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| Annual Tuition Fee: | ≈ € 5,160 - ≈ € 12,000 (non-EEA) | ||
| Location: | Dublin / Ireland / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
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| Languages: | English | ||
The MSc in Computing (Information and Knowledge Management) programme focuses on an area of great relevance to Ireland’s emerging knowledge-based society and supporting knowledge economy producing computing graduates who will be able to design and manage the building of the information and knowledge infrastructure organizations need to compete in the emerging global digital economy.
The programme aims to produce graduates with knowledge and practical skills to effectively design and manage projects which use ICT and knowledge management techniques to develop and leverage the information and knowledge infrastructures and assets required by modern enterprises.
Assessment
Each module requires students to complete practical work during the semester and may require that they sit examinations at the end of the semester in which the module is delivered. Examinations for Semester 1 are held in January and those for Semester 2 are held in May.
Full details of all module assessments are available in the programme document (see
Progression
Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS as defined in the programme pathway (available at
Students who wish to complete an MSc will be eligible on successful completion of all core modules.
Career Opportunities
Some possible specialist roles include: Knowledge Manager, Knowledge Engineer, Knowledge Project Manager, Knowledge Architect, Knowledge Analyst, Knowledge Leader, Knowledge Co-ordinator, Data Analyst, Data Manager, Business Analyst, Knowledge & Content Manager. As well as the traditional roles available to graduates of an MSc in Computing programme: developer, business analyst, IT consultant, IT project manager.
The Core modules are:
* Advanced Databases
* Systems Architectures
* Knowledge Management Tools and Techniques
* Knowledge Acquisition and Modelling
* ICT Regulation and Professional Issues
* Software Project Management
* Problem Solving, Communication and Innovation
* Case Studies in Computing
* Research Writing & Scientific Literature
* Research Methods and Proposal Writing
* Research Project and Dissertation
The option modules are
* Visualisation
* Data Management
* Data Mining
* Machine Learning
* Geographic Information Systems
* Security
* Ubiquitous Computing
* Universal Design
* Man and Machine
* Accessible Web Design
* Inclusive Learning Through Technology
* Data Mining
* Data Management
* Language Technology
* Designing and Building Semantic Web Applications
* Spatial Statistics and Spatial Knowledge Discovery
* User-Centred Design
The options offered each year are subject to timetabling restrictions and student numbers.
You are normally required to take an English Proficiency Test.
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* For the full-time route, teaching hours will take place Monday to Friday. Attendance on occasional Saturdays is required for the Case Studies in IT module. Timetabled hours are calculated based on the requirement to complete 100 teaching and learning hours for 5 ECTS credits. In general students complete 30 ECTS in Semester 1, 30 in Semester 2 and 30 in Semester 3 for the dissertation.
* For the part-time route, teaching generally will be held Monday to Wednesday subject to timetabling. Attendance on Saturdays for is required for the Case Studies module and may be required for some optional modules. Timetabled hours are calculated based on the requirement to complete 100 teaching and learning hours for 5 ECTS credits. The timetabled hours depends on the number of modules taken. The part-time programme is modular and flexible, allowing students to complete the programme over a longer period of time should they choose.
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| IELTS Band: | 6.0 |
| Cambridge English: Advanced (CAE): | Grade A (Score: 80) |
| TOEFL Paper-based: | 550 |
| TOEFL Computer-based: | 213 |
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