MSc Computational Finance (MSc CF)
A one-year computer-science-led master's covering numerical methods, financial engineering, data science and machine learning applied to finance, ending in a project. It sits in UCL's computing department rather than a maths department, so the emphasis is on computation and implementation.
What you’ll study
Core
- Numerical Methods for Finance
- Data Science
- Financial Engineering
- Machine Learning with Applications in Finance
- MSc Computational Finance Project
Electives
- Applied Computational Finance
Source: ucl.ac.uk ↗
Before you apply
- Background
- Upper second-class (2:1) UK degree or equivalent in a quantitative subject such as maths, statistics, physics, computer science, engineering, economics or finance (per third-party listings; not confirmed on UCL page)
- English
- UCL English language Level 2 (IELTS 7.0 typical per third-party listings)
Source: ucl.ac.uk ↗
After graduation
The programme doesn’t publish an employment report.
QuantNet’s 2026 ranking reports 96.0% employed at 3 months; 80.0% employed at graduation employment and a £64,763 base starting salary. See the ranking ↗
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- University of Warwick MSMF vs University College London MSCF (QuantNet)
- University College London - MSc Computational Finance (QuantNet resource) (QuantNet)
- 2024 QuantNet Rankings of UK Quant MSc Programs (QuantNet)
Module list is indicative as reported from the official page; other UCL material mentions options such as blockchain and algorithmic trading. Third-party sites quote different fees; UCL's figures used.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.