Data analytics, the analysis of both large and small data sets, has become a fundamental source of valuable information derived from ever increasing volumes of structured and unstructured data. Data analytics applications cover a variety of organizations and industries, and remains mission critical for businesses as it turns information into an asset for deriving insight and making decisions. This reflects the need for companies to do business more smartly, enabled by business intelligence.
Increased user activity has resulted in significant growth in data, both structured and unstructured. The value of this data is dependent on appropriate analysis of the data, and the subsequent application of analysis results. Consequently, data analytics has become a fundamental element for both private sector and public sector organisations that wish to compete through ever-evolving technology, productivity advancement, and innovation in research and development.
Globally, there is a reported shortage of data analytics talent particularly individuals with the required deep analytical skills. In Ireland, government policy in recent years has consistently identified data analytics as a key growth area with a medium-term goal to become a leading country in Europe for big data and analytics.
The online delivery of the MSc in Applied Data Science and Analytics has attracted students primarily from around Ireland, but also from across Europe and further afield. Lectures are delivered live, using Adobe Connect online classroom environment which facilitates VoIP for lectures and students, screen sharing, web cam, file sharing, breakout rooms for group discussions, whiteboard, question and answer session and other facilities.
This, coupled with lecture recordings and other learning resources being made available through Moodle (our virtual learning environment) provides a truly flexible learning environment for all participants. Modules are assessed through continuous assessment work only. The course will focus on the knowledge and skills to select, apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including implementing novel and emerging techniques. Participants will be kept abreast of current research and state of the art in data science related topics. The two year programme is delivered over four semesters.
The courses are suitable for both entrants to a new discipline that require a broader range of taught modules to familiarize themselves with the skills and knowledge of the discipline and for specialist employees who want to up-skill in their specialist areas and require a narrow range of taught modules and more emphasis on the research skills project of the degree.
With our new degree structure, we seek to be flexible and responsive to industry needs while still maintaining a high standard of academic excellence.
Students will be required to take a minimum of 3 taught modules worth 10 credits each, giving a total of 30 credits. Students then have the option of two different paths to complete the 90 credits required for this masters degree. One option is to take three more taught modules and a 30-credit research project. This path would suit students who are new to the discipline and require more taught modules and a smaller research project.
The other path is to take a 60 credit research project module route. This path would suit students who have a background in the discipline and who wish to dedicate more time to the research element of the masters and develop their research capabilities.
Who Should Apply for the MSc in Computing at ITB?
The MSc in Computing programme is of particular value to holders of a primary degree in computing, IT, or equivalent, working as IT professionals. It is also of value to individuals with a computing degree background who wish to develop their career towards working within a research-oriented environment at a postgraduate level.