|Programme Director:||Prof. Pasquale Scaramozzino|
|Fee:||£10,080. For full information on fees and payment options, visit our Fees page.|
|Programme start:||November / January / April / June / July|
The MSc Finance enables you to deepen your understanding of financial markets, banks, and their relation to economic performance. It provides a sound platform for advancing your career in finance and policy. Because finance is so wide ranging, the degree enables you to choose between four majors:
The MSc Finance programme's four alternative Major pathways enable you to select a study path best suited to your objectives and skills.
The MSc Finance (Quantitative Finance) is designed principally for postgraduates whose work in banks and other financial institutions requires knowledge of statistical (particularly econometric) and quantitative approaches to risk and derivatives. It is particularly suitable if you have a first degree in engineering, applied science, applied mathematics, economics, or similar subjects, but also suitable for others with quantitative skills.
If you have any further questions about the overall programme content and its suitability for you, please email email@example.com.
Modules and programme structure
You will study five core modules listed below plus you will choose three other modules from the list of electives.
As a graduate of this programme you will be well prepared for senior research and other positions in banking, fund management, consultancy, central banks and international bodies.
This programme takes a minimum of two years to complete. Each module lasts eight weeks. You are registered for a maximum of five years.
Education and experience
You should have a recognised UK Bachelor's degree, or international equivalent, in finance, economics, or another appropriate discipline. Qualifications in other subjects will be assessed on their merits. Your application may be considered if you have previous education and experience, equivalent to a degree-level qualification, which includes suitable preliminary training.
For all of our modules you are required to have a high level of English language ability in reading and writing and in study skills.
If your first degree was not taught in English, you will need to provide evidence of language ability. You will meet the English language requirement if you have passed any of the following within the past three years:
- (IELTS) International English Language Testing System (Academic) with an overall score of 7.0 or above, including a minimum of 7.0 on the written sub-test
- Pearson Test of English (Academic) with an overall score of 67 or above, including a minimum of 67 attained on each of the reading, writing, speaking and listening elements
- Cambridge Certificate of Proficiency in English
- Cambridge Certificate of Advanced English with an overall score of 185 or above, including a minimum of 185 attained on each of the reading, writing, speaking and listening sub-tests
- (TOEFL) iBT Test of English as a Foreign Language with an overall score of 95 or above, including a minimum of 24 attained on the reading and writing skills sub-tests and a minimum of 25 attained on the speaking sub-test and 22 attained on the listening sub-test.
Where an applicant does not meet the required English language level but believes they can demonstrate the required level for admission the University may, at its discretion, consider the application.
You are required to have internet access to participate in this programme.
- Econometric Analysis and ApplicationsC332
- Econometric Principles and Data AnalysisC330
- Financial EconometricsC359
- Modelling Firms and MarketsC358
- Risk Management: Principles and ApplicationsC323
- Banking and Capital MarketsC326
- Bank Regulation and Resolution of Banking CrisesC356
- Corporate FinanceC321
- Corporate GovernanceC344
- Finance in the Global MarketC342
- International FinanceC329
- Macroeconomic Policy and Financial MarketsC325
- Microeconomic Principles and PolicyC357
- The International Monetary Fund and Economic PolicyC313
- Research MethodsC353