Indiana University

What you'll study

This programme blends core business education with intensive quantitative training. You will take foundation courses in microeconomics, accounting, finance and organisational behaviour alongside a sequence of quantitative modules. Typical topics include probability and statistics, linear algebra and calculus for business, optimisation and operations research, predictive analytics, simulation, econometrics, database design and data management, and programming for analysis (commonly using languages such as Python, R or SQL).

• Core business courses covering finance, marketing, management and business ethics to develop commercial context for quantitative decisions.
• Quantitative and technical modules in statistics, regression analysis, optimisation, decision analysis, stochastic modelling and supply chain analytics.
• Applied analytics and information systems exploring data visualisation, database systems, business intelligence tools and hands‑on analytics projects.
• Capstone / practicum where students apply quantitative methods to real organisational problems, often in team-based, client-facing projects or internships.

Entry requirements

Admission is based on academic achievement and preparation for a quantitatively demanding curriculum. Prospective students are expected to have a strong record in secondary school, with particular strength in mathematics (calculus or pre-calculus and statistics where available). Successful applicants typically demonstrate analytical ability in their transcripts and application materials.

• Academic background: high school diploma or equivalent with strong achievement in mathematics and related subjects.
• Recommended subjects: calculus, statistics, computer science and courses that demonstrate quantitative reasoning.
• International applicants: equivalent secondary qualifications and proof of English proficiency through recognised tests if required by the university.
• Other factors: personal statement, extracurricular activities, and where applicable, standardised test scores and letters of recommendation may be considered as part of a holistic review.

Career prospects

Graduates enter roles that combine business knowledge with strong analytical skills. Typical entry-level positions include data analyst, business analyst, operations analyst, supply chain analyst and risk analyst. With experience, alumni move into managerial and specialised quantitative roles such as analytics manager, operations manager, quantitative consultant, product manager and roles in strategy or finance that require quantitative modelling.

The degree also provides solid preparation for postgraduate study in management, business analytics, operations research, data science and related fields, or for professional business qualifications.

Why study at Indiana University

Indiana University’s Kelley School of Business provides a learning environment that emphasises applied analytics, experiential learning and strong connections to industry. Students benefit from practitioner-led projects, dedicated analytics labs and career services that support internship and job placement. The school’s extensive alumni network and relationships with employers give students opportunities for internships and client projects across industries, while campus resources support collaborative work, student consulting groups and research opportunities with faculty in management sciences and quantitative methods.