Postgraduate Study
MSc Computing and Management
This course offers graduates the opportunity to pursue their interests in both Computing and Management subjects at a postgraduate level. This MSc runs in collaboration with Leeds University Business School.
Modules taken in the Business School will give students a firm foundation in essential management issues, including marketing, finance, and organizational theory. In the School of Computing candidates will be introduced to the core fundamentals of information systems and computer science, including options in research-led computing for those who already have a first degree in computing.
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| Or go to list of courses in the School of Computing, or list of all courses in the Faculty of Engineering | |
Course summary
| Standard entry requirements | A minimum UK Upper Second Class Honours (2.1) degree or equivalent. |
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| Delivery options | Full time |
| English language requirements | A pass at GCSE level in English Language (grade C or above). International students must have an English language qualification at a suitable level, for example IELTS 6.5 or equivalent |
| Course Fees | Based on fees for Business School programmes the fees for 08/09 are: |
| Further information and how to apply | Please contact the Postgraduate admissions team:
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Typical careers
Having completed this course, graduates will be able to enter high-flying careers as IT professionals with both a sophisticated technical knowledge and the ability to approach the deployment of IT from a management perspective. Job prospects are likely to be in IT project management, the implementation of IT strategy in companies, the management of companies through IT-enabled change. Recent graduates from the School of Computing can be found in organisations such as Accenture, Logica, GE Consumer Finance, William Hill Plc, HBOS, ARM, Pierbridge CRM, LHASA, BTexact Technologies, Defense Science & Technology Laboratory UK, Plus Net Technology, Softwires Ltd, Lloyds TSB Registars, Acer, NIIT Technologies, Trion, AC Nielsen and Matrix Research amongst many others.
This course is part of the School of Computing