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MSc Computational Finance

Course Description

The University of Essex is one of the UK's leading academic institutions, ranked ninth nationally for research excellence following the most recent Research Assessment Exercise (RAE, December 2008).

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 MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events. You will have the opportunity to study methods of non-linear and evolutionary computational methods for derivatives pricing and portfolio management. You will also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

If you are a high calibre and creative student from a quantitative discipline (for example, engineering, physics, computer science, statistics, mathematics or quantitative economics/finance), then you will enjoy our intellectually challenging and socially vibrant atmosphere. You receive practical hands-on instruction, with a focus on problem solving skills, that equips you for high flying careers.

Our taught courses run for one year on a full-time basis and consist of taught modules for the first two semesters, followed by a dissertation in the summer. We ensure your study is highly practical and involve both lectures and hands-on laboratory sessions in which you have the opportunity to analyse and model real-world financial data.

Each of our taught courses are highly cross-disciplinary and involves some elements of programming, statistics and mathematics, with the particular focus depending on the course you choose. However we do not assume that you have prior formal training in finance or economics, so run an optional pre-sessional course that provides all your required foundational material.

Visit the MSc Computational Finance page on the University of Essex website for more details!

(Student Profile)

Lenka Hladova

"I decided to study at Essex because it was a big campus-based university, and offered many courses to choose from. I have always loved finance, especially the mathematical and statistical side of it. MSc Computational Finance offered me a great selection of modules which all looked very interesting and practical.

The teaching in CCFEA is at a very high level, and all my lectures and laboratories are brilliant. I really appreciated that all my lecturers always try to answer our questions, and to make sure that we understand. It is also good that they all know your name and talk with you outside of your classes, so have given me some valuable advice about my future and further career.

I think it is very important to have a good education, which Essex offers. During my studies, especially my Masters within CCFEA, I have realised what I would love to do in my career. Having a postgraduate qualification gives me an edge in the competitive world of work.

My fondest memory of the University will be all the new people I have met; I have made very good friends with people from all over the world."


Entry Requirements

2:1 or above in appropriate discipline. IELTS 6.0.

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