university of illinois springfield

What you'll study

The Computational Mathematics emphasis combines the foundation of a mathematics degree with courses in numerical methods and scientific computing. You will complete the core calculus sequence, linear algebra, differential equations and an introduction to proof-based mathematics (such as real analysis or advanced calculus). Core computing and computational modules commonly include numerical analysis, scientific programming, algorithms, mathematical modelling, and computational linear algebra. Additional coursework typically covers probability and statistics, discrete mathematics, and electives in applied topics such as optimisation, dynamical systems, or partial differential equations.

Programme structure usually includes general education requirements, a set of required mathematics core courses, several concentration electives in computational mathematics, and a capstone experience — either a senior seminar, an applied project, or an independent research practicum that integrates mathematical techniques with coding and data analysis. Practical skills emphasised across the programme are proficiency in a modern programming language used for scientific computing (for example Python, MATLAB, or C++), numerical computation, data visualisation, and use of computational libraries and environments.

Entry requirements

Admission to the bachelor programme normally requires a high school diploma or equivalent and an official transcript. Applicants are expected to have a strong background in mathematics from high school — typically including algebra, geometry and precalculus; completion of calculus before entry is highly recommended and advantageous. UIS considers overall academic record; minimum GPA expectations vary by applicant pool. Standardised test submission policies may be flexible or optional; check the university’s admissions pages for current guidance.

Transfer applicants should provide college transcripts and will have transfer credits evaluated; students transferring with community college mathematics courses (for example calculus or discrete math) often place more quickly into higher-level courses. Mature students and those with non-traditional backgrounds are considered; bridging courses are available to ensure readiness for proof-based and computational coursework.

Career prospects

Graduates with a computational mathematics emphasis are well prepared for careers that combine quantitative reasoning with programming. Common entry-level roles include data analyst, quantitative analyst, software developer (with a numerical or algorithmic focus), operations research analyst, and roles in scientific computing or simulation. Employers span tech firms, financial services, government agencies, engineering consultancies, and healthcare analytics groups.

Many graduates also use the degree as preparation for further study — master’s or doctoral programmes in applied mathematics, computational science, data science, statistics, engineering, or actuarial science. The strong mathematical foundation and computing experience also support professional certification pathways (such as actuarial exams) and career progression into research, technical leadership or specialised modelling roles.

Why study at university of illinois springfield

University of Illinois Springfield offers a close-knit campus environment with small class sizes that promote direct faculty interaction and mentoring. Mathematics students benefit from opportunities for undergraduate research and applied projects, often working alongside faculty on computational problems or in collaboration with other departments such as computer science and physics.

UIS provides access to computing labs, numerical software and high-performance computing resources suitable for coursework and senior projects. The university’s connections with state agencies and local employers create internship and practicum opportunities that help students gain practical experience. Career services and academic advising support students in securing internships, preparing for graduate study, and planning career pathways that leverage both mathematical rigour and computational skills.