Course summary
The MSc in Mathematical Trading & Finance prepares you for the sophisticated new investment opportunities, risks and instruments created by financial innovation and globalisation. The programme combines mathematical theory with practical applications, teaching you how to control risks and understand the complex structure of derivative securities. Students should be at ease with sophisticated mathematical methods and statistical techniques. By the end of the course you will be ready to participate in derivatives markets, and many graduates have progressed directly to trading floor positions in leading banks. Our proximity to the City of London has done much to facilitate this progression, our Bloomberg and Refinitiv trading rooms, which expertly simulate the trading environment, also do much to prepare you for the real world of trading and finance.
Modules
Term 1: Four core modules - Derivatives 1 - (Part-time Year 1); Mathematical Finance and Stochastic Calculus - (Part-time Year 1); Advanced Financial Econometrics - (Part-time Year 2); and Quantitative Asset Pricing - (Part-time Year 2). Term 2: Four core modules - Derivatives 2 - (Part-time Year 1); Numerical Methods in VBA - (Part-time Year 1); Risk Analysis and Modelling - (Part-time Year 2); and Structured Equity and Energy Derivatives - (Part-time Year 2). Term 3: Electives - Hedge Funds; Commodity Derivatives & Trading; Behavioural Finance; An introduction to Islamic Banking, Finance and Insurance; Trading & Market Microstructure; Ethics, Society and the Finance Sector; Mergers and Acquisitions; Energy Markets; Corporate Governance; Advanced Company valuation; Pension Finance; Private Equity Investment; Technical Analysis and Trading Systems; Advanced Financial Engineering and Credit Derivatives; Advanced Financial Modelling and Forecasting; Advanced Options Trading; Fixed Income Arbitrage and Trading; Trading and Hedging in the Forex Market; Real Estate Fund and Portfolio Management; Matlab; Project Finance & Infrastructure (Taught in a block format in Madrid); Global Real Estate Markets (Taught in a block format in Dubai).
Assessment method
To satisfy the requirements of the degree programme students must complete: nine core courses and five electives; or one elective and a Business Research Project
Entry requirements
A UK 2.1 or above, or the equivalent from an overseas institution; Previous degree must be in a highly quantitative subject such as mathematics, physics or engineering; Students from alternative academic backgrounds should have covered areas such as linear algebra, calculus, probability and regression analysis within their first degree; Transcript/interim transcript; Current module list if still studying; CV; Personal statement (500-600 words); IELTS result, if report available; Confirmation of professional qualification examinations/exemptions/passes, if applicable; Two references; Work experience is not a requirement of this course.
Fees and funding
Tuition fees
| EU | £30000 | Whole course |
| International | £30000 | Whole course |
| England | £30000 | Whole course |
| Northern Ireland | £30000 | Whole course |
| Scotland | £30000 | Whole course |
| Wales | £30000 | Whole course |
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
City, University of London
Northampton Square
City of London
EC1V 0HB