Quantitative Finance and Risk Management MSc
Newcastle upon Tyne, United Kingdom
DURATION
12 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 29,900 / per year *
STUDY FORMAT
On-Campus
* international students | GBP 16,000 - home students
Introduction
Our Quantitative Finance and Risk Management MSc will develop your understanding of generalist finance issues. You'll also develop specialist practical skills in quantitative methodology and risk management.
Develop your career in financial services, or as a quantitative analyst in investment banking and risk management fields.
There has been worldwide growth in the financial services sector. This has fuelled the demand for suitably qualified graduates. We ensure you'll graduate ready to meet this demand. You'll develop a sound understanding of generalist finance issues, and gain specialist skills in quantitative methodology and risk management.
You'll be able to develop a career in the financial services sector. The course is also suitable for future quantitative analysts in economics and finance.
Rankings
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- Global Top 130 University - QS World University Rankings 2025
- Global Top 170 University - Times Higher Education World University Rankings 2024
- Top 200 for Accounting and Finance - QS World University Rankings by Subject 2024
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024
Curriculum
What you'll learn
This course will provide the opportunity for you to develop relevant skills and a practical understanding of:
- the operation and behaviour of international financial markets
- the ability to analyse the strategies of financial market investors
- the role of finance in a modern economy
Of particular note is the practical module on MATLAB. This provides you with a detailed understanding of how this programming tool can be used for effective empirical modelling.
Advanced statistical software
Where possible you'll have access to advanced statistical software including:
- Eviews
- SPSS
- Stata
- MATLAB
- SAS
- Maple
- Minitab
- R/R Studio
- Python
Databases
You'll also have access to a number of financial databases including:
- Bloomberg - access to trading terminals is available on-campus only
- LSEG Workspace (Eikon, DataStream)
- WRDS (Compustat, CRSP, CSMAR, I/B/E/S, TRACE, OptionMetrics)
- Fame
- Orbis Europe (formerly Amadeus)
- Orbis Asia Pacific (formerly Oriana)
- Orbis Crossborder Investment
Compulsory Modules
- Dissertation
- MATLAB for Finance
- Risk Modelling
- Applied Econometrics
- Research Methods in Economics and Finance
- Introductory Econometrics
- Financial Theory
- Financial Derivatives
- Critical Skills for Finance
Optional Modules
- International Money and Banking
- Behavioural Finance
- Retail and Investment Banking
- International Finance
- Corporate Finance
- Portfolio Management
- Numerical Methods and Scientific Programming
- Applied Data Science
- Financial Technology
- Green Finance and Sustainability
Career Opportunities
Graduate destinations
Graduates from this course have undertaken various roles, including:
- financial trader
- financial analyst
- risk analyst
- engineer on economic modelling
- investor relations adviser
- economist
- auditor
Careers
This course prepares you for a wide range of careers with employers, such as:
- HSBC Bank
- Industrial and Commercial Bank of China
- Normura
- Tiburon Partners LLP
- PwC
- KPMG
- State Oil Company of Azerbaijan Republic