Course Title: Bachelor of Science (Honours) Data Science and Artificial Intelligence
The Bachelor of Science in Data Science and AI is a state of the art course that aims to provide graduates with leading-edge skills in data science and artificial intelligence (AI) technologies, as well as fundamental skills of computer science. Graduates will be equipped for employment in a wide variety of areas within both the technology sector and the wider area business sector, from start-ups, SMEs to larger corporates. This is a four year Honours Degree course, which also allows exit points at Higher Certificate (2 Years) or Ordinary Degree level (3 Years).
Data science focuses on the process of extracting, cleaning, and analyzing data to gain insights. Artificial Intelligence (AI) involves creating intelligent systems that can carry out tasks autonomously. AI is heavily data-driven, therefore that data science and artificial intelligence are heavily intertwined domains.
Fundamental computer science skills (including programming, software engineering, algorithm design, web development and IT hardware) are embedded into the first two years of the course. The data science and AI context and specialism begins in Year 1, deepening and extending through the following three years.
An option to undertake work experience during the course, combined with the use of case studies and guest lectures in domain focused modules, will aid students to develop their work readiness. The completion of the capstone research project modules will produce graduates that will be self-reliant, problem-solving, innovative and self-motivating.
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
QQI/FET Award Required |
Additional Requirements |
---|---|
Level 5: 1 OF THE FOLLOWING AWARDS: |
|
|
5 Distinctions which must include:
|
|
5 Distinctions which must include two of:
|
|
5 Distinctions which must include:
|
Level 6 | |
|
120 credits in total, Level 6 |
In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at www.tudublin.ie/qqi
Mature Applicants
Applications from mature students (23+) are welcome. Further details at www.tudublin.ie/mature
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
Semester 1
- Communications [Mandatory]
- Introduction to Computational Thinking [Mandatory]
- IT Fundamentals [Mandatory]
- Programming [Mandatory]
- Sustainable Data Science and Artificial Intelligence [Mandatory]
- Web Development 1 [Mandatory]
Semester 2
Semester 1
- Databases 1 [Mandatory]
- Web Development 2 [Mandatory]
- Analytics for Decision Making [Mandatory]
- Human Centred Design [Mandatory]
- Data-centric programming [Mandatory]
- Mathematics for Data Science [Mandatory]
Semester 2
Semester 1
- Knowledge-driven Artificial Intelligence [Mandatory]
- Databases 2 [Mandatory]
- Digital ethics and Legal Issues [Mandatory]
- Machine Learning [Mandatory]
- Programming for Big Data [Mandatory]
Semester 2
- Business & Enterprise [Elective]
- Cyrptography & Cyber Security [Elective]
- Games Logic & Design [Elective]
- Global Classroom [Elective]
- Individual Project [Elective]
- Introduction to DevOps [Elective]
- Mobile Robotics [Elective]
- Programming for Smart Objects [Elective]
- Software Testing [Elective]
- Study Abroad 5 [Elective]
- Study Abroad 6 [Elective]
- Study Abroad 7 [Elective]
- Study Abroad 8 [Elective]
- Team Project [Elective]
- Universal Design & Assisitive Technology [Elective]
- Work Placement [Elective]
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, 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 have not attended 5 years primary/secondary education in an EU country.
- You hold EU Nationality, but you have not lived in an EU country for 3 of the last 5 years
Note: Applicants presenting with the Irish Leaving Certificate, regardless of nationality, should apply through the CAO.
For full details on How to Apply, Visa & Immigration Information, Accommodation Information and International Fees, please visit our International Hub.
Application Dates for Non-EU Applicants
Applications for undergraduate courses commencing September 2025 are now closed.
Applications for undergraduate courses commencing in September 2026 will open in November 2025. Applications 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.