Course Description
The operation of financial markets and the delivery of financial services impact a variety of real-world issues including job creation and credit approval. Our vocationally minded Fintech MSc addresses the knowledge gap created by the pace of technological transformation in financial services and markets.
Entry Requirements
You will need a UK first-class or 2:1 honours degree in one of the subjects below, or an equivalent overseas qualification.
- An undergraduate honours degree in finance, economics, engineering or informatics is normally required.
- You will need to have taken and passed at least one course with significant statistical analysis and/ or programming as part of your undergraduate degree or be able to demonstrate that you have relevant work experience in the use of statistical and/ or programming software packages.
- Candidates with a first class or 2:1 honours degree in other disciplines will be considered on an individual basis if some level of finance/ economics/ informatics content formed part of the degree and you can demonstrate a high level of quantitative ability through your degree results.
- Candidates with a first class or 2:1 honours degree in an unrelated subject area but have relevant work experience will be considered on an individual basis.
- Candidates with a first class or 2:1 honours degree in an unrelated subject area but who have relevant professional qualifications will be given due consideration on an individual basis.
- If you are a mature candidate with significant finance and tech industry experience or with relevant professional qualifications, you will be given due consideration on an individual basis.
Student Destinations
Recruiting companies include:
- China Citic Bank
- European Central Bank
- EY
- Haitong Securities
- IBM
- JP Morgan
- KPMG
- Ping An Bank
- Refinitiv
- S&P Global
Job titles include:
- Analyst
- Blockchain Analyst
- Client Service Associate
- Data Analyst
- Data Management Consultant
- Financial Services Associate
- Financial Services Technology Consultant
- Fixed Income Trader
- Innovation Engineer
- Software Engineer
Module Details
Compulsory courses
Financial Markets and Investment
Financial Valuation
FinTech Infrastructures and Innovation
Principles of Data Analytics
Python Programming
Semester 2
Compulsory courses
Introductory Applied Machine Learning
Modern Financial Market Microstructure
Option courses*
Choose 2, 3 or 4
Economic Principles of Blockchain and Cryptocurrencies
Blockchain, Governance and Policy
Ethics of Artificial Intelligence
Financial Engineering
Financial Machine Learning
Financial Machine Learning II (Practical)
Investment Management
Pattern Recognition in Financial Data
Responsible Investing
SAS Programming for Financial Analysis
Technology Entrepreneurship and Commercialisation
The Human Factor: Working with Users
Venture Capital and Private Equity
Summer
Dissertation
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