Emory University

What you'll study

The curriculum builds a foundation in mathematical and statistical methods and applies them to real organisational challenges. Core subjects typically include advanced statistical analysis and inference, optimisation and operations research, decision modelling under uncertainty, forecasting and time-series analysis, and simulation methods. Students also study data-oriented topics such as predictive analytics, machine learning for business, databases and data visualisation, together with programming for analysis (commonly Python or R).

Applied components are emphasised: courses often include case studies, team projects and a capstone or practicum in which students work with real datasets or an industry partner to deliver actionable solutions. Electives may cover supply chain analytics, revenue management, risk modelling, econometrics, project management and managerial economics, allowing students to tailor the programme to operations, finance, consulting or technology-focused career paths.

Entry requirements

Applicants should hold a recognised bachelor’s degree. While degrees in mathematics, statistics, engineering, economics, computer science or business are advantageous, applicants from other disciplines who demonstrate quantitative aptitude are also considered. Typical application materials include academic transcripts, a CV or résumé, a personal statement describing goals and quantitative experience, and one or more letters of recommendation.

Admissions committees look for evidence of quantitative preparation (for example, coursework in calculus, linear algebra, probability or statistics) and practical experience with data analysis or programming is beneficial. Some applicants may be asked to submit scores from standardised tests where required by the programme; relevant professional experience can strengthen an application.

Career prospects

Graduates enter roles that combine analytical rigour with business judgement. Common career paths include operations research analyst, data scientist or analyst, business or management consultant, supply chain and logistics analyst, pricing and revenue manager, and risk analyst. Alumni also move into analytics functions within finance, healthcare, retail, technology and government, or continue to doctoral study when interested in research careers.

Employers value the programme’s mix of modelling skills, programming ability and experience translating quantitative results into managerial recommendations. Career services, industry projects and internships typically help students build contacts in regional and national labour markets.

Why study at Emory University

Emory provides a combination of rigorous quantitative training and business-facing context delivered by faculty with expertise in management science, statistics and applied analytics. The university’s location in Atlanta gives students proximity to a diverse range of employers across sectors such as finance, healthcare, logistics and technology, facilitating internships and project collaborations.

Students benefit from cross-disciplinary resources across Emory and its business school, including access to research centres, career services and alumni networks. Class sizes and industry-engaged projects offer opportunities for mentorship and hands-on experience, preparing graduates to apply quantitative methods to complex managerial problems.