Computing (General Entry)Ríomhaireacht (Iontráil Ghinearálta)

The Bachelor of Science in Computing with options in Machine Learning and Artificial Intelligence, Software Development, Cloud Computing represents the future of enterprise computing education through a new and flexible approach to preparing students for dynamic technology careers. Offered as a four-year honours degree by the School of Enterprise Computing and Digital Transformation, the programme moves beyond traditional computing education by removing rigid specialisation barriers. Instead, it allows students to explore a wide range of digital fields before focusing on their chosen area.

Delivered through a Major–Minor structure, the degree offers three key specialisations;

• Software Development
• Machine Learning and Artificial Intelligence
• Cloud Computing

This three year course gives a great grounding in the essentials of computing leading to rewarding careers. Employment prospects are excellent with a shortage of computing graduates currently and predicted both in Ireland and internationally. We use a common Year 1 where you develop essential skills and get to understand your particular strengths.

The three Pillars of Modern Computing: The programme's three specialised minors represent the most dynamic and in-demand areas of contemporary computing:

• Cloud Computing addresses the fundamental shift in how we think about infrastructure and scalability. As organizations worldwide migrate to cloud-first architectures, students gain hands-on experience with platforms like AWS, Azure, and Google Cloud, learning not just the technical implementation but the strategic thinking behind distributed systems, microservices, and DevOps practices.
  
  
• Software Development goes beyond traditional programming to encompass modern development methodologies, user experience design, and full-stack capabilities. Students explore everything from mobile app development to web technologies, learning to build solutions that are both technically sound and user-centered.
  
  
• Artificial Intelligence opens doors to the technology that's reshaping every industry. From machine learning algorithms to natural language processing, students engage with the tools and techniques that are automating processes, generating insights, and creating entirely new categories of applications.

At the heart of the programme is a belief in the power of exploration and interdisciplinary learning. Students are encouraged to connect different domains discovering, for example, how cloud technologies can enhance AI applications or how software development skills can be applied to data-driven systems. This mirrors the real-world technology landscape, where innovation often emerges at the intersection of multiple disciplines. Through this model, students develop the ability to think strategically across boundaries, gaining both depth in their chosen specialisation and breadth in understanding the wider technology ecosystem.

Designed in close collaboration with industry, the programme equips graduates with adaptive expertise the capacity to apply knowledge creatively, solve complex problems, and continuously learn as technology evolves. Practical learning is central, with real-world projects, industry mentorships, industry 6 month internships, and collaborative assignments helping students build strong professional portfolios.

By combining technical skill, critical thinking, and flexibility, the programme prepares graduates not just for today’s opportunities, but for the technological challenges and innovations of the future empowering them to become the architects, innovators, and ethical leaders of a digital world.

Work Placement

In third year, you will complete a 6–8 month work placement as part of your degree. This is an exciting opportunity to gain real industry experience, apply what you have learned in class, and build valuable professional connections.

Placement duration: 6–8 months (mid-January to up to the end of August, Year 3 – Semester 6)

Typical roles: Software Development, Data Analysis, Software Testing, Web Development, Service Desk, Application Support, Technical Support, Cloud Computing, Infrastructure, Networking, IT Security, and Data Analysis.

Study Abroad Opportunities

The six month placement period can be spent in partner colleges and linked enterprises across France, Spain, Austria, Germany, Mexico and more. TU Dublin is a member of European University of Technology (EUT+) which is an alliance of eight technological universities across Europe working together to build a unified, innovative European campus. It brings together institutions from Ireland, France, Germany, Spain, Cyprus, Bulgaria, Romania, and Latvia with a shared vision of advancing technology education, research, and innovation. EUT+ promotes collaboration through joint programmes, staff and student mobility, and cross-border research initiatives that address real-world challenges in sustainability, digitalisation, and societal development. TU Dublin is a member of the European University of Technology (EUT+) 

Leaving Certificate Requirements

QQI/FET Requirements

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.

Graduate Job Titles:

• Data Analyst
• AI Engineer
• Software Developer
• Full Stack Developer
• Software Test Automation
• ICT Specialist
• Cloud Engineer
• System Administrator
• Cyber Security Specialist
• Technology Consultant
• Solution Architect
• Operations Specialist
• Network Manager
• IT Automation Specialist

Graduate Employers:

• Amazon AWS
• SAP
• Workday
• Microsoft Ireland
• Bank of America
• Fidelity Investments
• Accenture
• HSE
• Department of Agriculture
• Version1
• Mastercard
• Bearing Point
• Ergo
• Typetec
• IBM
• WorkHuman
• Tallaght University Hospital

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 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 2026 are now open and will close in June 2026.

I chose TU Dublin due to the possibility to enroll on a Level 7 course without having to commit to a Level 8 straight away. Almost all lectures are approachable and available outside their own lectures; the same applies to the department staff. Lots of hands-on practice in labs and the possibility to do work placement in 3rd year.

The number of students per class is not as big as other universities, which helps proximity with lecturers as well. Every year a lecturer is assigned as the year's tutor, and that is very useful to have a point of contact. CA schedule given at the beginning of the semester helps me to organise and prioritize the studies. Don't be afraid to try because even if you struggle, there will be lots of people willing to help you get through it. I feel that lecturers are genuinely interested in what's best for students.

Lara Chiappetta Lagioia, Student TU756

An add-on one year BSc. Honours in Computing is available. Specialisations across Software Development, Artificial Intelligence & Machine Learning, and Cloud Computing are possible.