MSc in Computing for the Financial Services
Programme Overview
- The MSc Computing for the Financial Services provides an intensive course for graduates interested in pursuing a career in the financial services industry. It is specifically tailored for graduates of Computer Science or related subjects containing a substantial amount of programming. As well as gaining a broad knowledge of the subject, students acquire practical skills and have the opportunity to investigate certain areas of current research more deeply.
- For students who are new to the subject, this MSc provides the foundation for a career in IT within the financial services industry, and for those already working in IT, it provides an opportunity to broaden their knowledge and update their skills specifically for finance while obtaining a formal qualification.
- The programme offers a single software development pathway in Java. For more experienced students there is the opportunity to carry out project work in other languages.
Apply now
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Part-time
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Full-time
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Or join us for an Open Evening to find out more
Aims
The MSc Computing for the Financial Services is a specialist advanced computing programme aimed at students who wish to work in the financial services.
Holders of the MSc will have demonstrated a systematic understanding and a critical awareness, much of it at the forefront of the discipline, a comprehensive and practical understanding of applicable techniques, the theory and practice of markets and portfolio management, the mathematical tools required in this context, originality in the application of knowledge, the ability to evaluate current research and methodologies, and the independent learning ability required for continuing professional development.
For students who are new to the subject, this MSc provides the foundation for a career in IT within the financial services industry, and for those already working in IT, it provides an opportunity to broaden their knowledge and update their skills specifically for finance while obtaining a formal qualification.
Features
All students complete a project, comprising the design, development and evaluation of a major piece of software in the target application domain.
Entry requirements
- A good first degree or MSc in computer science, with the syllabus containing a substantial amount of programming, preferably in an object-oriented language.
- Joint honours computing graduates or graduates in related engineering and science disciplines may also be eligible, provided they have covered a substantial amount of programming, or have equivalent professional experience in the IT industry.
Attendance
- The MSc Computing for the Financial Services starts in October and runs over two years part-time or one year full-time.
- Part-time students are expected to attend two or three evenings per week (6pm to 9pm) during term time.
- Full-time students are expected to attend three or four evenings per week (6pm to 9pm) during term time
- You will also have to do work outside the class in order to complete activities and assignments.
How to apply
- Start the process by completing the application form. Online applications are strongly encouraged. See "Apply now" above.
- Non EU/EEA Nationals, must also provide documentary evidence confirming that they have leave to remain and the right to work in the UK.
Course content
The MSc Computing for the Financial Services is a modular programme.
You study the core modules shown below.
All students must also complete a project, comprising the design, development and evaluation of a major piece of software in the target application domain.
Modules
Compulsory
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Optional
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Lecturer(s): Department of Management
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Lecturer(s): Alexandra Poulovassilis, Richard Brownlow, (2019/20)
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Lecturer(s): Paul Yoo
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Lecturer(s): Keith Mannock
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Lecturer(s): Oded Lachish
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Lecturer(s): Nigel Martin
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Lecturer(s): George Magoulas
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Lecturer(s): Dell Zhang
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Lecturer(s): Keith Mannock