Course Overview

This programme is aimed at candidates who are currently employed in industry in Ireland, in management roles. It will also be suitable for candidates who are transitioning to a management role. The programme is part-funded by ITAG Skillnet, giving a reduced fee of €2,495 for ITAG members. Although the programme will equip graduates with broad understanding of Artificial Intelligence (AI) techniques, it will not require them to learn programming or mathematics to succeed. Instead it will focus on understanding AI at a more strategic and practical level: What techniques are available? How can a particular technique add value for my company? What data is needed? What skills do my team need? How do I track project progress? What are the legal issues for my company and what are the implications for society?

Applications and Selections

Applications are made directly to funding body ITAG Skillnet. Applicants will initially be assessed for eligibility by ITAG Skillnet. They will then be assessed for academic entry requirements by NUI Galway. Prospective applicants should email their CV to to determine eligibility for entry to the programme, before making a formal application for admission on the NUI Galway postgraduate applications portal.

Who Teaches this Course

  • Professor David O’Sullivan (School of Computer Science)
  • Dr Heike Felzmann (School of Philosophy and Ethics)
  • Dr Rónán Kennedy (School of Law)
  • Dr Frank Glavin (School of Computer Science)
  • Dr Patrick Mannion (School of Computer Science)
  • Dr Karl Mason (School of Computer Science)
  • Dr John McCrae (School of Computer Science)
  • Dr James McDermott (School of Computer Science)

Requirements and Assessment

Key Facts

Entry Requirements

Strong Level-8 undergraduate, not necessarily in computer science. (Work experience may be considered as an alternative.) Must be working in industry in Ireland at an appropriate level (management or transitioning to management).

Additional Requirements


1 year, part-time

Next start date

September 2022

A Level Grades ()

Average intake


QQI/FET FETAC Entry Routes

Closing Date
NFQ level

Mode of study

ECTS weighting




Course code


Course Outline

The course is fully online, over two semesters. We use asynchronous delivery to suit business leaders’ schedules. Delivered through videos, readings, exercises, discussion boards, group work, and more, with optional synchronous video sessions. We emphasise continuous assessment. Students will deliver multiple assessment items over the year, with limited use of exams. Students will customise projects to opportunities in their own companies.

The programme is divided into two themes: 

  1. AI Fundamentals (15 ECTS) 
  2. AI in Business and Society (15 ECTS).

These two themes are each implemented as a block of three modules, and each module is worth 5 ECTS. The overall structure is as follows:

Semester 1 (September–December):

  • Introduction to AI
  • AI Strategy and Transformation
  • Machine Learning and Natural Language Processing

Semester 2 (January–May):

  • Data Analysis and Visualisation
  • Ethics and Law for AI
  • Future of AI

A graduate of this programme will achieve the following Learning Outcomes: 

  • Have a broad, practical grounding in the field of AI; 
  • Be able to work with data to achieve insight; 
  • Discuss recent examples of commercial applications of AI, including potential benefits and limitations; 
  • Know how to lead AI transformation in the organisation; 
  • Have the ability to lead strategic decision-making in relation to adoption of new AI technologies; 
  • Have an awareness of the legal and ethical issues arising in commercial applications of AI.

Why Choose This Course?

Career Opportunities

The field of artificial intelligence continues to grow very quickly, as techniques which have been proposed over decades are finally being shown to work. Milestones and grand challenges are being achieved. There is no prospect of AI growth slowing in the coming decades. Business leaders need to know how to strategise, envision projects, and hire and manage teams, without needing to become programmers.

This programme is suitable for students already in management, or in some cases transitioning to management. It is intended to allow them to progress their careers in the area of technology, including towards upper management and positions such as CTO. It is not intended for students aiming to work directly in coding AI systems.

Who’s Suited to This Course

Learning Outcomes


Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€€2495 for ITAG members; €3950 for non-members

Fees: Tuition

Fees: Student levy

Fees: Non EU

Find out More

Dr Patrick Mannion 
Programme Director


  • Postgraduate Taught Prospectus 2022

    Postgraduate Taught Prospectus 2022 PDF (14.3MB)