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Full time & Part time October MSc Full-time: 1 year

About the course

On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling.

We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.

The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You have the opportunity to study the use of financial market simulators for stress testing trading strategies, and designing electronic trading platforms.

In addition to traditional topics

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Entry Requirements

2.2 degree in Finance, Financial Economics, Economics, Engineering, Mathematics, Statistics, Physics or Computer Science.

We will accept graduates of any other degree but this must contain Mathematics (calculus) or Econometrics (probability, Statistics) Also some programming experience is required.

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