MSc Mathematics and Finance (MSc M&F)
A maths-led masters mixing portfolio theory, derivative pricing, stochastic processes and actuarial-style survival modelling with statistics, plus optional modules such as machine learning and big data. A dissertation can be done on a professional placement.
What you’ll study
Core
- Dissertation (MA981) or placement-based dissertation (MA983)
- Statistical Methods
- Stochastic Processes
- Mathematics of Portfolios
- Survival Analysis
- Financial Derivatives
- Research Skills and Employability
Electives
- Option(s) from a list (55 credits); specific list not shown on page
Source: essex.ac.uk ↗
Before you apply
- Background
- 2:2 or equivalent in applied maths, biostatistics, computer science, economic statistics, economics, mathematics, OR, pure maths or statistics; or any 2:2 including three listed maths/statistics modules
- Maths
- calculus or advanced maths; statistics or probability; one further module (e.g. algebra, analysis, differential equations, numerical methods)
- Programming
- R, MATLAB or Python module counts toward the third module requirement
- English
- IELTS 6.0 overall, no component below 5.5
- Other
- Below-2:2 applicants considered on experience and prior modules
Source: essex.ac.uk ↗
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
Careers listed generically (financial services, scientific computation, risk assessment, statistics, education, PhD). No employment rate, salary or named employers published.
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.