Ranked in the top two per cent of world universities, the University of Essex
has established a global reputation for pioneering research which helps to change lives. Ranked ninth among UK universities for research quality, and top for social science, we are an international community for original thinkers.
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. In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on statistical and computational methods for modelling trading strategies and predictive services that are deployed by hedge funds, algorithmic trading groups, derivatives desks, and risk management departments.
MSc Algorithmic Trading 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.
Why study MSc Algorithmic Trading at Essex?
Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. We are supported by Essex’s highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School. Our research is geared towards practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.
Our Centre for Computational Finance and Economic Agents is based within our School of Computer Science and Electronic Engineering.
Our School provides six laboratories of typically 25 or more machines, which are designed to allow one-to-one interaction between our staff and students during scheduled class times. Our University is served by a Gigabit Ethernet LAN, and our students have free access to the internet, web and e-mail from all workstations. We have our own Gigabit backbone and standard network connectivity is 100Mbit/second. The specifications are kept up-to-date by renewing the machines on a rolling basis, and new systems are close to the highest specification possible at the time of purchase to cope with the computational demands of the latest application development environments.
Two of our labs are open for 24 hours a day, including weekends, and you have free access to the labs except when there is a scheduled practical class in progress. Our labs are managed by an experienced and dedicated team of technical support staff who can assist you with most practical aspects of the curriculum - for example, advising on how to overcome programming problems. In addition to our labs, our students are entitled to use all of the Computing Service's general access labs although our research students are provided with office space and dedicated equipment so do not need to use the labs.
Our applicants should have a 1st, 2:1 or high 2:2 degree, or equivalent, in a relevant subject.If English is not your first language, then we require IELTS 6.0 or equivalent.