Lewis University

What you'll study

This programme emphasises quantitative methods, analytical modelling and practical problem solving for management contexts. Core topics typically include descriptive and inferential statistics, regression and predictive analytics, optimisation and linear programming, simulation and stochastic models, decision analysis, and operations/supply chain modelling. Students also study data management and applied computation using statistical and programming tools (for example R, Python or similar), as well as courses in research methods and applied project work.

• Core modules: forecasting and time series; optimisation (linear/integer programming); simulation modelling; decision analysis and risk; applied statistics and multivariate methods.
• Applied / elective modules: data mining and machine learning for business; supply chain analytics; project management and process improvement; Bayesian methods and advanced probability; business intelligence and visualisation.
• Capstone / practicum: a major applied project, practicum or thesis that integrates quantitative methods with a real-world management problem, often developed in partnership with industry or campus-based research supervisors.

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree. Candidates with undergraduate degrees in business, economics, mathematics, engineering, computer science or other quantitatively oriented disciplines are especially well prepared; applicants with non-quantitative degrees may be admitted if they can demonstrate prior coursework in calculus, statistics and quantitative methods or relevant professional experience.

• Official academic transcripts from previous postsecondary study.
• A current CV or résumé and a personal statement outlining academic/professional background and goals.
• Letters of recommendation may be requested to support the application.
• Standardised test scores (e.g. GRE/GMAT) are considered where required by admissions, but policies vary and applicants should check the programme guidance; international applicants must satisfy English language proficiency requirements.
• Relevant professional experience is beneficial for applicants seeking practicum options but is not always mandatory.

Career prospects

Graduates leave equipped for roles that combine quantitative analysis with organisational decision-making. Typical career paths include data analyst, operations research analyst, supply chain or logistics analyst, management consultant, business intelligence or analytics specialist, risk analyst and process improvement roles. The programme also prepares candidates for doctoral study in management science, operations research or related disciplines, and for leadership roles that require evidence-based decision making and advanced analytical skills.

Why study at Lewis University

Lewis University offers an applied, student-centred learning environment with small class sizes and faculty who combine academic expertise with industry experience. The programme’s practical focus—through labs, software training and a capstone project—helps students develop immediately marketable skills in analytics, optimisation and modelling. Lewis’s proximity to the Chicago metropolitan area provides access to regional employers and networking opportunities, and university career services support internships and graduate employment pathways. The curriculum is designed to balance theoretical foundations with hands-on experience so graduates can translate quantitative insight into organisational impact.