About PDip (Data Analytics and Visualisation), PDip - at University of Galway

This course is designed to reskill and upskill graduates to prepare them to take up the increasing opportunities to work as data analysts, who are in demand across multiple sectors, including Financial, Government, Manufacturing, Food, Health and Media.

Course detail is at: https://springboardcourses.ie/details/11023.

The course emphasises the development of strong theoretical and applied foundations, and builds on our existing strengths in Data Science and Analytics in the School of Computer Science and the Insight Institute, and our experience in running a successful Masters in Data Analytics.

The programme has a number of core elements:

On completion of the programme, graduates will be eligible to take our highly successful MSc Data Analytics or MSc Artificial Intelligence, providing a deeper and more specialised training in advanced Data Science or Artificial Intelligence topics such as Machine Learning. Transition to these programmes is contingent on spaces and achieving a minimum of a high 2:1 in the Postgraduate Diploma at the discretion of the programme director.

This programme is funded by the Higher Education Authority Human Capital Initiative, Pillar 1*, Graduate Conversion initiative. For applications who are in employment the HEA will fund 90% of the course fee, with the balance to be provided by the application or her/his employer. Recent graduates will also pay 10% of the cost of the course. Apply now, for funded positions, via Springboard.

Applications can also be made (non-funded positions) through the University of Galway Postgraduate Admissions page.

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You may also be interested in one of our other School of Computer Science postgraduate programmes.

A range of assessment methods are integrated and applied through the programme. These include continuous assessment, projects, reports presentations and case studies.

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Entry requirements for this course

Contact University of Galway to find course entry requirements.

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