Expand+For entry to the Professional Diploma in Data Analytics (LEVEL 9), students must have obtained an undergraduate (NFQ Level 8 ) or masters degree to standard 2:1 in a subject with some quantitative elements.Those with a lesser qualification award and/...

Hide-For entry to the Professional Diploma in Data Analytics (LEVEL 9), students must have obtained an undergraduate (NFQ Level 8 ) or masters degree to standard 2:1 in a subject with some quantitative elements.Those with a lesser qualification award and/or no numerate subject degree, but with substantial industry experience related to the area, or relevant professional qualifications, will also be considered on a case by case basis. A rough guide to the mathematics we expect you to know on entry is available here:

Expand+ProfDip Data Analytics
Graduate Taught (level 9 nfq, credits 20)

Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction with course tutors. This provides flexib...

Hide-ProfDip Data Analytics
Graduate Taught (level 9 nfq, credits 20)

Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction with course tutors. This provides flexibility to students who can learn wherever they like at a pace that suits them. Students will attend a UCD exam centre at the end of each trimester for exams.

For detailed information about the programme see: programme website or email dataanalyticsonline@ucd.ie with any queries.

There is a huge ongoing growth in demand for graduates with these valuable skills in a wide range of industries, and currently a shortage of qualified graduates.
Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction via course tutors through the UCD website.

Who should apply?
Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

Expand+Demonstrate in-depth knowledge of the key skills required by a practicing data analyst, including data collection methods, statistical method development, knowledge and application of machine learning techniques

Ability to present technical materi...

Hide-Demonstrate in-depth knowledge of the key skills required by a practicing data analyst, including data collection methods, statistical method development, knowledge and application of machine learning techniques

Ability to present technical material at a level appropriate for any audience

Proficiency in several data science programming languages including R, python, SAS, and C

The ability to create scientific visualisations to explore, summarise, and interpret complex datasets

Approach problems in an analytical, precise and rigorous way

Model a broad variety of real-world problems in a statistical framework

Expand+Data Analysts are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Some examples of prospective employe...

Hide-Data Analysts are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Some examples of prospective employers include:

ICT companies (e.g., Google, eBay, Meta, Amazon, Paddy Power)
The pharmaceutical industry (e.g., Janssen, MSD, GSK)
The financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte)

Students who perform well on the Professional Diploma may apply to progress to our online MSc Data Analytics