Data Analytics
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
Subjects taught
Stage 1 - Core
Inference for Data Analytics (online)STAT30280
Introduction to Data Analytics (Online)STAT40720
Data Programming with R (Online)STAT40730
Statistical Machine Learning (online)STAT40750
Entry requirements
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.
Application dates
How to apply?
The following entry routes are available:
Professional Diploma Data Analytics PT (F057)
Duration 1 Years
Attend Part Time
Deadline Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised
Duration
1 year part-time online
Enrolment dates
NEXT INTAKE: 2024/2025 September.
Post Course Info
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