Columbia University

What you'll study

The curriculum balances core finance theory, quantitative methods and applied professional skills. Core topics typically include corporate finance, asset pricing, fixed income, derivatives, and financial statement analysis, supported by econometrics, statistics and programming for finance.

• Core modules: corporate finance, valuation, asset pricing, fixed-income securities and derivatives.
• Quantitative and technical skills: econometrics, time-series analysis, optimisation, Python/R for finance, and numerical methods.
• Electives and specialisms: risk management, portfolio construction, behavioural finance, fintech and machine learning applications in finance, private equity and venture capital, and municipal/corporate treasury topics.
• Practical components: casework, trading labs or simulation exercises, practicum or capstone projects with industry data, and opportunities for internships in New York City.

Entry requirements

Admission is competitive and seeks applicants with a strong quantitative background and demonstrated interest in finance. Typical requirements include:

• An undergraduate degree from a recognised institution, preferably with substantial coursework in mathematics, statistics, economics, engineering, finance or a related discipline.
• Evidence of quantitative ability, such as transcripts showing calculus, linear algebra, probability/statistics, or programming courses.
• Standardised test scores where required by the programme (GMAT or GRE), though requirements and exemptions vary by programme.
• For applicants whose first language is not English, proof of English proficiency (TOEFL, IELTS or equivalent) where required.
• Application materials: a CV, academic transcripts, letters of recommendation, and a statement of purpose outlining career goals and fit with the programme.

Career prospects

Graduates move into a wide range of finance and financial services roles. The programme prepares students for positions that demand quantitative proficiency, strong analytical reasoning and practical market knowledge.

• Investment banking and corporate finance: financial analysis, mergers & acquisitions, and capital-raising advisory roles.
• Asset management and portfolio management: roles in mutual funds, hedge funds and institutional asset managers.
• Risk management and treasury: market, credit and liquidity risk analysis within banks, corporates and regulators.
• Trading and quantitative research: market making, proprietary trading, quantitative modelling and algorithmic trading.
• Fintech and data-driven finance roles: product, analytics and engineering roles that apply machine learning and big-data techniques to financial problems.
• Consulting and corporate strategy: advisory work on financial strategy, valuation and capital structure.

Why study at Columbia University

Columbia’s location in New York City gives students direct access to global financial markets, major investment firms and a deep network of alumni working across the finance sector. The university combines faculty who are active researchers and practitioners with specialised centres and seminars that bring industry perspectives into the classroom.

• Proximity to industry: recruiters, internships and guest speakers from leading banks, asset managers and fintech firms are regularly present on campus.
• Research and practitioner resources: access to finance research centres, speaker series and real-world datasets used in coursework and capstone projects.
• Professional development: dedicated career services, networking events and alumni mentoring that support career transitions into finance roles.