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At University of Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Computer Science—Artificial Intelligence (MSc)
Artificial Intelligence is one the most exciting and fastest growing areas of the ICT industry and research. It has the potential to positively transform every aspect of all our lives, from Smart Cities and Autonomous Vehicles, through to improved healthcare services and low-carbon economies. Artificial Intelligence has the capacity to provide intelligent solutions that can help us to tackle many today’s greatest societal challenges.
Become part of this exciting development by joining our one-year MSc in Computer Science—Artificial Intelligence.
This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, but expects students to be already at a very high technical standard with regard to their Computer Science education.
The full-time MSc in Artificial Intelligence is taught by renowned, interdisciplinary University of Galway experts in the field. It covers over two semesters many complementary areas of Artificial Intelligence, including Deep Learning, Natural Language Processing, Optimisation, and Reinforcement Learning.
Furthermore, students reinforce their newly gained skills in a 30-credit project that is completed during the summer. Here students may have the opportunity to collaborate with a research group or with an industry partner.
The School of Computer Science Advanced MSc Scholarship (Artificial Intelligence, Data Analytics)
University of Galway, School of Computer Science is offering one scholarship for the MSc in Computer Science (Artificial Intelligence, Data Analytics) commencing September 2023; this scholarship, up to the full value of the EU tuition fee is awarded to the highest ranked graduate of the BSc Computer Science & IT undergraduate programme (GY350) among those who apply for the scholarship. This is open to all current GY350 final year students due to graduate in 2023, and all previous graduates of the programme. Please note that to be considered for this merit-based scholarship, applicants must first apply and be accepted to their chosen programme. They will subsequently be required to complete a separate scholarship application form.
Find out about our other Postgraduate Scholarships here.
You may also be interested in one of our other Computer Science and Software Engineering postgraduate programmes.
Please click here to see the entry requirements for this course.
Applications and Selections
Applications are made online via the University of Galway Postgraduate Applications System.
Please visit Supporting Documents website for detail on what you need to include with your online application.
Who Teaches this Course
In Academic Year 2022/23:
- Professor Paul Buitelaar
- Dr Brian Deegan
- Professor James Duggan
- Dr Heike Felzmann
- Dr Conor Hayes
- Dr Enda Howley
- Professor Michael Madden
- Dr Patrick Mannion
- Dr James McDermott
- Dr John McCrae
- Dr Matthias Nickles
- Dr Colm O'Riordan
- Dr Ihsan Ullah
Requirements and Assessment
This MSc is targeted at high-performing graduates of Level 8 computer science programmes, or Level 8 science/engineering programmes that offer sufficient training in computing.
The minimum academic requirement for entry to the programme is a First Class Honours (or equivalent) from a recognised university or third-level college. However, a good Second Class Honours (or equivalent) can be deemed sufficient on the recommendation of the Programme Director.
English language proficiency
Overall, entry to the MSc Artificial Intelligence requires a minimum IELTS score of 6.5 overall, 6.5 in Writing and no less than 6.0 in any other band. TOEFL: Overall 88, Listening 12–19, Speaking 18–19, Writing 24–26, Reading 13–18. PTE: Overall 61, Writing 61, all other bands no less than 50.
University of Galway Conversion Programme Pathway
Students who have successfully completed one year of our MSc/HDip Software Design & Development programme or our HDip Data Analytics and Visualisation programme, and who have achieved a First Class Honours result (1.1) or a high 2.1 overall average in their first year’s study respectively their degree result, are eligible to apply for entry to this programme. This is an ideal route for any applicants who feel they are not likely to reach the entry criteria of the MSc Artificial Intelligence programme through direct entry. Transition to the MSc Artificial Intelligence is at the discretion of the MSc AI programme director and contingent on available places.
1 year, full-time
Next start date
A Level Grades ()
QQI/FET FETAC Entry Routes
Please view the offer rounds website.
Mode of study
The MSc is a 1 year, fulltime, 90-ECTS course with three main elements: core modules (45 ECTS), optional (elective) modules (15 ECTS), and a substantial capstone thesis project (30 ECTS).
Core modules include: Programming and Tools for AI; Introduction to Natural Language Processing, Machine Learning; Deep Learning; Research Topics in AI; Information Retrieval; Artificial Intelligence and Ethics; Agents, Multi-Agent Systems & Reinforcement Learning.
Optional modules include: Advanced Topics in Natural Language Processing; Knowledge Representation; Optimisation; Knowledge Graphs; System Modelling & Simulation; Tools and Techniques for Large Scale Data Analytics; Web & Network Science.
From Semester 2 onwards, students work on individual projects and submit them in August. Projects may have a research or applied research focus.
Curriculum information relates to the current academic year (in most cases). Course and module offerings and details may be subject to change.
Why Choose This Course?
AI skills will be required in every industry and AI is projected—according to recent World Economic Forum research—to create globally around 97 million new jobs. The World Economic Forum estimates that by 2025 machines are expected to perform more current work tasks than humans compared to 71% being performed by humans today, and a PwC-report concludes that artificial intelligence, robotics and smart automation technology could contribute up to $15.7 trillion to the global GDP by 2030.
Within the AI space, there is a diversity of jobs requiring various levels of expertise:
- More foundational jobs include data architects, software engineers and machine and deep learning engineers.
- Advanced roles include specialist research engineers, including those that specialise in computer vision, language and speech, and AI architects.
Who’s Suited to This Course
Transferable Skills Employers Value
Related Student Organisations
Fees: Student levy
Fees: Non EU
Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €4,000 towards your tuition (2023/24). You will be liable for the remainder of the total fee. An F5 grant is where SUSI will pay tuition up to a maximum of €6,270. SUSI will not cover the student levy of €140.
Postgraduate fee breakdown = Tuition (EU or NON EU) + Student levy as outlined above.
Note to non-EU students: learn about the 24-month Stayback Visa here.
Find out More
MSc (AI) Programme Administrator,
School of Computer Science,
College of Science and Engineering
University of Galway.
T: +353 91 493 836
Swati Deshpande | MSc Artificial Intelligence Graduate
NUI Galway is one of the best colleges I have studied in! Teachers are very approachable and friendly. Highlights of my AI program were the depths of modules; in Semester 1, the programme taught the basics of AI along with its practical applications, in Semester 2, we were taught more advanced topics in AI and the course covered a wide range of concepts. Assignments helped us get hands on experience of different tools used currently in the AI industry. In Semester 3 we carried out research on a topic of our interest. Guest talks were organized from different IT companies like Genesys and Qualcomm that gave us an industry perspective to Artificial Intelligence. All these experiences have helped me learn new things in the AI industry and made me a better engineer. The university constantly encourages students to participate in academic as well as non-academic activities. I was part of the International Student’s Gaelic football team which showed me different cultures of Ireland. Galway is such a calm city and the best place to get your studies done. I would not trade this journey for anything in the world.