Southern Methodist University

What you'll study

The programme builds a solid foundation in pure and applied mathematics while emphasising computational techniques used to solve real-world problems. Core subjects typically include multivariable calculus, linear algebra, ordinary and partial differential equations, real analysis and probability and statistics. Computational and applied components cover numerical analysis, scientific computing, mathematical modelling, optimisation, algorithms and data structures, and introductory machine learning methods.

Students also take laboratory-style or project-based courses that use high-level programming languages (such as Python, MATLAB or R) to implement numerical methods, run simulations and visualise results. The degree usually culminates in an individual or team capstone project or research experience where students apply computational mathematics to a substantive problem in science, engineering, finance or data analytics.

• Fundamental mathematics: calculus sequence, linear algebra, real analysis
• Computational courses: numerical analysis, scientific computing, algorithmic methods
• Applied topics: differential equations, optimisation, stochastic modelling, statistical computing
• Complementary skills: programming for mathematicians, data visualisation, software engineering practices
• Opportunities for undergraduate research, internships and an applied capstone project

Entry requirements

Applicants should hold a recognised secondary school qualification with strong preparation in mathematics. Successful candidates usually demonstrate high achievement in advanced mathematics courses (for example, calculus) and show competence in logical reasoning. Prior programming experience is beneficial and recommended, though not always mandatory.

Southern Methodist University evaluates applications holistically. Alongside academic transcripts, applicants are encouraged to provide examples of quantitative work, letters of recommendation, and any relevant project or competition experience that showcase mathematical and computational aptitude.

Career prospects

Graduates with a computational mathematics focus are well positioned for careers where quantitative analysis and computational problem solving are central. Common pathways include roles in data science and analytics, software and systems engineering, quantitative and risk analysis in finance, operations research, actuarial work and roles in technical consulting.

Many graduates also continue to postgraduate study in applied mathematics, computer science, statistics or engineering. The combination of rigorous mathematical training and practical computing skills is valued across technology firms, financial institutions, manufacturing and research organisations.

Why study at Southern Methodist University

Southern Methodist University offers a supportive undergraduate environment with small class sizes and opportunities for close faculty mentorship through the Dedman College of Humanities and Sciences. Its location in Dallas provides easy access to a large regional network of technology companies, financial institutions and research organisations for internships and collaborative projects.

Students benefit from active undergraduate research programmes, computing facilities and cross-disciplinary collaboration with departments such as computer science, engineering and economics. The university also offers career services and employer connections that help students translate mathematical and computational training into internship and employment opportunities.