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 NUI Galway experts in the field. It covers over two semesters many complementary areas of Artificial Intelligence, including Meta-Heuristic Optimisation, Deep Learning, Autonomous Agents and Multi-Agent Systems. 

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.

Applications and Selections

Applications are made online via the NUI Galway Postgraduate Applications System

Your online application shall include: 

  • A personal statement outlining:
    • A summary of your primary degree and its relevance for a successful completion of this programme. We strongly encourage an evidence-based approach to highlighting your academic accomplishments.
    • A summary of your previous capstone projects (e.g. undergraduate final year projects) including an outline of your exact contribution to these. We strongly encourage an evidence-based approach to outlining your existing technical skills and experience.
  • Your CV
  • University Degree Transcripts
  • Two references
  • IELTS/TOEFL certificate—only if English is not your mother tongue 

What is not required (please do not submit these):

  • Secondary school certificates
  • Training certificates
  • Membership certificates

Who Teaches this Course

Professor Michael Madden

Dr Enda Barrett

Dr Attracta Brennan

Dr Paul Buitelaar

Dr Des Chambers

Dr Jim Duggan

Dr Frank Glavin

Dr Josephine Griffith

Dr Conor Hayes

Dr Seamus Hill

Dr Enda Howley

Dr Eddie Jones

Dr John McCrae

Dr James McDermott

Dr Hugh Melvin

Dr Owen Molloy

Dr Conn Mulvihill

Dr Matthias Nickles

Dr Colm O'Riordan

Dr David O'Sullivan

Dr Sam Redfern

Dr Heike Schmidt-Felzmann

Dr Michael Schukat

Dr Finlay Smith

Karen Young

Requirements and Assessment

Key Facts

Entry Requirements

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 in Computer Science—Artificial Intelligence requires a minimum IELTS score of 6.5, with no less than 6.5 in the writing ability category and no less than 6.0 in the other categories.

Additional Requirements


12 months, full-time

Next start date

September 2019

A Level Grades ()

Average intake


Closing Date

 Please view the offer rounds website.

NFQ level

Mode of study

ECTS weighting




Course code


Course Outline

The MSc in Computer Science—Artificial Intelligence is a one-year 90-ECTS course with three main elements:

  • foundational modules (35 ECTS)
  • advanced modules (25 ECTS), and
  • a substantial capstone project (30 ECTS).

Foundational modules include: Machine Learning and Deep Learning; Natural Language Processing; Information Retrieval; Meta-Heuristic Optimisation; Ethics in Artificial Intelligence; Autonomous Agents and Multi-Agent Systems. 

Advanced modules include: Programming and Tools for AI; Knowledge Representation & Statistical Relational Learning; Data Visualisation; Programming for Data Analytics; Web & Network Science; Embedded Image Processing; Tools and Techniques for Large Scale Data Analytics; Research Topics in AI. 

From Semester II onwards, students work on individual projects and submit them in August. Projects may have a research or applied focus.

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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:

  • 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

Learning Outcomes


Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€7,215 p.a. 2019/20

Fees: Tuition

€6,991 p.a. 2019/20

Fees: Student levy

€224 p.a. 2019/20

Fees: Non EU

€17,750 p.a. 2019/20

Find out More

MSc (AI) Programme Administrator,
Discipline of Information Technology,
College of Engineering and Informatics,
NUI Galway.
T: +353 91 493 836


  • Postgraduate Taught Prospectus 2019

    Postgraduate Taught Prospectus 2019 PDF (12.6 MB)

  • AI brochure 2019

    AI brochure 2019 PDF (680kb)