MSc Finance with Data Science

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 we will not provide guidance in terms of minimum score.

For fees and funding options, please visit website to find out more.

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

The MSc Finance with Data Science equips students with a powerful blend of financial expertise and data analytical skills essential in today’s data-driven economy. Graduates gain subject-specific abilities such as financial modelling, risk analysis, and coding for data analysis,as well as experience working with large datasets and financial databases. The programme also develops wider professional skills including critical thinking, communication, teamwork, and problem-solving. These capabilities are highly valued across industries such as banking, asset management, fintech, consultancy, and regulatory bodies, preparing graduates for roles that require both financial acumen and data fluency.

Compulsory modules

•  Time Series Analysis and Forecasting
•  Big Data Analytics
•  Financial Econometrics and Data Science
•  Corporate Finance and Financial Markets
•  Finance with Data Science Research Project

Optional modules

•  Options and Derivatives
•  The Economics of Trading and Exchanges
•  Advanced Corporate Finance
•  Investment Strategies and Risk Management
•  International Finance
•  Behavioural Finance and Neuroeconomics