MSc Algorithmic Trading

Postgraduate

In Colchester

£ 11,500 + VAT

Description

  • Type

    Postgraduate

  • Location

    Colchester

  • Duration

    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 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

Facilities

Location

Start date

Colchester (Essex)
See map
Wivenhoe Park, CO4 3SQ

Start date

On request

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Reviews

Subjects

  • Trading
  • Financial
  • Financial Training
  • Finance
  • Computational
  • Market
  • Algorithmic Trading
  • IT risk
  • Risk
  • Risk Management
  • Teaching
  • Financial Modelling
  • Trading Strategies
  • School
  • International
  • Engineering
  • Economics

Course programme

Example structure
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
Year 1
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)


Teaching
Taught over one year on a full-time basis
Taught modules for the first two terms, followed by a dissertation in the summer
Study is highly practical and involves both lectures and hands-on laboratory sessions
Analyse and model real world financial data
Attend lectures given by practitioners, including senior staff from HSBC, Olsen Ltd, Royal Bank of Scotland and the Financial Services Authority
Assessment
Courses are awarded on the results of your written examinations, together with continual assessments of your practical work and coursework
Dissertation
Many dissertations have formed the basis of published research papers
Students have been invited to present at international conferences and renowned institutions, such as the Bank of England
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Additional information

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) Professional accreditation This degree is accredited by the Institution of Engineering and Technology (IET) This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng) Our expert staff This course is taught by experts with both academic and industrial expertise in the financial and IT sectors We bring together leading academics in the field from our departments of economics, computer science and business Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management More broadly, our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities Specialist facilities We are one of the largest and best resourced computer science and electronic engineering schools in the UK Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment We have six laboratories that are exclusively for computer science and electronic engineering students Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress All computers run either Windows 7 or are dual boot with Linux Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and...

MSc Algorithmic Trading

£ 11,500 + VAT