MSc Data Science (Fintech)
Course Overview
This MSc in Data Science (FinTech) provides a powerful fusion of advanced data science and AI techniques with specialized financial technology applications. It is designed to equip you with the highly sought-after expertise needed to design and engineer cutting-edge systems for the modern finance industry. The curriculum offers deep, practical exposure to areas like algorithmic trading, blockchain, and regulatory technology.
Key Program Highlights
- Master data science and AI fundamentals directly applied to real-world financial challenges
- Gain expertise in blockchain technology, cryptocurrencies, and Central Bank Digital Currencies (CBDCs)
- Develop advanced skills in fraud detection, anti-money laundering (AML), and risk management systems
- Explore algorithmic trading, investment analysis, and decentralized payment systems
- Complete a dedicated Master's thesis on a FinTech topic of your choice
Course Overview
This MSc in Data Science (FinTech) provides a powerful fusion of advanced data science and AI techniques with specialized financial technology applications. It is designed to equip you with the highly sought-after expertise needed to design and engineer cutting-edge systems for the modern finance industry. The curriculum offers deep, practical exposure to areas like algorithmic trading, blockchain, and regulatory technology.
Key Program Highlights
- Master data science and AI fundamentals directly applied to real-world financial challenges
- Gain expertise in blockchain technology, cryptocurrencies, and Central Bank Digital Currencies (CBDCs)
- Develop advanced skills in fraud detection, anti-money laundering (AML), and risk management systems
- Explore algorithmic trading, investment analysis, and decentralized payment systems
- Complete a dedicated Master's thesis on a FinTech topic of your choice
Requirements
Modules
- MSc Project
- Big Data
- Data Visualisation
- Blockchain for FinTech Applications
- Technologies for Anti-Money Laundering and Financial Crime
- Programming Fundamentals for Data Science
- Ethics in Data Science
- Financial Machine Learning
- Essential Professional and Academic Skills for Masters Students
- Statistical Methods for Time Series Analysis
