Data Analytics

University College Dublin


Course Name Data Analytics
Course Provider University College Dublin
Course Code F057
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Professional Diploma National University of Ireland None
Apply To Course provider
Attendance Options Part time
Location (Districts) Belfield
Qualification Letters Prof Dip
Enrolment and Start Dates Comment Next Intake: 2021/2022 September.
Application Date How to apply?
The following entry routes are available:

Professional Diploma Data Analytics PT (F057)

Rolling *

* Courses will remain open until such time as all places have been filled, therefore early application is advised.
Application Weblink Web Page - Click Here
Duration 1 year part-time online.
Course Fee ProfDip Data Analytics (F057) Part Time
EU/NONEU fee per credit - €182.8

***Fees are subject to change

Tuition fee information is available on the UCD Fees website.

Link to Course Fee Web Page - Click Here
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.
Course Content

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

The MSc and Professional Diploma in Data Analytics from the UCD School of Mathematics and Statistics will help you to analyse and understand the large data sets that are being creat...

Subjects Taught The Online Professional Diploma in Data Analytics covers 4 5-credit modules. These modules are designed to introduce you to statistical and mathematical concepts in Data Analytics and Statistical Machine Learning, and to get you started on programming with data.

Stage 1 - Core
Adv Data Analytics (online) STAT30280
Introduction to Data Analytics (Online) STAT40720
Data Programming with R (Online) STAT40730
Statistical Machine Learning (online) STAT40750
Number of Credits 20
Careers or Further Progression

Expand+Careers & Employability
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. Prospective...

Further Enquiries Contact Number: +353 (0)1 716 2452
Course Web Page Web Page - Click Here