This programme draws on recent developments in finance with a quantitative approach to help you understand the structure of financial markets in order for you to make optimal investment decisions.
Why this programme?
- Quantitative Finance will provide you will a detailed understanding of:
- the structure of financial markets and forecasting of financial data
- theoretical models in the core areas of quantitative finance, such as option pricing and hedging
- advanced econometric and calibration methods to construct practical models of asset prices using these theories.
- You will put theory into practice by using software packages such as C++ and Matlab, and will have access to our Bloomberg training room to enhance your employability skills.
- You will develop programming skills to utilise in the workplace. In lectures you will be taught the theory and be provided with a financial problem and you will solve these in labs/tutorials.
- We are now partners with Bloomberg Experiential Learning. The ELP program recognises and celebrates academic institutions that are leaders in experiential learning through the integration of Bloomberg terminal exercises into curriculum.
- Take advantage of our individualised skills development programme, which will ensure you balance academic theory with crucial employability skills to help you maximise your potential and achieve your career goals.
Programme structure
You will take four core and two optional courses and complete a substantial independent piece of work, normally in the form of a dissertation.
Core courses
- Applied Computational Finance
- Dissertation Gcefs
- Financial Market Microstructure
- Investment, Finance and Asset Pricing
- Mathematical Finance
Optional courses
- Basic Econometrics
- Economic Fundamentals and Financial Markets
- Empirical Asset Pricing
- Financial Services
- Modelling and Forecasting Financial Time Series
- Portfolio Analysis and Investment
- Machine Learning in Finance With Python (potential new course for 2022 - subject to change/approval)
Programme alteration or discontinuation
The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme.
Career prospects
This programme will help prepare you for a career in government, international organisations or financial institutions working as derivative traders, quantitative traders or quantitative risk managers. Recent graduates have taken up positions in various investments banks. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.
Fees & Funding
Tuition fees for 2023-24
MSc
UK - Full-time fee: £13,650
International & EU - Full-time fee: £29,370
Entry requirements
2.1 Honours degree or non-UK equivalent in economics, finance, engineering, physics, or another highly mathematical discipline.
Only applications that meet or exceed our stated entry requirements will go forward for consideration. Any application that does not will be automatically rejected. Applicants will be made offers based on their relative performance compared to other applicants, taking into account both current GPA, or degree classification, and the relevance of an applicant’s academic background.
Please note, applications that meet our minimum entry requirements may still be rejected, based on its score in comparison to other applications received during the same round. Please review our stated entry requirements to ensure you meet or exceed them before submitting your application.
International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses.