Master of Science in Data Analytics
This Master of Science in Data Analytics has been designed to meet the growing need for graduates with data science skills in the light of increasing applications of new and existing technologies and techniques such as statistical analysis, machine learning and data visualisation across many industries throughout the global economy. Given the rapid growth in internet data usage, the shift to cloud computing, and the rate at which Irish businesses integrate data and analytics into their daily operations, Data Analytics is an identifiable discipline with a breadth and depth of content that encompasses many of the subfields (e.g. software development, machine learning, data visualisation that form the modern AI ecosystem). Semester one (FT) lays the groundwork for the programme and encompasses modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of programming skills to gather, analyse, process and visualise data, statistics for data analytics and the application of pattern recognition in machine learning. Learners develop advanced applied skills in essential areas such as programming, statistical tools and techniques, techniques for pattern recognition on complex data sets, while also offering theoretical knowledge of cognitive science. Semester two (FT) builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two modules offer advanced and applied skills in topics such as data and network mining, databases and data storage, graph, data visualisation including foundations in linguistics, statistical analysis and applications. Semester two also comprises an Applied Research Methods module, which focuses on research and enquiry skills. This module will inform learners’ Applied Research Project in Semester three (FT). In addition, the programme aims to incorporate advanced transversal skills in each module for the professional development of learners to enhance their employability options. This will enable the learner to integrate seamlessly into an organisation by addressing skills such as leadership, problem solving, teamwork, time management and academic writing that are essential for a Level 9 graduate. It is a 1-year full-time, 18 months part-time programme with five 10 ECTS and two 5 ECTS taught modules, and a 30 ECTS Applied Research Project.
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Centres offering Master of Science in Data Analytics
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