University of Mississippi

What you'll study

The computational mathematics pathway builds a solid foundation in pure and applied mathematics while emphasising numerical methods and algorithmic implementation. You study the core calculus and linear algebra sequence alongside courses in differential equations, real analysis and probability and statistics. Computational-focused modules introduce numerical analysis, scientific computing, numerical linear algebra, mathematical modelling and optimisation.

• Core mathematical subjects: calculus sequence, multivariable calculus, linear algebra, differential equations, and real analysis.
• Computational and applied topics: numerical analysis, scientific computing, numerical linear algebra, computational modelling, and optimisation methods.
• Programming and tools: practical training in programming for computation (commonly Python, MATLAB or similar), algorithm design, and software used for mathematical computation and data handling.
• Statistics and probability: mathematical probability, applied statistics and data analysis to support computational work.
• Capstone and research: senior seminar, capstone project or undergraduate research project that typically involves implementing numerical methods and analysing real data or models.
• Electives and interdisciplinary options: courses in scientific computing, computational physics, machine learning, numerical PDEs, and electives from engineering, computer science or economics to tailor the degree to specific career goals.

Entry requirements

Admission to the University of Mississippi is based on a candidate's overall academic record. For the computational mathematics pathway, successful applicants typically present a strong high-school transcript with substantial achievement in mathematics and related STEM subjects. Preparation such as AP Calculus, IB Higher Level Mathematics, or college-level calculus is recommended.

Applicants should demonstrate quantitative readiness through coursework and, where submitted, standardised test scores. International applicants are expected to meet the university's English language requirements and provide equivalent documentation of secondary education preparation. Transfer applicants will usually need to show college-level mathematics progress and a clear course-by-course record.

Career prospects

Graduates with a computational mathematics focus are equipped for roles that require mathematical modelling, numerical computation and data analysis. Common career paths include:

• Data analyst, data scientist or quantitative analyst in finance, technology and consulting
• Software developer or scientific programmer working on numerical algorithms and simulations
• Actuarial analyst, applying probability and statistics to insurance and risk management
• Research or technical roles in engineering firms, national laboratories and government agencies
• Graduate study in applied mathematics, computational science, operations research, statistics or related fields
• Secondary school mathematics teacher, following completion of teacher preparation requirements if pursued

Why study at University of Mississippi

The Department of Mathematics and Statistics at the University of Mississippi offers a curriculum that balances rigorous theory with hands-on computational practice. Undergraduates have access to faculty-led research, computing labs and opportunities for capstone projects that collaborate with other departments such as computer science and engineering.

The campus supports experiential learning through internships and career services that connect students with regional and national employers. Small-to-medium class sizes in upper-level courses allow close faculty mentorship, and the programme prepares students both for immediate entry into technical roles and for competitive graduate study in computational and quantitative disciplines.