msc finance

Programme content

This programme provides you with all the technical tools and knowledge you need to work effectively as a quant or risk specialist in a bank, hedge fund or investment fund. It is taught by a combination of our outstanding faculty and industry practitioners from the city, providing a good mix of the latest research findings from the Business School’s Risk Management Lad and unique industry developments from professionals working in the field.

Students who complete the MSc Risk Management & Financial Engineering programme successfully will be able to:

  • Demonstrate a detailed knowledge of fundamental finance theories and models including their derivation and their use and context in the measurement and management of risk
  • Apply mathematical tools to complex financial problems relating to risk measurement, risk management and risk pricing
  • Use a range of programming tools to develop live implementations of financial models and use these implementations in practice
  • Apply econometric theory and software to analyse and evaluate investment decisions and data, and draw valid conclusions

Programme structure

Pre-study modules

These online modules will give you basic knowledge of areas which will be covered by the programme throughout the academic year.

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Foundation module

This foundation module will introduce you to the modern tools of finance.

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Core modules

You’ll study six core modules and an additional VBA module which will provide you with comprehensive and systematic training in the mechanisms and techniques involved in quantitative financial modelling.

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Electives

Customise your degree to meet your personal career ambitions through your electives.

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Project

In the spring and summer terms, you will choose between two types of research projects, in order to develop specialist skills and subject knowledge to benefit your future career.

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Timetable

The MSc Risk Management & Financial Engineering is a one year, full-time intensive programme. The normal working week is Monday to Friday. Classes will be scheduled between 08.30 and 21.00 and students should expect to attend one evening class per week, and other optional activities such as guest lectures or alumni and careers events may be scheduled in the evening.

View the timetable here.

Software facilities

MSc Risk Management & Financial Engineering students have access to the following software facilities:

  • Bloomberg: 12 Bloomberg terminals are provided across two computer rooms. Bloomberg is the main source of real-time data for traders and asset managers in the world’s leading financial organisations. Bloomberg provides very detailed information on a range of cash equities and bonds as well as derivatives.  The historical range of data is limited but data services such as Datastream are a good complement for this purpose.
  • Reuters Eikon: Reuters Eikon is similar to Bloomberg in that it provides real-time data for a very large number of cash securities and derivatives. Imperial provides a small number of licenses for students that require this service. Reuters Eikon is particularly comprehensive in the area of foreign exchange data but contains very useful information on all other asset classes as well as inclined bonds, equities and commodities
  • Datastream: Datastream is one of the best sources for long-term historical data for cash securities and derivatives as well as detailed company information. It contains longer time-series than many of the real-time data services.

Candidates that fail to successfully complete this degree are not entitled to a Postgraduate Certificate or Postgraduate Diploma.