Course Overview

Artificial Intelligence (AI) has been at the forefront of computer science research for over 50 years. In recent years a confluence of breakthroughs in hardware capability and insights into algorithm design have made the early promise of intelligent machines a reality. AI is one of the fastest growing areas of 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.

This is a distinctive programme taught by an internationally renowned, interdisciplinary team of NUI Galway experts in the field, many of whom are researchers at the Insight Centre for Data Analytics.

Students also have the opportunity to choose from several optional online modules on offer from our partner in this programme Dublin City University (DCU). 

The programme is taught over two years and is delivered completely online using state-of-the-art technologies and techniques to support the virtual classroom. Students are expected to attend classes on campus at most one day per semester.

This is an intensive and technically rigorous programme. The estimated workload is 20 hours per week during the teaching semesters (September–December and January– April). Each semester is 12 weeks plus a study week and exam period.

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This course is part-funded by Technology Ireland ICT Skillnet under the Training Networks Programme of Skillnet Ireland and by member companies. Skillnet Ireland is funded from the National Training Fund through the Department of Education and Skills. For further information see

Scholarships Available
Find out about our Postgraduate Scholarships here.

You may also be interested in one of our other Computer Science and Software Engineering postgraduate programmes. 

Applications and Selections

How to apply: see

Eligibility: in addition to the academic requirements, candidates must be working in private or commercial semi-state organisations in Republic of Ireland.

Send your CV showing your qualifications and experience to Candidates are encouraged to apply as early as possible. More information here.

Who Teaches this Course

Requirements and Assessment

Key Facts

Entry Requirements

This MSc is targeted at people currently working in industry who wish to significantly deepen their computing skills through a specialisation in Artificial Intelligence. Candidates must have a strong 2.2 Level 8 (or equivalent) computer science degree or a strong 2.2 Level 8 (or equivalent) science/engineering degree that provides extensive training in computing. 

Candidates who do not meet this requirement but are deemed by the programme director to have reached an equivalent standard will also be considered.

Candidates must be EU/EEA nationals or working in Ireland on an Irish Employment Permit.

Eligibility: in addition to the academic requirements, candidates must be working in private or commercial semi-state organisations in Republic of Ireland.

Additional Requirements


2 years, part-time

Next start date

September 2022

A Level Grades ()

Average intake


QQI/FET FETAC Entry Routes

Closing Date

23 July 2022

NFQ level

Mode of study

ECTS weighting




Course code


Course Outline

The MSc in Computer Science—Artificial Intelligence (online) is a two-year 90-ECTS course taught online comprising:

  • 12 taught modules in core AI topics (60 ECTS)
  • A substantial capstone project (30 ECTS). 

The taught modules include:

  • Machine Learning;
  • Deep Learning;
  • Natural Language Processing;
  • Programming and Tools for Artificial Intelligence;
  • Tools and Techniques for Large Scale Data Analytics;
  • Research Skills in Artificial Intelligence
  • Reinforcement Learning and Multi-Agent Systems;
  • Data Visualisation;
  • Knowledge Representation & Statistical Relational Learning;
  • Information Retrieval;
  • Ethics in Artificial Intelligence;

Students at NUI Galway will also have the opportunity to choose from the following optional online modules on offer from Dublin City University.

  • Machine Translation;
  • Mechanics of Search.

From Year 1, Semester 2 onwards, students work on industry-focused projects and submit them in August Year 2. Projects may have a research or applied focus.

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Why Choose This Course?

Career Opportunities

This innovative online MSc in Artificial Intelligence will equip the student with state-of-the-art knowledge and practical skills that are increasingly sought after in industry today. 

Who’s Suited to This Course

Learning Outcomes

Transferable Skills Employers Value

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€3,975 p.a. 2022/23

Fees: Tuition

€3,975 p.a. 2022/23

Fees: Student levy

Fees: Non EU

Candidates must be EU/EEA nationals or working in Ireland on an Irish Employment Permit

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For eligible candidates, fees are grant-aided by ICT Skillnet. The grant-aided fee is €2950 per annum (see

Find out More

For more information email or visit

Or email Programme Director, James McDermott (E:


What Our Students Say


Mary Raymond |   MSc Computer Science - Artificial Intelligence (Online)

I have always wanted to do a master's degree, especially in AI but being a full-time employee it was so hard to attend lectures on working days. Then I found this online master's degree in AI in NUI Galway and it was very useful as I did not have to commute during working hours, instead I attended lectures from home whenever it was suitable for me. After enrolling in the masters I found that it is very interesting, the modules have a wide scope in AI and introduced me to a wide variety of topics related to AI, like Statistics, different techniques to handle large scale data, excellent Python module, as well as the different topic on Machine learning. All the modules had practical assignments and the majority of them were very enjoyable & challenging. This degree really opened my eyes to a lot of aspects related to AI and enabled me to dig deeper in the AI field that I was most interested in which was image-related tasks. Career-wise, I think I would be confident to shift my career from software engineering to a machine learning position.


  • Postgraduate Taught Prospectus 2022

    Postgraduate Taught Prospectus 2022 PDF (14.3MB)

  • AI online brochure 2019

    AI online brochure 2019 PDF (2MB)