MSc Financial Computing

Postgraduate

In Colchester

£ 11,500 + VAT

Description

  • Type

    Postgraduate

  • Location

    Colchester

  • Duration

    1 Year

About the course
The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models

This, alongside work on software design in a number of real-world financial systems, will enable you to become a leader in this field


This course should interest you if you have a good first degree in computer science or engineering, or a BSc degree that provided a high level of programming expertise such as C++ and/or

NET

You receive training on the structure, instruments and institutional aspects of financial markets, banking, payment and settlement systems


You will attain a high level of competence in software development, in the area of financial computing, for implementation in an electronic market environment, as we introduce you to information and communication technology and automation that underpins financial systems, including:
Design issues relating to parallel and distributed networks
Encryption, security and real-time constraints
Straight Through Processing (STP)
Quantitative finance
Financial software architecture
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
  • Systems
  • Computing
  • Computational
  • Programming
  • Engineering
  • Market
  • Teaching
  • Design
  • Industry
  • International
  • Staff

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
Cloud Technologies and Systems


High Performance Computing


Introduction to Financial Market Analysis
Professional Practice and Research Methodology


Quantitative Methods in Finance and Trading


Computer Security (optional)


Constraint Satisfaction for Decision Making (optional)
Creating and Growing a New Business Venture (optional)


Digital Signal Processing (optional)


E-Commerce Programming (optional)


Financial Engineering and Risk Management (optional)
High Frequency Finance and Empirical Market Microstructure (optional)
IP Networking and Applications (optional)


Learning and Computational Intelligence in Economics and Finance (optional)
Mathematical Research Techniques Using Matlab (optional)


Mobile & Social Application Programming (optional)


Programming in Python (optional)


Industry Expert Lectures in Finance (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 Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School 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...

MSc Financial Computing

£ 11,500 + VAT