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MSc Financial Risk Management

  • DeadlineStudy Details: 1 year

Masters Degree Description

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 brings together traditional theories in finance, data analytics, quantitative and computational modelling techniques – designed to produce talented practitioners in this field.

Entry Requirements

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.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Some graduates from this programme have pursued careers in the accountancy and financial services sectors, while others have gone into IT, technology and telecoms, p consultancy, logistics and distribution. According to recent Graduate Outcomes survey data , employers include Accenture, Bank of Montreal, China Construction Bank, CICC, Credit Suisse, Deloitte, Deutsche Bank, , Google, JP Morgan Chase, Moody’s Analytics, Morgan Stanley and UBS.

Module Details

Compulsory modules

  • MSc Financial Risk Management Project
  • Data-driven Modelling of Financial Markets
  • Probability Theory and Stochastic Processes
  • Financial Engineering
  • Market and Credit Risk
  • Applied Computational Finance
  • Numerical Methods for Finance
  • Market Microstructure
  • Machine Learning with Applications in Finance
  • Algorithmic Trading
  • Financial Institutions and Markets
  • Blockchain Technologies
  • Operational Risk Measurement for Financial Institutions
  • Networks and Systemic Risk
  • Financial Market Modelling and Analysis

Optional modules

  • Applied Computational Finance
  • Numerical Methods for Finance
  • Market Microstructure
  • Machine Learning with Applications in Finance
  • Algorithmic Trading
  • Financial Institutions and Markets
  • Blockchain Technologies
  • Operational Risk Measurement for Financial Institutions
  • Networks and Systemic Risk
  • Financial Market Modelling and Analysis
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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