Georgetown University

What you'll study

The programme combines foundational coursework in mathematics and statistics with applied subjects in management, operations and data analytics. Core topics typically include calculus, linear algebra, probability and statistics, and introductory econometrics, together with programming for data analysis (commonly Python or R). Management-focused modules cover microeconomics, organisational behaviour, financial and managerial accounting, and decision analysis.

Quantitative and operations subjects emphasise optimisation, operations research, simulation, stochastic processes and supply-chain modelling. Students also learn practical techniques in data visualisation, machine learning basics, and empirical methods for causal inference.

Programme structure usually includes a set of required core courses, a selection of electives allowing specialisation (for example, finance, supply-chain analytics, or public-sector analytics), and experiential elements such as a capstone project, practicum or an internship. The capstone integrates quantitative methods with real-world management problems, often in collaboration with industry, government or non-profit partners.

Entry requirements

Applicants are expected to demonstrate strong quantitative ability and academic preparation in mathematics. Typical evidence includes high-school (or equivalent) mathematics courses such as calculus and advanced algebra, good grades in quantitative subjects, and a record of strong overall academic performance. Georgetown evaluates applications holistically, considering academic transcripts, personal statements, letters of recommendation and extracurricular achievements that show leadership and analytical interest.

Standardised test submission policies may vary; applicants should consult the university for current guidance. International applicants must demonstrate English-language proficiency through recognised qualifications if their prior education was not in English. Relevant coursework or experience in computer programming, statistics, or data analysis strengthens an application.

Career prospects

Graduates are prepared for roles that require quantitative reasoning applied to organisational problems. Common career paths include business analytics, operations and supply-chain management, management consulting, financial analysis, risk management, and product or data roles within technology companies. Alumni also move into public policy, government analytics, and work with international organisations or non-profits where evidence-based decision-making is valued.

The degree also serves as a strong foundation for graduate study in business, analytics, economics, statistics, operations research or public policy.

Why study at Georgetown University

Georgetown combines rigorous academic programmes with a strong emphasis on ethics and public service rooted in its Jesuit tradition. The university’s location in Washington, D.C., offers direct access to government agencies, international organisations, think tanks and a diverse business community, creating opportunities for internships and applied projects. The McDonough School of Business and related departments provide interdisciplinary collaboration, small-class interactions with faculty who are active researchers and practitioners, and career services that connect students to employers.

Students benefit from a global alumni network and a campus culture that supports experiential learning, study abroad and cross-disciplinary study — all of which help translate quantitative training into impactful careers across sectors.