Universities / University of Birmingham
MSc Financial Engineering (MSc FE)
Prepares students for quantitative analyst roles with computational and programming techniques, numerical methods and financial mathematics theory, ending in a 60-credit project.
What you’ll study
Core
- Advanced Mathematical Finance
- Financial Engineering Project
- Mathematical Finance
- Numerical Methods and Numerical Linear Algebra
Electives
- Algorithmic and High Frequency Trading
- Deep Learning 2
- Foundations of Statistical Inference
- Integer Programming and Combinatorial Optimisation
- Interest Rate and Credit Risk Modelling
- Largescale Optimization for Machine Learning
- Mathematical Securitisation
- Nonlinear Programming I and Heuristic Optimisation
- Quantitative Funds Management
- Stochastic Processes
- Time Series and Prediction
- Statistical Methods in Finance and Economics
Source: birmingham.ac.uk ↗
Before you apply
- Background
- 2:1 Honours in Mathematics or a programme with advanced mathematical components
- English
- IELTS 6.0 overall, no band below 5.5
Source: birmingham.ac.uk ↗
After graduation
- Typical first roles
- Quantitative analysis
- Employers
- Deloitte, Merrill Lynch, PwC, RHB Banking Group
Source: birmingham.ac.uk ↗
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 They’re personal views and may be out of date.
- Best Quant programs in UK (QuantNet)
- what UK quant MSc should i apply to? (QuantNet)
- Quantitative finance masters comparison UK (QuantNet)
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.
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