Cost & earnings at Benedictine University What students borrow here, and what they go on to earn
The Bachelor of Science in Mathematics with a Computational Mathematics focus at Benedictine University combines rigorous mathematical theory with practical computing skills for modelling, simulation and data analysis. It suits students who enjoy problem solving, programming and applying quantitative methods to real-world problems in science, engineering, finance and technology.
The programme builds a strong foundation in pure and applied mathematics alongside computational methods and programming. You will complete core mathematics courses such as calculus, multivariable calculus, linear algebra, differential equations and real analysis. Applied and computational components include numerical analysis, scientific computing, mathematical modelling, algorithms, and data structures. Additional relevant topics often offered within the curriculum or as electives include probability and statistics, discrete mathematics, abstract algebra, optimisation, and computational linear algebra. Students gain programming experience in languages and environments commonly used for scientific computing and data analysis (for example Python, MATLAB or similar), and undertake a senior capstone or research project that integrates mathematical theory with computational implementation.
The degree is delivered within Benedictine University’s liberal-arts framework, so you will also take general education courses in the humanities, social sciences and natural sciences and have opportunities for internships, undergraduate research and interdisciplinary collaboration. Small class sizes emphasise direct interaction with faculty and hands-on work in computing and mathematics laboratories.
Benedictine University typically requires applicants to have completed a recognised secondary-school qualification with a strong preparation in mathematics. Successful candidates usually have studied algebra, geometry and precalculus or calculus. Admissions considers the overall academic record, including GPA and the strength of the secondary-school programme. Where standardised tests are used, results may be requested or considered according to the university’s testing policies; check current admissions guidance for the latest position.
Other elements of a competitive application include a personal statement demonstrating interest in mathematics and computing, and letters of recommendation from teachers who can speak to your mathematical ability. International applicants must meet the university’s English language proficiency requirements, demonstrated through recognised tests or approved alternatives. Mature or transfer students will be assessed on prior university-level coursework and credits; transfer credit for mathematics and computer science courses may be awarded when they align with programme requirements.
Graduates with a computational mathematics specialism are well placed for careers that require quantitative analysis, algorithmic thinking and computational implementation. Common entry roles include data analyst, quantitative analyst, software developer, operations research analyst, modelling specialist and statistical programmer. Employers span technology firms, finance and insurance companies, engineering consultancies, government agencies, research laboratories and healthcare analytics teams.
The degree also provides a strong foundation for further study. Graduates frequently progress to master’s or PhD programmes in applied mathematics, computer science, data science, statistics, engineering or related fields, or pursue professional certifications required in specialised careers such as actuarial work or quantitative finance.
Benedictine University offers an undergraduate environment with small classes and close faculty mentoring, which benefits students studying abstract and computationally intensive subjects. The university emphasises undergraduate research opportunities and practical experience; mathematics students can undertake faculty-supervised projects and participate in internships that build a portfolio of applied work. Academic advising and career services support placement and graduate-study preparation.
Facilities for computational mathematics include modern computer labs and access to commonly used scientific and statistical software. The university’s liberal-arts emphasis supports strong communication skills and ethical reasoning, helping graduates present technical results clearly and responsibly. Located near a major metropolitan area, Benedictine provides access to internship and employment opportunities with regional employers while maintaining a focused campus community.
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