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 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.
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Location:
College of Sciences and Health, DIT Kevin Street, Dublin 8.
Qualification Awarded: MSc (Computing - Data Analytics) or PG Dip (60 ECTS credits) or PG Cert (30 ECTS credits) Level 9