About the course
The programme seeks to provide graduates with the skills necessary to enable them to find employment in the I.T. sector or to proceed to obtain higher qualifications in computing. The programme learning outcomes are in accordance with those outlined by QQI for Level 9 qualifications.
The aims of the programme are to:
Develop independent, critically-minded specialists capable of analysing industry trends and opportunities in the field of Big Data
Enable learners to take intelligent advantage of those trends and opportunities in the field of Big Data via robust and efficient practical solutions to data storage and analysis
Prepare graduates to rigorously apply appropriate research, design and implementation strategies in the development of Big Data solutions
Develop analysts capable of performing in-depth, coherent, and ultimately significant reports on the state of the art and the likely future directions of the field, with respect to a problem domain
Extend the learners in-depth knowledge, understanding and practical skills in meeting the specific technical and design requirements of exacting industry standards as they emerge
Deepen the learners knowledge of supporting topics such as statistical analysis, including an in-depth understanding of the appropriateness of particular analytic models for a given task, data gathering, and Big Data algorithm design, to name a few
Develop the skills necessary to do independent research in a professional manner
Prepare learners who can reliably perform a range of distinct roles within group based project teams by establishing effective collaborative working relations with colleagues to achieve common goals
Enable graduates to implement robust, scalable Big Data applications with a focus towards providing business intelligence to key industry decision makers
Develop team-players who can reliably communicate problems, ideas and solutions to all levels of the industrial team, from computing colleagues, to administration, to senior management and beyond.
This programme contains eight taught modules and a final Dissertation/Dissertation by Practice. Four modules are taught per semester; so learners complete eight taught modules over two semesters and then complete a project over a period of twelve weeks. The overall programme is one calendar year long. The learners who start in September, complete taught modules by the following May and complete their projects over the summer, thus completing the entire programme within one calendar year.