|Location||United Kingdom, Colchester Campus|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||£14,500.00 per year|
Undergraduate diploma (or higher)
overall grade of 2:2 and above
IELTS: 6.0 overall (with a minimum component score of 5.5)
At least 1 reference(s) must be provided.
Reference should be written on official letterhead, signed and dated. Please upload it in the Documents section.
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 in financial econometrics and market microstructure theory, we put special emphasis on areas:
- Statistical and computational methods
- Modelling trading strategies and predictive services that are deployed by hedge funds
- Algorithmic trading groups
- Derivatives desks
- Risk management departments
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.
We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).
CCFEA MSc Dissertation
Big-Data for Computational Finance
High Frequency Finance and Empirical Market Microstructure
Introduction to Financial Market Analysis
Professional Practice and Research Methodology
Quantitative Methods in Finance and Trading
Trading Global Financial Markets
Cloud Technologies and Systems (optional)
Constraint Satisfaction for Decision Making (optional)
Creating and Growing a New Business Venture (optional)
Digital Signal Processing (optional)
Evolutionary Computation and Genetic Programming (optional)
Financial Engineering and Risk Management (optional)
High Performance Computing (optional)
Industry Expert Lectures in Finance (optional)
Learning and Computational Intelligence in Economics and Finance (optional)
Mathematical Research Techniques Using Matlab (optional)
Programming in Python (optional)
Text Analytics (optional)
We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.
Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
Mitsubishi UFJ Securities
Bank of England