Benedictine University

What you'll study

This interdisciplinary degree combines core mathematics coursework with a strong computer science curriculum to develop both theoretical understanding and practical skills. Typical study areas include:

• Mathematics core: calculus sequence, linear algebra, discrete mathematics, probability and statistics, and differential equations.
• Computer science core: programming (object-oriented and functional paradigms), data structures and algorithms, software engineering, databases, operating systems and computer architecture.
• Applied and advanced topics: numerical analysis, computational mathematics, machine learning, cryptography, computer networks and development of scalable systems.
• Capstone and experiential learning: senior project or capstone integrating mathematical modelling and software implementation; laboratory work and opportunities for internships with local and regional organisations.
• General education and electives: breadth courses across the liberal arts and elective choices that allow specialisation, for example in data science, actuarial mathematics or cybersecurity.

Entry requirements

Benedictine looks for applicants with a strong foundation in mathematics and demonstrated academic readiness for a STEM degree. Typical expectations include a secondary-school transcript showing solid performance in algebra, geometry and calculus where available, and good grades in related science and computing courses. Prior programming experience is beneficial but not always required; applicants without formal coding background may be asked to take preparatory modules.

Applicants should submit academic transcripts and any required supporting documentation for transfer or international applicants. English language proficiency evidence is required for non-native speakers. Prospective students are encouraged to contact admissions to discuss individual circumstances, portfolio examples or relevant extracurricular experience.

Career prospects

Graduates of this programme are prepared for a wide range of roles where quantitative reasoning and computing skills are central. Common career paths include:

• Software developer or engineer, building applications and systems.
• Data analyst or data scientist, using statistical and computational methods to extract insights from data.
• Systems analyst, database administrator or network specialist supporting IT infrastructure.
• Quantitative roles in finance or actuarial positions (additional professional exams may be required for actuarial careers).
• Academic or industry research and continued study at graduate level in mathematics, computer science or related fields.

Students also benefit from Benedictine’s career services and connections with regional employers to secure internships and entry-level positions.

Why study at Benedictine University

Benedictine University offers a close-knit learning environment with small class sizes and accessible faculty who balance scholarship and practical experience. The university emphasises hands-on learning, giving students access to computer labs, collaborative project spaces and opportunities for undergraduate research guided by faculty members.

The programme’s location provides connections to a diverse set of employers in the Chicago metropolitan area and beyond, supporting internship and job placement opportunities. Additionally, Benedictine’s liberal arts foundation encourages communication, ethical reasoning and interdisciplinary understanding—skills that complement technical training and prepare graduates for adaptable careers.