How do modern trading houses and global markets use and apply complex mathematics? Discover the systems that underlie modern finance, and explore how these are transforming with advances in AI.
Overview
- Educational areaEngineering Physics and Mathematics
- LanguageEnglish
Important dates
- Application opens
- Application closes
Courses include stochastic calculus, options pricing, financial risk and time series analysis, and more. The specialisation gives you both the theoretical foundations and the computational tools to work in areas like quantitative finance, risk management, and financial engineering. Moreover, this specialisation applies advanced mathematics, probability theory, and statistics to financial markets and risk management.
You will be able to work with various topics such as:
• Pricing and analysis of financial derivatives.
• Modelling financial markets and investment strategies.
• Quantitative risk management.
• Analysis of financial time series and large-scale financial data.
After completing this specialisation, graduates are expected to have developed strong quantitative skills in stochastic modelling, risk analysis, and statistical forecasting. Career paths include quantitative finance, banking, insurance, fintech, investment analysis, and risk management.
Requirements
The requirements for the Master's programme Mathematics, Statistics and Data Science apply to this specialisation.
How to select a specialisation
You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.