Georgia Southern University

What you'll study

The Computational Mathematics track emphasises numerical analysis, algorithms for scientific computing and the mathematical foundations of computation. Coursework typically covers numerical linear algebra, numerical methods for ordinary and partial differential equations, scientific computing, optimisation, and mathematical modelling. Students also study core graduate-level mathematics such as real analysis and advanced linear algebra, and select electives in areas like probability and statistics, computational geometry, or machine learning depending on interests.

The programme is offered with both thesis and non‑thesis (project or coursework) options. A thesis route allows students to undertake supervised research in computational methods and develop specialist expertise, while the non‑thesis route focuses on advanced coursework and a capstone project demonstrating applied computational skills. Practical training in programming environments commonly used in the discipline (for example MATLAB, Python and high‑performance computing tools) is an important component of the curriculum.

Entry requirements

Applicants are expected to hold a bachelor’s degree in mathematics, applied mathematics or a closely related field such as physics, engineering or computer science. Admission typically requires evidence of strong undergraduate preparation in calculus, linear algebra and differential equations; coursework in probability, numerical analysis or programming is advantageous.

Admissions decisions are based on the academic record, letters of recommendation, a statement of purpose that explains research or career goals, and any relevant experience in computational work or research. International applicants must demonstrate English language proficiency through recognised tests unless exempt. Some applicants with degrees in related fields may be admitted with conditional requirements to make up specific undergraduate mathematics prerequisites.

Career prospects

Graduates with a computational mathematics master’s are prepared for roles that require advanced quantitative and computational skills. Typical career paths include computational scientist, numerical analyst, data scientist, quantitative analyst, software developer for technical computing, and modelling specialist in sectors such as engineering, finance, energy, defence and environmental science. Many graduates also use the degree as preparation for doctoral study in applied mathematics, computational science or related interdisciplinary fields.

Hands‑on project experience and a thesis option both help build a portfolio of work that employers and doctoral programmes value. Graduates often find opportunities in regional technology and engineering firms as well as national research laboratories and consulting organisations.

Why study at Georgia Southern University

Georgia Southern’s Department of Mathematical Sciences offers small class sizes and direct access to faculty whose research and teaching include applied and computational mathematics. The department emphasises close mentorship, opportunities for collaborative research projects, and practical training in numerical and programming tools used in industry and research.

Students benefit from access to campus computing resources, interdisciplinary collaborations with engineering and science departments, and opportunities to gain teaching or research assistantships. The university’s regional connections make it straightforward to pursue internships and applied projects with local and regional employers, helping bridge academic training and professional experience.