Program Overview

Introduction to Financial Risk Management MSc

The Financial Risk Management MSc is a distinctive finance program taught from a computer science perspective, designed to produce talented practitioners in the field. This program brings together traditional theories in finance, data analytics, quantitative and computational modeling techniques, enabling students to thrive in risk management roles in the financial sector.

Program Overview

The program is a one-year, full-time course that starts in September. It is suitable for international students on a Student visa, with study being full-time and face-to-face.

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.
• Good performance in mathematics and statistics exams, with marks not below a UK upper second-class or international equivalent level.
• Individuals with a background in mathematics, physics, statistics, computer science, engineering, economics, or finance are encouraged to apply.

English Language Requirements

• The English language level for this course is Level 2.
• UCL Pre-Master's and Pre-sessional English courses are available for international students aiming to study for a postgraduate degree at UCL.

Visa Information for Non-UK Students

This program is suitable for international students on a Student visa, with study being full-time and face-to-face, starting in September.

Equivalent Qualifications

Country-specific information can be obtained from the International Students website. International applicants can find out the equivalent qualification for their country by selecting from a list of countries.

Course Structure

The MSc Financial Risk Management is delivered through a combination of lectures, tutorials, lab classes, and self-directed learning supported by online resources. Students will be assessed through various methods, including coursework, projects, exams, and a final research project/dissertation.

Modules

• Compulsory modules:
  • Data-driven Modelling of Financial Markets
  • Probability Theory and Stochastic Processes
  • Financial Engineering
  • MSc Financial Risk Management Project
  • Market and Credit Risk
• 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

Career Opportunities

Graduates from this program have pursued careers in the accountancy and financial services sectors, IT, technology and telecoms, consultancy, logistics, and distribution. Employers include top financial institutions and technology companies.

Employability

The program offers strong employability with high employment rates and starting salaries. Graduates are well-prepared to enter a variety of high-demand roles in financial risk management.

Research Skills

The research-based components of the program equip students with strong analytical and problem-solving abilities, preparing them for potential doctoral studies or research-intensive roles in industry.

Location

Studying in London, a global financial and technology hub, provides students with proximity to top technology companies, entrepreneurial projects, and industry practitioners, enhancing their learning and career opportunities.

Fees and Funding

• UK students: Ł34,700 (2026/27)
• International students: Ł50,600 (2026/27)
• Additional costs include a fee deposit, a modern computer with specified minimum requirements, and potential costs for a capable GPU for machine learning projects.

Accessibility

The department endeavors to make reasonable adjustments for students with disabilities. Details of the accessibility of UCL buildings can be obtained from AccessAble, and further information can be obtained from the UCL Student Support and Wellbeing Services team.

Facilities

UCL Computer Science boasts state-of-the-art facilities, including recently renovated labs with high-performance PCs, ample laptop space, and versatile power options. UCL East is home to the Intelligent Robotics Lab, a hub of innovation and cutting-edge technology.