Southern Methodist University

What you'll study

The programme combines rigorous coursework in core mathematical methods with applied electives and computational practice. Typical core topics include differential equations, numerical analysis, applied linear algebra, and mathematical modelling. Elective options commonly cover areas such as scientific computing, optimisation, probability and stochastic processes, mathematical biology, dynamical systems, and data science methods.

Students choose between thesis and non-thesis tracks or a project-based option, allowing either an emphasis on research preparation or on practical, team-based problem solving. Coursework is complemented by seminars, reading courses, and opportunities to work with faculty on applied research problems. Practical components often involve programming in languages and environments used in industry and research (for example Python, MATLAB or C++) and the use of high-performance or cloud computing resources.

Entry requirements

Applicants are normally required to hold a bachelor’s degree in mathematics, applied mathematics, engineering, physics, computer science, or a closely related quantitative field. A solid foundation in calculus, linear algebra, differential equations and basic probability or statistics is expected.

Typical application materials include academic transcripts, a statement of purpose outlining academic and professional goals, letters of recommendation (usually two or three), and a current curriculum vitae or resume. International applicants must demonstrate English proficiency through an accepted test or by meeting university-wide English language requirements. The programme may consider standardised test scores (such as the GRE) where provided, but policies on testing can vary; applicants should consult the department for current guidance.

Career prospects

Graduates enter a wide range of roles in industry and academia. Common destinations include data scientist, quantitative analyst in finance, modelling and simulation engineer, operations researcher, and applied mathematician in technology or engineering firms. Alumni also move into roles in energy, telecommunications, life sciences and consulting, where mathematical modelling and computational skills are in demand.

The degree also provides strong preparation for doctoral study in applied mathematics, computational science or related fields. The programme’s emphasis on applied projects and industry-relevant tools supports students seeking internships and employment in the Dallas–Fort Worth regional economy and beyond.

Why study at Southern Methodist University

Southern Methodist University’s Department of Mathematical Sciences offers the Master of Science in Applied Mathematics within a research-active liberal arts and professional university setting. Students benefit from small class sizes, direct access to faculty working in areas such as numerical analysis, dynamical systems and mathematical biology, and opportunities to join applied research projects.

SMU’s location in Dallas provides close links to a large regional economy with strengths in finance, energy, telecommunications and technology, facilitating internship and employment contacts. The university also provides computing facilities and collaborative centres that support interdisciplinary projects, enabling students to apply mathematical methods to problems in engineering, data science and industry.

Overall, the programme suits students who want a mathematically rigorous education with practical training and close faculty mentorship, whether their goal is professional work in industry or further research study.