This MSc combines technology, quantitative and analytical skills to develop technology literate financial services and fintech professionals.
To find out core information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus site.
Students undertake modules to the value of 180 credits. The programme consists of four compulsory modules (which total 60 credits), optional modules (which total 60 credits), and a compulsory project (60 credits).
- Blockchain Technologies (COMP0163) (15 credits)
- Digital Finance (COMP0164) (15 credits)
- Innovation and Strategy in Finance (COMP0167) (15 credits)
- Machine Learning with Applications in Finance (COMP0050) (15 credits)
Students select a minimum of 15 credits and maximum of 45 credits from the programme's optional modules in Group 1, and a minimum of 15 credits and maximum of 45 credits from the programme's optional modules in Group 2.
- Database Fundamentals (COMP0178) (15 credits)
- Financial Engineering (COMP0048) (15 credits)
- Financial Institutions and Markets (COMP0105) (15 credits)
- Operational Risk Measurement for Financial Institutions (COMP0044) (15 credits)
- Advanced Machine Learning in Finance (COMP0162) (15 credits)
- Algorithmic Trading (COMP0051) (15 credits)
- Applied Computational Finance (COMP0041) (15 credits)
- Data-driven Modelling of Financial Markets (COMP0040) (15 credits)
- Financial Market Modelling and Analysis (COMP0075) (15 credits)
- Financial Services Entrepreneurship (COMP0166) (15 credits)
- Networks and Systemic Risk (COMP0046) (15 credits)
Please note: the availability and delivery of modules may vary, based on your selected options as all choices are subject to timetabling constraints
Students undertake an independent or team-based research project worth 60 credits. The project will be related to a problem of industrial interest or a topic near the leading edge of research, and culminates in a dissertation.
- MSc Financial Technology Project (COMP0176) (60 credits)