Saint Mary’s University of Minnesota

What you'll study

The programme blends core business fundamentals with a strong quantitative core. You will take foundational courses in management, accounting, finance and marketing alongside mathematics and statistics modules such as probability, applied regression, time series and forecasting. Core quantitative subjects typically include operations research, optimisation and linear programming, decision analysis, simulation and econometrics. Practical computing and data skills are emphasised through courses in data analysis and programming (for example, R, Python or spreadsheet modelling), database fundamentals and management information systems.

Students normally complete a capstone or senior project that applies quantitative methods to a real organisational problem, and there are opportunities for internships or practicum placements to gain workplace experience. Electives allow focus areas such as supply chain analytics, risk management, business intelligence, or further applied statistics.

Entry requirements

Applicants should hold a recognised secondary school diploma or equivalent. Successful candidates typically have a solid background in mathematics—courses in algebra and calculus are advantageous—and demonstrate competence in writing and critical thinking. Admission decisions are based on academic transcripts and may consider recommendation letters, a personal statement, and relevant extracurricular or work experience.

Students whose first language is not English will be required to demonstrate English proficiency through an accepted test or qualifying coursework. Transfer students are assessed on prior college work; course-by-course evaluations determine how many credits transfer into the major.

Career prospects

Graduates are prepared for quantitative and analytical roles across public and private sectors. Typical job titles include data analyst, operations analyst, business analyst, supply chain analyst, risk analyst and management consultant. The programme also provides a strong foundation for advanced study in analytics, operations research, business administration (MBA), applied statistics or economics.

Students often find roles in finance, manufacturing, healthcare, logistics, technology and government agencies. The emphasis on applied projects and internships helps graduates demonstrate practical experience with data tools and modelling techniques that employers seek.

Why study at Saint Mary’s University of Minnesota

Saint Mary’s University of Minnesota offers a small-campus environment with personalised attention from faculty, enabling close mentorship on quantitative projects and career planning. The curriculum integrates liberal-arts perspectives with applied, hands-on learning, so students develop communication and ethical reasoning skills alongside technical competence.

The university supports experiential learning through internship coordination and connections with regional employers, giving students practical workplace exposure. Class sizes, advising services and opportunities for undergraduate research make it a good choice for students who want strong academic support while building marketable data and management skills.