University College London
University College London

MSc Finance with Data Science

Hybrid
1 years
Computer and Information Sciences (Education)
Course Overview

The Master’s in Finance with Data Science is an innovative program designed to meet the growing demand for finance specialists with advanced data science skills. This interdisciplinary degree combines the scientific foundations of finance with hands-on experience in Python programming, econometrics, and machine learning. Graduates will gain the expertise to make data-driven decisions and succeed in dynamic financial markets across the globe.


Delivered by world-class faculty from UCL’s School of Management and Department of Economics, the program blends theory with practical applications. Students benefit from a rich learning experience, access to cutting-edge research, and opportunities to tackle real-world challenges using financial market data. With a strong focus on industry relevance, this program prepares students for impactful careers in investment banking, hedge funds, and data-driven financial start-ups.


What You'll Learn
  • Dual Expertise: Master finance fundamentals and data science techniques, including Python programming and machine learning.

  • Industry-Ready Skills: Gain hands-on experience in time series analysis, big data processing, and financial econometrics.

  • Global Career Opportunities: Prepare for roles in leading global financial hubs such as New York, London, and Hong Kong.

  • Customizable Learning: Tailor your education with optional modules that align with your career goals.

  • Research Excellence: Complete a finance research project under expert guidance to showcase your data-driven problem-solving skills.

Requirements
Level 2
MSc Finance with Data Science

34,000 GBP

University College London

University College London

https://www.ucl.ac.uk