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The MSc Finance with Data Science at UCL is a specialist, one-year full-time programme delivered at the Canary Wharf campus, London’s financial district. It integrates rigorous finance theory with advanced data science, econometrics, and analytics, designed to develop graduates who possess expertise in finance alongside high-level data science skills.
The curriculum is research-led and quantitative, drawing on UCL’s School of Management and Department of Economics. Students gain hands-on experience analysing financial market data to prepare for data-driven roles in investment banks, hedge funds, and finance start-ups.
Ranking:
Course Overview:
Core:
Time Series Analysis and Forecasting
Big Data Analytics
Financial Econometrics and Data Science
Corporate Finance and Financial Markets
Finance with Data Science Research Project
Research-led teaching by academic experts
Optional:
Options and Derivatives
The Economics of Trading and Exchanges
Investment Strategies and Risk Management
Advanced Corporate Finance
International Finance
Behavioural Finance and Neuroeconomics
Real-World Data Focus:
Curriculum rooted in applied financial data science
Project-based learning to tackle data challenges from global markets
Location Advantage: Taught in Canary Wharf, providing proximity to global financial institutions and networking opportunities
Career-Focused:
Graduates equipped for careers in London, New York, and Hong Kong
Opportunities with investment banks, hedge funds, fintech startups
Graduate Destinations: High-profile roles in finance, banking, consulting, and data science sectors
Further Study: Research-based learning provides a foundation for doctoral programs in finance, econometrics, or applied data science
Professional Readiness: Industry-relevant skills in econometrics, machine learning, and financial modelling prepare students for high-impact roles
TOEFL: Overall score of 96 with 24/30 in reading and writing and 22/30 in speaking and listeningIELTS: Overall score of 7.0 and a minimum of 6.5 in each componentEntry requirement: A minimum of an upper-second class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard in one of the following subjects: economics, finance, mathematics, econometrics and statistics or a combination of these disciplines. Degrees from other disciplines may be considered provided the background is sufficiently quantitative. Applicants are not required to submit a Graduate Record Examinations (GRE) or Graduate Management Admissions Test (GMAT) result as part of their initial application. However, submitting a score of at least 165 in the quantitative section of the GRE will add weight to the application. Applicants may also wish to submit GMAT (or GMAT Focus) results, but there is no guidance in terms of minimum score.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Investment BankerQuantitative AnalystHedge Fund AnalystFinancial Data ScientistFintech ConsultantRisk AnalystPortfolio Analyst
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