TU Dublin students laughing outdoors on Grangegorman campus

Data Science and Artificial Intelligence Eolaíocht Sonraí agus Intleacht Shaorga

Course Title: Bachelor of Science (Honours) Data Science and Artificial Intelligence

TU Code
TU850
CAO Points Range 2025
434-555
Award
Bachelor of Science (Honours)
Location
Grangegorman
Mode of Delivery
Full Time
NFQ Level
Level 8
Award Type
Major
ECTS Credits
240
Number of Places
40
Virtual Tour

Grangegorman

Fees
Course Fees
Fees (EU) €3,000 Per Year
Fees (Non-EU) €13,500 Per Year

The BSc (Honours) in Data Science and Artificial Intelligence is a future-focused computing degree designed for a world shaped by data and intelligent technologies. At its core, this is a computer science degree. You will build strong foundations in programming, algorithms, software development, databases and systems architecture. These core skills are what allow technologies to evolve and why computer science remains one of the most adaptable and resilient degrees you can choose.

On top of this foundation, you will specialise in data science and AI. You will learn how to analyse complex datasets, design machine learning models, develop intelligent applications and understand how AI systems are built, tested and deployed responsibly. Topics include machine learning, deep learning, data visualisation, statistics, big data technologies and ethical AI.

Throughout the course, you will work on practical projects that mirror real industry challenges. You will develop problem-solving ability, critical thinking and teamwork skills that employers actively seek. An optional work placement gives you valuable professional experience and helps you build connections in Ireland’s thriving technology sector.

AI is transforming industries, but behind every breakthrough is solid computer science. This degree ensures you are not just trained in today’s tools, but equipped to adapt to whatever comes next. Graduates pursue careers in data science, machine learning engineering, AI development, software engineering, analytics and research, or continue to postgraduate study. If you are curious about how technology works, interested in shaping the future of AI, and want a degree that keeps your career options open, this programme offers a strong and forward-looking pathway.

Study Abroad Opportunities

Students can apply to participate in a study abroad option for the second half of third year as part of your experiential learning.

Work Placement

Students can opt to participate in our highly successful work placement programme. The School of Computer Science maintains close liaisons with various industry partners, including both multi-nationals as well as home-grown companies. Alternatively, you can work with community organisations on our innovative service-learning module, whereby you take responsibility for interesting ICT projects in the community.

Leaving Certificate Requirements

Minimum Number of

Subjects

Higher

6

2 H5's

Minimum Grade in

Maths

English OR Irish

O3/H7

O6/H7

QQI/FET Requirements

Essential Major Award 

Essential Component Award

Any Full Level 5 or 6 Award 
Minimum of 5 distinctions. Must include: Distinction in 5N0554 or 5N0556 or 5S2246 or 5N18396 or 6N3395 or O3/H7 LCE Maths.

In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at TU Dublin QQI FET Applicants.

Mature Applicants

Applications from mature students (23+) are welcome. Further details at TU Dublin Mature Applicants.

English Language Requirements

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6.0 overall (or equivalent).

  • Data Analyst
  • Data Scientist
  • AI/Data Science Researcher
  • Machine Learning Engineer
  • Data Architect
  • Business Analyst
  • Database Administrator
  • Software Developer/Software Engineer
  • User Interface Designer
  • AI-Based Product Design
  • Roles in Tech Innovation Start-ups

Click on the link below to view an indicative timetable for this course. Timetables are subject to change and up to date timetables will be provided to students on commencement.

View Sample Timetable

Irish/EU Applicants

Applications from all Irish/EU citizens are made through the Central Applications Office (CAO).

Note: Applicants presenting with the Irish Leaving Certificate or a QQI FET award, regardless of nationality, should apply through the CAO.

The standard closing date to apply is February 1st. Late applications will close on May 1st. For restricted courses, the closing date is February 1st. Please see important dates on the CAO website. For a detailed guide on how to apply, please visit our CAO Hub.

International Students (Non-EU) 

Applications from international students are welcome for this programme. If you meet any of the following criteria, applications should be made directly to TU Dublin via the “Apply Now – Non-EU” link on each programme webpage.

  • You hold Non-EU Nationality, and you live in a Non-EU country.
  • You hold EU Nationality, but you have not lived in an EU country for 3 of the last 5 years AND you have not attended 5 years primary/secondary education in an EU country.
  • You require a Student Visa to study in Ireland

Note: Applicants presenting with the Irish Leaving Certificate or a QQI FET award, regardless of nationality, should apply through the CAO.

For full details on How to ApplyVisa & Immigration InformationAccommodation Information and International Fees, please visit our International Hub.

Application Dates for Non-EU Applicants

Applications for undergraduate courses commencing September 2026 are now open and will close in June 2026.

Advanced Entry applications are accepted to this course. For further information on how to make an Advanced Entry application, please visit our CAO Hub. A full list of courses open for Advanced Entry are listed on the CAO website.

To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:

  • To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.

Upon graduation you will be qualified to pursue postgraduate studies to MSc, MPhil and PhD levels at TU Dublin or elsewhere.