Master of Science in Computing
Course Level: Level 9 Duration: Applying:
Entry 1 year (September - September)
Application is made directly to the Admissions Office. See
www.gmit.ie/postgrad for details.
Minimum entry requirement is a H2.2 in a level 8 computing degree
Requirements: (software development) or computer engineering (with a significant level of software development).
International students are required to meet an English language standard equivalent to TOEFL (600) / IELTS (6.5).
Closing Date: Closing date for receipt of completed application forms is 1 May 2013. Late applications may be considered subject to places being available.
Course Overview
The MSc in Computing is a fully accredited taught masters degree delivered by the Maths & Computing Department, School of Science, at the main Dublin Road campus of GMIT. The programme provides an opportunity for new and recent graduates to further develop professionally and personally, as well as enhancing their career prospects with a recognised and valued postgraduate degree. The MSc in Computing endeavours to develop in participants advanced thinking and technical know-how in a range of inter-related technology-centric disciplines. These disciplines are explored through a curriculum underpinned by four central themes; a programming / software development theme, a data / data design theme, a systems design / security theme, and a process management / quality theme. The programme is highly focussed with a significant practical element in all taught modules, including an even split between classroom and laboratory work in each module.
It is envisaged that those successfully completing this masters degree programme will have advanced knowledge in object oriented design techniques, modern database configuration and performance tuning strategies, advanced software engineering methodologies and the application of forensic analysis tools to computer and network systems. Additionally, graduates of the programme will be highly competent in the application of appropriate research methodologies and techniques to the domain of computing and software systems.
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