Ireland

Data Science entry scores in Ireland (2026): cut-off marks by university

We have official entry scores for 7 programmes (scale from 0 to 625, higher is better). In the latest lists the score of the last admitted student ranged from 290 to 489. The most selective programme was at Dublin City University, the most accessible at National College of Ireland.

Always check current information on the official website of the university before you apply.

ProgrammeUniversityCity202620252024
Data Science and Artificial IntelligenceDublin City UniversityDublin489500499
Data Science and Artificial IntelligenceUniversity College CorkCork456469427
Data Science and Artificial IntelligenceTechnological University DublinDublin424434403
Data ScienceMaynooth UniversityMaynooth413425423
Business AnalyticsTechnological University DublinDublin338338338
Computing in Data Science and AIDundalk Institute of TechnologyDundalk308—325
Data ScienceNational College of IrelandDublin—290341

The score is the result of the last admitted student, so it changes every year.

How admission works in Ireland

You apply for full-time undergraduate courses through the Central Applications Office (CAO): for entry in September 2027 applications open on 5 November 2026, the normal closing date is 1 February 2027 (late applications until 1 May 2027), and course choices can be changed until 1 July 2027. Places are offered by points: the best six Leaving Certificate results count (at most 625 points), other EU/EFTA/UK school-leaving results are converted to points, and the minimum subject requirements of each course must be met. Some courses add a test, interview, portfolio or audition, undergraduate medicine combines points with the HPAT test, and places on tied points may be decided by random selection. Applicants who live or have lived outside the EU may have to apply directly to the institution instead of through CAO.

See also: All Data Science programmes in Ireland · Entry scores in Ireland · Study in Ireland

Sources

How the figures are collected and calculated: Data and sources.