MSc Quantitative Finance and Risk Management
Worldwide growth in the financial services sector has fuelled the demand for graduates with a sound understanding of generalist finance issues, combined with specialist skills in quantitative methodology and risk management.
The Quantitative Finance and Risk Management MSc builds on the School’s established strengths in economics and finance, and is closely aligned to our successful Banking and Finance MSc and Finance MSc programmes.
More specifically, the programme provides opportunities for students to develop relevant skills and a practical understanding of:
- the behaviour of international financial markets
- the ability to analyse the strategies of financial market investors
- an understanding of the role of finance in a modern economy
- Who is the programme for?
The Quantitative Finance and Risk Management MSc is suited to those wanting to develop a career in the broad financial services sector, but is particularly relevant to those interested in pursuing a career as a quantitative analyst in the investment banking and risk management fields.
Professional skill development
On completing the programme students should be able to demonstrate practical skills and the ability to:
- deal with complex issues both systematically and analytically, and to use this analysis to make sound judgements
- deploy advanced analytical techniques in the areas of finance and risk management
- critically assess the quality of the analytical data generated by these techniques, and to synthesise and present relevant data, conclusions and recommendations to both specialist and non-specialist audiences
- apply the knowledge, skills and understanding gained on the programme to complex issues within finance and related industries
The programme is modular in structure, comprising 180 credits, which are studied on a full-time basis over 12 months. All students will take the following compulsory modules (160 credits):
- Semester one:
- Introductory econometrics (10 credits)
- Research methods in economics and finance (10 credits)
- Modules taught in both semester one and semester two:
- Financial theory and corporate policy (20 credits)
- Financial derivatives (20 credits)
- Semester two:
- MATLAB for finance (10 credits)
- Time-series econometrics (10 credits)
- Risk modelling (10 credits)
- Applied economics (10 credits)
- Semester three:
- Dissertation (60 credits)
- Students will take further optional modules to a value of 20 credits from the following:
- International money and banking (10 credits)
- Behavioural finance (10 credits)
- Retail and investment banking (10 credits)
- Cross sectional and panel econometrics (10 credits)
Modules will be offered subject to availability.
Applicants should normally hold an upper-second class degree (2:1 level) or international equivalent.
Mathematical education as a substantial part of a first degree is required. Applications need to demonstrate a firm grasp of basic calculus, probability theory and statistical inference. If this is not clearly evident from your transcripts, please use your personal statement to give details of your mathematical knowledge.
Every application is considered on an individual basis and applicants who narrowly miss the academic entry criteria may be eligible for admission at the discretion of the selector.
Applicants whose first language is not English require IELTS 6.5 or equivalent, with a minimum of 6.0 in all sub-scores. Pre-sessional courses in English language are provided by the University if required and successful completion of these may be a condition of entry.
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