University of Chicago

What you'll study

This programme combines core finance theory with practical tools used across financial services. Typical modules cover corporate finance and valuation, asset pricing and portfolio theory, derivatives and fixed-income markets, financial econometrics and risk management. You will also study quantitative methods such as stochastic calculus for finance, statistical modelling, and optimisation techniques, together with programming for finance (commonly using Python, R or MATLAB).

In addition to core courses, students choose from electives that may include applied portfolio management, machine learning for finance, empirical corporate finance, behavioural finance, treasury and liquidity management, and financial regulation and compliance. Many programmes include a capstone project, practicum or supervised applied research component that places students in teams working on a real-world problem sponsored by a financial institution, publicly available market data, or a faculty-led research project.

Entry requirements

Successful applicants typically hold a bachelor’s degree from a recognised institution, usually with strong preparation in quantitative disciplines such as economics, mathematics, engineering, statistics or finance. Admissions panels look for evidence of numerical aptitude demonstrated through prior coursework (calculus, linear algebra, probability and statistics), grades, and quantitative sections of standardised tests when required by the programme.

• Academic transcripts: a solid undergraduate record with quantitative coursework.
• References: two or three academic or professional referees who can comment on analytical ability and readiness for graduate study.
• Personal statement / statement of purpose: a clear explanation of your goals and how the programme fits your career plan.
• CV / résumé: detailing relevant internships, work experience, research or programming projects.
• Technical skills: familiarity with a programming language (Python, R, MATLAB) and exposure to econometrics or statistics is strongly recommended.

Some applicants will arrive with professional experience in finance or related fields; others will be recent graduates. Where applicants have gaps in quantitative background, bridge or preparatory courses in calculus, linear algebra or statistics are often advised prior to or at the start of the programme.

Career prospects

Graduates of this programme move into a wide range of roles across financial services and related industries. Typical destinations include investment banking and corporate finance teams, asset and wealth management, quantitative research and trading desks, risk management and modelling, treasury and liquidity roles, consulting with a finance focus, and positions in fintech and data-driven financial product teams.

The programme’s quantitative emphasis also prepares students for careers that require rigorous empirical analysis, such as financial engineering, credit analytics, regulatory reporting and roles in central banks or supervisory authorities. Many graduates use the degree as a stepping stone to professional qualifications or doctoral study.

Why study at University of Chicago

The University of Chicago is known for its emphasis on intellectual rigour and evidence-based approaches to economic and financial problems. Students benefit from access to world-class faculty across economics, finance, statistics and computer science, and from research centres and seminars that connect theory with current market practice.

Studying at the University of Chicago also offers strong links to the financial industry through practitioner instructors, guest speakers and recruiting events, as well as career services tailored to finance employers. The city’s long history as a financial centre and the university’s extensive alumni network provide valuable opportunities for internships, mentoring and career development.