University of Minnesota

What you'll study

This degree emphasises quantitative model-building, data analysis and decision support applied to business problems. You will take core business courses covering accounting, finance, marketing and organisational behaviour alongside a sequence of quantitative subjects.

• Mathematics and statistics: calculus, linear algebra, probability and inferential statistics that underpin modelling and analytics.
• Quantitative methods: deterministic and stochastic optimisation, operations research, simulation, decision analysis and applied regression/econometrics.
• Data skills and programming: data management, data visualisation, and programming for analytics (tools such as Python, R, SQL and spreadsheet modelling are commonly taught).
• Business analytics and applications: supply chain analytics, revenue management, risk analysis, forecasting and machine learning fundamentals for business use cases.
• Experiential learning: project-based courses and a capstone where students apply quantitative techniques to real organisational problems; many students also undertake internships with corporate partners in the Twin Cities and beyond.
• Electives and specialisations: options allow deeper study in areas such as finance, marketing analytics, supply chain management or information systems.

Entry requirements

Applicants are expected to have completed secondary education with a strong foundation in mathematics; coursework that includes calculus is particularly relevant. Typical successful applicants demonstrate strong quantitative skills, analytical reasoning and academic achievement across core subjects. International applicants must meet the University’s English language proficiency requirements.

Admissions also consider the whole application package, including transcripts, personal statements and any required documents; applicants transferring from other tertiary institutions should present college coursework in mathematics and related quantitative subjects.

Career prospects

Graduates are prepared for roles that require quantitative analysis, data-driven decision-making and business acumen. Common graduate job titles include:

• Data analyst or business analyst
• Operations or supply chain analyst
• Quantitative risk analyst
• Management consultant or strategy analyst
• Market or pricing analyst
• Financial analyst with quantitative responsibilities

Alumni also pursue graduate study in business analytics, operations research, statistics, economics or business administration. The combination of technical skills and business knowledge makes graduates attractive to employers in consulting firms, retailers, logistics companies, financial institutions and technology firms.

Why study at University of Minnesota

The programme is housed within the University of Minnesota’s business school environment, providing access to faculty with expertise in operations research, statistics and analytics as well as strong ties to regional and national employers. Students benefit from project-based learning, analytics facilities and career services that help secure internships and graduate roles. The Twin Cities location offers a diverse corporate landscape for experiential placements and networking, while the university’s research activity supports exposure to current methods and real-world datasets.