Financial Risk Management MSc 12 months Postgraduate Programme By UCL |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

52,600 GBPTuition Fee/year

Application Deadline

22 Mar, 2027Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Master's

Study Mode

On Campus

Finance is driven by technology. Becoming an expert in both will enable you to thrive in risk management roles in the financial sector. Our Financial Risk Management MSc combines traditional finance theory with data analytics, quantitative methods, and computational modelling techniques designed to develop talented practitioners in this field. 


A distinctive finance course taught from a computer science perspective, the Financial Risk Management MSc trains you to become an expert in computing, quantitative finance and technology to model and manage financial risk.  


You’ll experience an innovative course that combines core financial concepts with cutting-edge computational techniques and technologies, including machine learning, artificial intelligence, algorithmic trading, and blockchain.  


Learning from renowned lecturers who are active researchers and practitioners in the finance industry, you’ll develop a strong understanding of market and credit risk, financial engineering, probability theory, stochastic processes, and data-driven modelling, alongside specialist topics such as market microstructure, machine learning, algorithmic trading, blockchain technologies, and systemic risk.   


You’ll also combine knowledge of how the financial system works with advanced computational techniques.  


You’ll undertake a substantial project as part of your course, with opportunities to work with an industry partner on a real-world problem or pursue an academic research project supervised by one of our leading academics.  


This course equips you with the key skills needed for careers in financial markets and related technical fields, while allowing you to experience life in London, one of the world’s leading financial centres.  

Programme overview

Main Subject

Finance

Degree

MSc

Study Level

Master's

Study Mode

On Campus

Finance is driven by technology. Becoming an expert in both will enable you to thrive in risk management roles in the financial sector. Our Financial Risk Management MSc combines traditional finance theory with data analytics, quantitative methods, and computational modelling techniques designed to develop talented practitioners in this field. 


A distinctive finance course taught from a computer science perspective, the Financial Risk Management MSc trains you to become an expert in computing, quantitative finance and technology to model and manage financial risk.  


You’ll experience an innovative course that combines core financial concepts with cutting-edge computational techniques and technologies, including machine learning, artificial intelligence, algorithmic trading, and blockchain.  


Learning from renowned lecturers who are active researchers and practitioners in the finance industry, you’ll develop a strong understanding of market and credit risk, financial engineering, probability theory, stochastic processes, and data-driven modelling, alongside specialist topics such as market microstructure, machine learning, algorithmic trading, blockchain technologies, and systemic risk.   


You’ll also combine knowledge of how the financial system works with advanced computational techniques.  


You’ll undertake a substantial project as part of your course, with opportunities to work with an industry partner on a real-world problem or pursue an academic research project supervised by one of our leading academics.  


This course equips you with the key skills needed for careers in financial markets and related technical fields, while allowing you to experience life in London, one of the world’s leading financial centres.  

Admission Requirements

4.5+
180+
7+
76+
A minimum of an upper second-class UK bachelor’s degree (or international qualification of an equivalent standard) in a relevant discipline with a strong quantitative component evidenced by good performance in mathematics and statistics exams, i.e. with marks in these subjects not below a UK upper second-class or international equivalent level. There is not an exhaustive list of relevant disciplines, but individuals with a background in mathematics, physics, statistics, computer science, engineering, economics, or finance are encouraged to apply.

22 Mar 2027
1 Year
Sep

Tuition fees

Domestic
34,700 GBP
International
52,600 GBP

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