Finance with Data Science UCL

Overview

UCL consistently ranks among the top 20 universities globally, making it a prestigious choice for aspiring finance professionals. The MSc in Finance with Data Science is uniquely positioned at the intersection of finance and data science, offering students a comprehensive understanding of both fields. The programme is delivered by the UCL School of Management and the Department of Economics, both of which have received accolades for their research excellence. The School of Management is recognised for its innovative programmes, while the Department of Economics is noted for its outstanding research environment, ensuring students receive a world-class education. The programme's location at Canary Wharf, London's financial hub, provides students with unparalleled networking opportunities. UCL's partnership with the CQF Institute further enriches the learning experience, offering access to workshops, industry insights, and networking events that enhance career prospects.

The tuition fees for the MSc in Finance with Data Science are set at £47,100 per year for both domestic and international students. Visit the Fees and Funding section for a breakdown in your local currency.

The MSc in Finance with Data Science features a well-structured curriculum designed to provide a robust understanding of financial concepts and data analysis techniques. The programme encompasses:

• Financial Econometrics and Data
• Corporate Finance and Financial Markets
• Time Series Analysis and Forecasting
• Big Data Analytics
• Finance with Data Science Research Project
• Optional modules such as Options and Derivatives, International Finance, and Behavioural Finance

In addition to core modules, students will engage in a pre-sessional course covering mathematics, statistics, accounting, and Python programming to ensure they are well-prepared for their studies.

As the finance sector increasingly relies on data-driven decision-making, the demand for professionals with a blend of finance and data science skills is on the rise. Graduates of this programme will be well-equipped to meet the needs of employers in various financial roles, including quantitative analysis and risk management.

The programme includes a finance research project in Term 3, allowing students to apply their knowledge in a practical setting. This hands-on experience is invaluable for building a strong portfolio and gaining insights into real-world financial challenges.

Graduates of the MSc in Finance with Data Science can expect to pursue a range of high-profile roles in the finance industry. Potential career paths include:

• Credit Analyst in credit rating agencies
• Portfolio Analyst, leading to Portfolio Manager positions in asset management
• Quantitative Analyst in hedge funds
• Risk Analyst in clearing houses
• Investment Analyst in finance boutiques
• Financial Engineer in investment banks

The programme's emphasis on data science literacy positions graduates favourably in a competitive job market, enabling them to collaborate effectively with data science experts and contribute to strategic financial decisions.