MSc Computational Finance

Postgraduate

In Colchester

£ 11,500 + VAT

Description

  • Type

    Postgraduate

  • Location

    Colchester

  • Duration

    1 Year

About the course
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


We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets

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 master these areas through studying topics including:
Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
Applications of calculus and statistical methods
Computational intelligence in finance and economics
Financial markets
You 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


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


Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government

Facilities

Location

Start date

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

Start date

On request

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Reviews

Subjects

  • Financial
  • Financial Training
  • Finance
  • Computational
  • Teaching
  • Market
  • Financial Modelling
  • Derivatives
  • International
  • Industry
  • IT risk
  • Economics
  • Risk Management
  • Staff
  • Risk

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
Financial Engineering and Risk Management
Introduction to Financial Market Analysis
Learning and Computational Intelligence in Economics and Finance
Professional Practice and Research Methodology


Quantitative Methods in Finance and Trading


Big-Data for Computational Finance (optional)
Industry Expert Lectures in Finance (optional)
Mathematical Research Techniques Using Matlab (optional)


Programming in Python (optional)


Artificial Neural Networks (optional)


High Frequency Finance and Empirical Market Microstructure (optional)
Machine Learning and Data Mining (optional)


Trading Global Financial Markets (optional)


Creating and Growing a New Business Venture (optional)


Evolutionary Computation and Genetic Programming (optional)


Constraint Satisfaction for Decision Making (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

This course is also available on a part-time basis 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 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 Project Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET) We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors Your future We have an extensive network of industrial contacts through our City...

MSc Computational Finance

£ 11,500 + VAT