development as well as financial support. The department’s emphasis on practical computation and modelling equips graduates with skills that are in demand across a broad range of careers.
Shortlist scholarships and plan your application — free guidance from our advisors.