Lewis University

What you'll study

The programme blends foundational business subjects with quantitative methods, computing and applied analytics. You will take core courses in management, accounting, finance and marketing alongside a sequence of mathematics and statistics modules. Key topics typically include probability and statistics, linear algebra, regression and econometrics, optimisation and operations research, simulation modelling, forecasting, database design, and programming for data analysis (commonly using Python or R).

• Core business modules – principles of management, organisational behaviour, managerial accounting, business law and introductory finance.
• Quantitative core – calculus or applied mathematics, probability and statistics, regression analysis, time series and forecasting.
• Operations and optimisation – linear programming, decision analysis, inventory and supply chain modelling, simulation.
• Data and computation – database management, data visualisation, programming for analytics, applied machine learning/econometrics elective options.
• Capstone and experiential learning – a project-based capstone or practicum that applies quantitative techniques to a real organisational problem, plus opportunities for internships.

Assessment methods commonly include problem sets, computer-based projects, case studies, group projects and a final capstone project. Electives allow specialisation in areas such as supply chain analytics, business intelligence, risk analysis or applied econometrics.

Entry requirements

Applicants should hold a recognised secondary school diploma. Successful candidates usually demonstrate competence in mathematics, evidenced by high-school mathematics courses such as algebra, precalculus or calculus. Admissions typically consider the overall academic record, the strength of mathematics preparation, a personal statement and, where provided, letters of recommendation.

Transfer students are assessed on college transcripts and may receive credit for prior coursework in business, mathematics or computing. International applicants must meet university requirements for English language proficiency and submit equivalent academic documentation from their home country.

Career prospects

Graduates enter roles that require quantitative reasoning, data analysis and decision support. Common job titles include:

• Data analyst or business analyst
• Operations or supply chain analyst
• Forecasting and demand-planning analyst
• Management consultant specialising in process improvement or analytics
• Risk analyst or actuarial assistant (with further professional study)
• Business intelligence analyst or reporting specialist

The programme also provides a strong foundation for graduate study in analytics, operations research, economics, business administration or data science. Internship placements and project work help students build a professional portfolio and industry contacts, which are valuable for entering the job market.

Why study at Lewis University

Lewis University offers a small-campus learning environment with accessible faculty who combine academic expertise with practical experience. Students benefit from hands-on instruction in analytics software and industry-standard tools, opportunities for internship placements in the Chicago metropolitan area, and an emphasis on applied projects and team-based problem solving.

Career services, on-campus recruiting and strong ties with regional employers support job placement and professional development. The programme’s curriculum is designed to balance quantitative rigour with business context so graduates can move smoothly into analytical roles across private industry, government and non-profit organisations.