University of Southern Indiana

What you'll study

This programme builds a strong foundation in pure and applied mathematics while emphasising computational techniques and scientific computing. You will take a calculus sequence, linear algebra, differential equations and courses in real analysis to develop mathematical rigour. Computational and applied coursework typically includes numerical analysis, scientific computing, mathematical modelling, numerical linear algebra and algorithms for data processing. Complementary subjects include probability and statistics, discrete mathematics and optimization.

Programming instruction is integrated into the curriculum, with common languages and tools including Python, MATLAB and other high-level numerical libraries. The degree normally requires a senior capstone experience such as a project or seminar where students apply computational methods to a substantial problem, and opportunities are available for undergraduate research or internships with faculty supervision.

Typical modules

• Calculus I–III
• Linear Algebra
• Differential Equations
• Real Analysis or Advanced Calculus
• Numerical Analysis / Scientific Computing
• Mathematical Modelling
• Probability and Mathematical Statistics
• Discrete Mathematics and Algorithms
• Optimization or Computational Linear Algebra
• Capstone Project or Senior Seminar

Entry requirements

Applicants should hold a secondary-school diploma or recognised equivalent with strong preparation in mathematics. Successful candidates typically have completed courses in algebra, geometry and pre-calculus or calculus. Admissions consider overall academic record and standardised test results where applicable; applicants may be required to demonstrate readiness for college-level mathematics through placement testing or prior coursework.

For transfer applicants, transferable college-level mathematics credits and a cumulative GPA consistent with university transfer policies are reviewed. International applicants must meet the university's English language proficiency requirements. Prospective students should consult the University of Southern Indiana admissions pages for the full list of materials needed to apply and any programme-specific recommendations.

Career prospects

Graduates with a computational mathematics emphasis are prepared for careers that combine mathematical analysis and computing. Typical roles include data analyst, quantitative analyst in finance, software developer with a numerical focus, computational scientist, operations research analyst and roles in engineering firms that require modelling and simulation.

Alumni also go on to graduate study in applied mathematics, computer science, statistics or engineering, and some pursue teacher certification to teach mathematics at the secondary level. The programme’s emphasis on practical computing skills and project work helps students transition into industry positions, research assistantships or further academic study.

Why study at University of Southern Indiana

The University of Southern Indiana offers a supportive, small-campus environment with accessible faculty who supervise student research and capstone projects. The mathematics curriculum is designed to balance theoretical understanding and practical computational experience, with dedicated computing resources and laboratory facilities for numerical work.

USI maintains connections with regional employers and provides internship and experiential-learning opportunities that help students gain applied experience. Small class sizes and advising from departmental faculty make it easier for students to tailor the programme to career goals or graduate study plans, while campus resources support career preparation and placement.