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.
This course is also available on a part-time basis.
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.
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
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: -HSBC -Mitsubishi UFJ Securities -Old Mutual -Bank of England
We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
-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)