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MSc Financial Engineering

  • DeadlineStudy Details:

    MSc 9 or 12 months full-time

Course Description

The quantitative finance skills that you will develop in the MSc Financial Engineering programme are sought after by major employers in the sector. The need to develop more effective pricing and hedging models for complex financial products is more important than ever following the most recent global financial crisis. Our compulsory modules provide a firm grounding in probability theory, stochastic calculus, derivatives pricing, quantitative and numerical methods, structuring products, volatility analysis, and the modelling of credit, equity, foreign exchange and interest rate derivatives. We also provide a thorough training in C++ and other programming tools.

Optional modules will allow you to focus on risk analysis, portfolio management, designing trading strategies or econometric analysis. A good background in mathematics is required for acceptance to this programme.

Entry Requirements

  • Undergraduate Degree – Minimum 2:1 or the equivalent from an overseas institution*
  • Degree Discipline – Quantitative discipline – must have a very good existing level of numeracy. Mathematical and engineering degrees are preferred
  • GMAT – We may ask you to submit a GMAT score if we think it appropriate in your individual case. For example, if you have been out of education for more than a few years or have little evidence of any numerical ability.For information on the GMAT and the location of test centres worldwide,

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Fees

For fees and funding options please visit website to find out more

Programme Funding

Masters scholarships available please visit website for details

Student Destinations

Many of our financial engineering graduates are now working as Quants in large London banks and other financial institutions. Others have pursued PhDs and have successful academic careers. Financial instruments are becoming ever more sophisticated, so graduates that understand complex modelling techniques are always in great demand. The high quantitative content of this programme opens many doors to a wide range of careers. You could structure and develop new debt or equity solutions to meet clients funding and hedging needs, or you could become a proprietary trader in exotic derivatives, or a software specialist or a quantitative analyst supporting the traders.

Module Details

Part 1 Modules

Compulsory modules

Quantitative Methods for Finance (ICM103)

Securities, Futures and Options (ICM107)

Fixed Income and Equity Investments (ICM108)

Stochastic Calculus and Probability (ICM127)

Part 2 Modules

Compulsory modules

  • Programming for Financial Engineering (ICM177)
  • Advanced Derivatives Modelling (ICM286)
  • Derivatives Modelling (ICM292)
  • Numerical Methods for Financial Engineering (ICM299)

Students on the 9-month (12-month) programme can select 30 (10) credits from the following modules:

Optional modules

Students on the 9-month (12-month) programme can select 30 (10) credits from the following modules:

  • Financial Econometrics (ICM204)
  • Market Risk (ICM207)
  • Derivatives Securities: Pricing, Hedging and Trading (ICM211)
  • Research Project (ICM218)
  • Fixed Income Cash and Derivative Markets (ICM306)
  • Machine Learning in Finance (ICM322)
  • Big Data in Finance (ICM323)

Part 3 Modules (12-month only)

Optional modules

  • Advanced Finance Theory with Empirical Applications (ICM289)
  • Energy Finance (ICM301)
  • Stock Index Futures (ICM308)
  • Work Placement and Project (ICM309)

University of Reading Campus

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