Saint Louis University

What you'll study

This undergraduate programme blends core management topics with rigorous training in quantitative methods. You will study probability and mathematical statistics, linear algebra and calculus fundamentals applied to business problems, and introductory and intermediate econometrics. Core management modules cover organisational behaviour, managerial accounting, and principles of management and finance to provide business context for analytical work.

Technical and applied modules typically include:

• Data analysis and visualisation using industry-relevant tools and languages (for example, Python or R)
• Operations research and optimisation (linear programming, network models, integer programming)
• Decision analysis and risk modelling
• Database fundamentals and applied business intelligence
• Simulation techniques for operational and service systems
• Supply chain and logistics analytics
• Capstone project or practicum integrating quantitative methods with a real-world organisational problem

The degree emphasises experiential learning: students commonly undertake a capstone project, internship or practicum with local employers, applying quantitative models to marketing, finance, operations or public sector challenges. Elective options and interdisciplinary coursework allow students to tailor the degree toward analytics, finance, operations or policy.

Entry requirements

Applicants are expected to demonstrate strong preparation in mathematics at secondary level. Typical entry requirements include a high-school diploma (or recognised equivalent) with evidence of competence in algebra and calculus or advanced mathematics. Admissions decisions also take into account overall academic record, personal statement, and letters of recommendation. Some students may be asked to take diagnostic mathematics or statistics assessments on entry to determine appropriate first-year courses.

For transfer students or those with prior university study, selection considers college transcripts and the relevance of previous quantitative coursework. International applicants should meet the university's general admissions and English language requirements.

Career prospects

Graduates move into a wide range of quantitative and management-focused roles. Common career paths include:

• Data analyst, business analyst or analytics consultant, using data to support business decisions
• Operations research analyst or optimisation specialist in manufacturing, logistics or service industries
• Supply chain analyst and logistics planner
• Risk analyst or quantitative analyst in financial services
• Management roles that require evidence-based decision-making in government, healthcare or non-profit organisations

Many graduates also continue to postgraduate study in fields such as business analytics, operations research, data science or MBA programmes. Saint Louis University’s career services and local employer networks help students secure internships and entry-level positions in the St. Louis region and beyond.

Why study at Saint Louis University

Saint Louis University offers a Jesuit liberal arts environment that emphasises critical thinking, ethical leadership and service alongside technical training. Students benefit from small-group teaching, accessible faculty with research and industry experience, and opportunities for interdisciplinary collaboration across the Chaifetz School of Business and arts and sciences departments.

The university’s strong connections with regional employers provide rich internship and practicum opportunities, while on-campus resources—such as computing labs, statistical consulting support and career services—help students develop practical skills and transition to professional roles. The programme’s applied focus and capstone experience prepare graduates to tackle real organisational problems with quantitative rigour and a values-driven perspective.