Course summary
Our MSc Quantitative Finance programme is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics, as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.
- Learn how to forecast and manage risk and return
- Gain the skills to price any financial instrument
- Learn how to engineer new methods and financial products
- Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
- Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.
- MSc Accounting , MSc Accounting and Finance , MSc Finance and MSc Quantitative 20 best performing students from semester 1 who show a strong interest in CFA, will get free access to Kaplan's online training materials for CFA Part One.
- Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
- The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
- Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
- The CFA is the most respected and recognised investment designation in the world.
- experience a live trading floor provided by two experienced traders with specialist software
- engage with contemporary financial markets and apply your classroom theory in practice
- watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
- a fantastic opportunity to prepare you for successful careers after graduation.
- gain access to one of the UK's most comprehensive collections of specialist financial and business databases that are used by top researchers around the world.
- Databases include Bloomberg, Datastream, Thomson ONE, Compustat, WRDS, Capital IQ and many more.
Entry requirements
We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent. You ideally need a a degree in finance, economics, mathematics, statistics, physics, engineering, actuarial or decision sciences and have taken or be taking a significant number of modules in quantitative subjects, such as differential equations, econometrics or mathematical statistics in the final year of your degree, with excellent results. A GMAT/GRE is not required to apply for this course but in some cases The Admissions Team may request this after the initial review of your application if your degree does not contain enough relevant quantitative modules. When assessing your academic record, we take into account your grade average, position in class and the standing of the institution where you studied your qualification.
English language requirements
For the latest information on demonstrating your English proficiency for those whose first language is not English, please see our language requirements.
https://www.alliancembs.manchester.ac.uk/study/masters/masters-entry-requirements/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For fees for entry in 2026, please view the course listing on our website.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL