15Jun
PostgraduateCourse summary
Our MSc Artificial Intelligence in Finance course offers a dynamic blend of financial theory and cutting-edge AI technologies. You will study topics such as algorithmic trading, risk management, and financial modelling, all enhanced by AI techniques like machine learning and natural language processing. This course equips you with the skills to revolutionise traditional finance practices, driving innovation in areas like automated trading strategies and fraud detection. With a strong foundation in both finance and AI, you will be poised to excel in roles at investment firms, banks, fintech startups, and beyond, shaping the future of finance through data-driven insights and intelligent decision-making. In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas, such as:
- Statistical and computational methods
- Machine learning models for finance
- Modelling trading strategies and predictive services that are deployed by hedge funds
- Algorithmic trading groups
- Analysis of derivatives
- Risk management
Modules
You can tailor your learning experience with a choice of optional modules. More information about these can be found on the University of Essex website
Entry requirements
Entry requirements for this course can be found on the course finder on the University of Essex website – www.essex.ac.uk
Fees and funding
Tuition fees
| England | £11550 | Year 1 |
| Northern Ireland | £11550 | Year 1 |
| Scotland | £11550 | Year 1 |
| Wales | £11550 | Year 1 |
| Channel Islands | £11550 | Year 1 |
| Republic of Ireland | £11550 | Year 1 |
| EU | £22400 | Year 1 |
| International | £22400 | Year 1 |
Additional fee information
Fees displayed are for 2024-25 entry. Fees for part-time courses are calculated pro-rata to the relevant full-time fee.
Tuition fees may be subject to annual increases in each year of study in line with inflation.
Provider information
University of Essex
Wivenhoe Park
Colchester
CO4 3SQ