Middle Tennessee State University (MTSU)

What you'll study

The Computational Mathematics concentration builds on core mathematical foundations while emphasising numerical methods, algorithmic thinking and scientific computing. You will complete a standard calculus sequence and introductory linear algebra, then progress to intermediate and advanced courses such as real analysis, abstract algebra and differential equations. Computational-specific modules typically include numerical analysis, scientific computing, numerical linear algebra, mathematical modelling, and computational methods for differential equations. Programming and software coursework — often taught using languages and tools such as Python, MATLAB, or comparable environments — is integrated throughout the curriculum.

Students also study applied probability and statistics, discrete mathematics and electives that allow specialisation in areas like optimisation, data analysis, computational geometry or machine learning foundations. The programme usually culminates in a senior capstone project or research experience where students apply computational techniques to a substantive mathematical or applied problem, and students may take additional practicum or internship hours to gain workplace experience.

Entry requirements

Applicants should hold a recognised secondary-school qualification with strong performance in mathematics. Typical preparation includes pre-calculus and calculus in high school and a solid grounding in algebra. MTSU considers the full academic record; additional evidence of quantitative readiness such as placement testing or prior college-level mathematics may be used to determine appropriate course placement.

For transfer students, transferable college mathematics credits (for example, introductory calculus and algebra) help place students into the correct level courses. Prospective students who expect to teach in K–12 settings should review teacher education requirements, which include additional coursework and certification steps beyond the mathematics major.

Career prospects

Graduates from the Computational Mathematics pathway are prepared for a variety of careers that require analytical and computational skills. Common roles include data analyst, quantitative analyst, operations research analyst, software developer or numerical modeller in industries such as finance, engineering, technology, manufacturing and government. Graduates also move into applied research or pursue graduate study in mathematics, applied mathematics, computer science, statistics, engineering or related fields.

With additional credentialing or coursework, graduates may pursue secondary-school mathematics teaching. The emphasis on computing and numerical methods makes this degree particularly relevant for positions that blend mathematics with programming and data-driven decision-making.

Why study at Middle Tennessee State University (MTSU)

MTSU offers a mathematics programme with a strong undergraduate focus, accessible faculty and opportunities for hands-on experience. Students benefit from small-class interactions with faculty who are active in research and mentoring, and from opportunities to participate in undergraduate research projects that apply computational methods to real problems.

The university provides computing resources and lab facilities that support numerical and scientific computing, and maintains connections with regional employers and industry partners that can lead to internships or applied projects. For students seeking a balance of theoretical rigour and practical computing skills, MTSU’s combination of coursework, capstone options and experiential learning supports progression into both professional roles and further study.