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).
The links given below for each module will take you to UCL’s Module Catalogue where you can find detailed information. Information for modules marked as ‘new’ will be available in due course.
- Blockchain Technologies (COMP0163) (15 credits)
- Digital Finance (COMP0164) (15 credits)
- Innovation and Strategy in Finance (NEW) (15 credits)
- Machine Learning with Applications in Finance (COMP0050) (15 credits)
Students will select from the optional modules, which are intended to include:
- Advanced Machine Learning in Finance (NEW) (15 credits)
- Algorithmic Trading (COMP0051) (15 credits)
- Applied Computational Finance (COMP0041) (15 credits)
- Database and Information Management Systems (COMP0022) (15 credits)
- Financial Data and Statistics (COMP0040) (15 credits)
- Financial Engineering (COMP0048) (15 credits)
- Financial Institutions and Markets (COMP0105) (15 credits)
- Financial Market Modelling and Analysis (COMP0075) (15 credits)
- Financial Services Entrepreneurship (COMP0166) NEW (15 credits)
- Networks and Systemic Risk (COMP0046) (15 credits)
- Operational Risk Measurement for Financial Institutions (COMP0044) (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
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.
- MSc Financial Technology Project (NEW) (60 credits)