University of Southern Mississippi

What you'll study

The programme emphasises numerical and computational approaches to continuous and discrete problems. Core topics typically include numerical linear algebra, numerical methods for ordinary and partial differential equations, scientific computing, optimisation and mathematical modelling. Students also take courses in probability and statistics, algorithms and programming for mathematicians (with common languages including Python, MATLAB and C/C++), and may select electives such as machine learning, dynamical systems, inverse problems or high-performance computing.

The degree is offered with both thesis and non-thesis options. The thesis route focuses on an original research project under faculty supervision and is suited to students preparing for doctoral study or research careers. The non-thesis route normally includes an applied project or practicum and additional coursework to strengthen practical computational skills.

Typical modules and activities

• Numerical Linear Algebra
• Numerical Methods for ODEs and PDEs
• Scientific Computing and Software for Mathematics
• Mathematical Optimisation and Variational Methods
• Probability, Statistics and Data Analysis
• Computational Modelling and Simulation
• Research project or applied practicum / thesis

Entry requirements

Applicants should normally hold a bachelor’s degree in mathematics or a closely related discipline (such as applied mathematics, physics, engineering, computer science or statistics) with a solid foundation in calculus, linear algebra and differential equations. Admissions committees typically expect evidence of quantitative preparation, which can include transcripted coursework and grades.

Required supporting materials generally include official transcripts, a statement of purpose that describes mathematical and computational experience and goals, and letters of recommendation from academic or professional referees. Some candidates may be asked to demonstrate programming experience or present a portfolio of relevant work. International applicants must provide acceptable proof of English language proficiency if their prior instruction was not in English.

Career prospects

Graduates from the computational mathematics track enter a range of roles in industry, government and academia. Common career paths include:

• Computational scientist or numerical analyst in research laboratories and engineering firms
• Data scientist, quantitative analyst or machine learning engineer in finance, healthcare and technology sectors
• Software developer for scientific and engineering applications
• Research assistant or doctoral candidate in mathematics, computational science or related fields
• Technical roles in modelling and simulation for energy, environmental science and defence sectors

The programme’s emphasis on both theory and practical computing prepares students for positions that require strong problem-solving skills and the ability to implement robust numerical solutions.

Why study at University of Southern Mississippi

The University of Southern Mississippi offers a supportive environment with small class sizes that enable close interaction with faculty working in applied and computational mathematics. Students benefit from opportunities to collaborate across departments—such as engineering, coastal and marine sciences, and computer science—on interdisciplinary projects that apply computational techniques to real-world problems.

Facilities include access to departmental computing resources and software commonly used in numerical research and industry. The university provides advising and professional-development resources to help students prepare for careers or further study, and there are chances to gain hands-on experience through research assistantships, applied projects and internships with regional and national partners.