Professional Diploma in Data Analytics

Award: NFQ Level 9 Major Award

The UL @ Work Professional Diploma in Data Analytics online will provide an exciting opportunity for work-based learners to upskill in the rapidly growing area of data analytics. This part-time postgraduate course in data analytics will provide professional learners with a fundamental grounding in the key skills of data analytics including data interrogation, visualisation and predictive analytics and how to use these to obtain valuable insight from big datasets. This level 9 professional diploma counts as 30 credits toward a Masters in Digital Futures.

On completion of the programme, participants will learn:

1. An understanding of how data-driven models can improve your ability to make decisions in a fast-paced and uncertain world, and the ability to use modelling to predict future trends.
2. R-Shiny data visualisations, dashboarding and reporting skills, with which to clearly communicate your findings and business needs.
3. Real life examples as proof of your ability to analyse, summarise, visualise, and report on insights extracted from a dataset.

The programme will be delivered fully online. Students will experience a supportive and dynamic learning environment in which there will be an emphasis on peer learning, team learning, critical reflection and feedback.

Entry Requirements:

Applicants are normally expected to hold a primary honours degree in a cognate discipline, (minimum H2.2), or equivalent and have at least 5 years of relevant industrial experience.

Candidates who do not meet the minimum entry criteria may be considered in accordance with the University’s policy on the Recognition of Prior Learning.

These candidates will be required to submit a portfolio to demonstrate their technical and/or management experience.

Alternative Entry Route applicants will be required to undertake an interview and satisfy the course admission team that they have the experience, motivation and ability to complete and benefit from this course.

Note: No prior programming experience is necessary to succeed on this programme.