For this programme, we select students with experience in differing disciplines including mathematics, statistics, economics, business (with strong statistical training). As such, you will need to strengthen your knowledge in certain fields before the programme starts; in other fields you would derive some real benefits from engaging in some background reading before the programme starts.
With this in mind, we have created a preparatory reading list. We strongly recommend that you work through this reading list prior to starting the programme.
The following are some of the books which will be used during the programme and which you may find helpful to read in advance. We especially encourage students who are rusty in statistics in particular to try to re-familiarise yourselves with these subjects. Which edition you read is not critical.
Core Courses
Introduction to Credit Risk Management
- Thomas, L., Edelman, D. and Crook, J. (2017) Credit Scoring and its Applications (2nd edition). Philadelphia: SIAM.
- Howells, P., and Bain, K. (2007). Financial Markets and Institutions (5th edition). Pearson.
- Mishkin, F.S., and Eakins, S.G. (2015). Financial Markets and Institutions (8th edition). Pearson.
Introduction to Risk Management in Banks
- Saunders & Cornett (2011). Financial Institutions Management. McGraw-Hill. ISBN 978-007-128955-9.
Statistics for Analytics
- Anderson, D.R. (2024) Statistics for Business and Economics (6th edition). Cengage.
- Bandyopadhyay, A. (2022) Basic Statistics for Risk Management in Banks and Financial Institutions (1st edition). Oxford University Press.
Analysis of Corporate Financial Information
- Alexander, D., Britton, A., and Jorissen, A. (2009). International Financial Reporting and Analysis. South-Western Cengage Learning. ISBN 13:9781408017920.
Introduction to Python
- Matthes, E. (2023) Python Crash Course: A Hands-On, Project-Based Introduction to Programming. No Starch Press.