| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
Course Overview
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. I
t 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.
Scholarships available
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.
Entry requirements
Please
click here
to see the entry requirements for this course.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
Prof Michael Madden B.E., Ph.D., M.I.E.I. View Profile
Dr. Attracta Brennan M.Eng.Sc., Ph.D View Profile
Dr Peter Paul Buitelaar PhD.
Senior Lecturer
School of Engineering
& Informatics
NUI Galway
View Profile
Dr Desmond Chambers B. Eng., M.Sc., Ph.D., C.Eng. View Profile
Dr Adrian Clear B.Sc., PhD View Profile
Dr. James Duggan B.E., M.Eng.Sc., Ph.D. View Profile
Dr Frank Glavin BSc; MSc, PhD.
LECTURER BELOW THE BAR
College of Engineering
& Informatics
NUI Galway
View Profile
Dr Josephine Griffith View Profile
DR CONOR HAYES B.A., M.Sc., Ph.D. View Profile
Mr Séamus Hill BA., MSc. View Profile
Dr Enda Howley B.Sc, Ph.D
Senior Lecturer
INFORMATION TECHNOLOGY
SCHOOL OF ENGINEERING
& INFORMATICS
IT BUILDING
View Profile
Dr Karl Mason PhD, M.Sc., B.Sc. View Profile
Dr. John Mc Crae M.Sc., PhD View Profile
Dr James Mc Dermott B.Sc., PhD View Profile
Dr Matthias Nickles BSc, MSc, PhD View Profile
Mr. Colm O'Riordan B.Sc, M.Sc, View Profile
Prof David O'Sullivan B.Sc., Dip.Mech.Eng., M.E.D., Ph.D. View Profile
Dr. Sam Redfern B.A., M.Sc., Ph.D. View Profile
Dr. Michael Schukat M.SC, PH.D View Profile
Dr Finlay Smith Ph.D View Profile
Mr Enda Barrett BSc View Profile
Dr Patrick Mannion B.Eng, Phd
Lecturer in Computer Science
IT Building
NUI Galway
View Profile
Dr IHSAN ULLAH M.Sc., PhD
Lecturer Above The Bar
IT Building
View Profile
Program Outline
Course Outline
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.
Why Choose This Course?
Career Opportunities
AI skills will be required in every industry and could create—according to a recent Forbes report—globally up to 22 million new jobs by 2022. 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 their recent report concludes that artificial intelligence, robotics and smart automation technology could contribute up to $15 trillion to global GDP by 2030.
Within the AI space, there is a diversity of jobs requiring various levels of expertise:
About University of Galway
Founded in 1845, we've been inspiring students for 178 years. University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching.
University of Galway
Overview:
University of Galway, formerly known as National University of Ireland, Galway (NUI Galway / NUIG), is a research-led institution with a strong commitment to high-quality teaching. Established in 1845, it has earned international recognition for its academic excellence and vibrant research community. The university is known for its commitment to sustainability, ranking #1 in Ireland for sustainable development in the Times Higher Education World Rankings.
Services Offered:
The university offers a wide range of services to students, including:
Accommodation Advisory Service:
Assists students in finding suitable accommodation.Campus Activities:
Provides opportunities for students to engage in various activities, including sports, clubs, and societies.Student Support:
Offers a variety of support services, such as academic advising, career counseling, and mental health support.Study Abroad:
Facilitates international study opportunities for students.International Office:
Provides support and guidance to international students.Mature Students:
Offers specific support and resources for mature students.Students with Disabilities:
Provides accommodations and support for students with disabilities.Student Ambassador Programme:
Connects students with prospective students and provides opportunities for leadership development.For Parents and Guardians:
Offers information and resources for parents and guardians of students.Access Student Information:
Provides access to student information systems and resources.Life in Galway:
Offers information and resources about living in Galway city.Student Life and Campus Experience:
University of Galway offers a vibrant and diverse campus experience. Students can expect:
- A welcoming and supportive community.
- A wide range of extracurricular activities and opportunities for personal growth.
- A beautiful campus located in the heart of Galway city.
- Access to state-of-the-art facilities and resources.
- A strong sense of community and belonging.
Key Reasons to Study There:
Commitment to Sustainability:
University of Galway is a leader in sustainability, offering a learning environment that cares for the planet.Research Excellence:
The university boasts a vibrant research community tackling some of the most pressing challenges of our time.Global Recognition:
University of Galway is internationally recognized for its academic excellence and research.Beautiful Campus:
The university is located on a beautiful campus in the heart of Galway city.Vibrant City:
Galway is a vibrant and welcoming city with a rich culture and history.Academic Programs:
University of Galway offers a wide range of undergraduate and postgraduate programs across various disciplines, including:
Arts, Social Sciences, & Celtic Studies
Business, Public Policy and Law
Medicine, Nursing & Health Sciences
Science and Engineering
The university is particularly strong in areas such as:
Medicine
Engineering
Business
Arts and Humanities
Celtic Studies
Other:
- The university has a strong focus on community engagement and outreach.
- It has a large and active alumni network.
- The university is a member of the National University of Ireland (NUI).
The provided context does not include information about the following sections:
Fees & Funding:
Modes of Study:
Open Days:
Scholarships:
Prior qualification
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 ourHDip 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.