Part Time option suitable for:

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

This programme is aimed at students who wish to develop a career or further studies in data analytics and related disciplines. We encourage our students to have a passion for analysing large data sets, and to be autonomous learners who have a creative and critical approach to data analytics. We aim to provide a learning environment that will encourage students to constructively solve data problems in real­-world situations, using a variety of software, and to tailor such solutions to individual data sets as they arise.

Online learning is a key feature of the programme, and we provide online videos and discussion boards, always backed-­up by individual feedback form lecturers and tutors. At the most advanced levels of the programme, students are encouraged and expected to use and apply cutting-edge techniques from the latest research in their work. As a result of this approach to learning, the modules are assessed using a variety of tools including online assessment, individual project work to examine software-­based skills, and written examinations to test mathematical ability.

• 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

View All Modules Here

The Online Professional Diploma in Data Analytics covers four 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.

ProfDip Data Analytics (F057) Part Time
EU/NONEU    fee per credit - € 199.6

***Fees are subject to change

These programmes are paid per credit. Further information is available on the UCD Fees website.

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: Self Assessment Quiz

Graduate Testimonial

Fergal Kelly, Data Analyst in the Central Bank of Ireland
I wanted to re-skill so that I could move to a different role and the content and online aspect of the masters was perfect for me. I wouldn’t have been able to commit to going into a university on set nights for 3 years. I also would like to commend all the lecturers and tutors who always responded on time to questions. I’ve been able to make a contribution to my new team pretty much straight away.

F084 - MSc in Data Analytics (This Professional Diploma is identical in trimesters one and two to the MSc, at which point the Professional Diploma ends and the MSc continues for a further 7 trimesters)

F140 - Mathematics for Data Analytics and Statistics  (This programme covers linear algebra and calculus which will equip students without the necessary mathematical background to complete our later postgraduate programmes in data analytics and statistics)

The following entry routes are available:

* Courses will remain open until such time as all places have been filled, therefore early application is advised