Students studying at computers

Human Centered Artificial Intelligence / Intleacht shaorga daonlárnaithe

The digital transformation of organizations and society is in full swing, and Artificial Intelligence (AI) is playing an increasing role in this. 

The minimum entry requirement for standard entrants to the course is a 2:2 (GPA 2.5 or equivalent), in a Bachelor of Science in Computing (Level 8) or a cognate discipline or equivalent. Candidates not attaining this standard level must achieve an acceptable standard for progression by other means approved by QQI. All applicants must have competence in spoken and written English. Candidates may be interviewed to determine eligibility.

AI systems can used to automatically determine bank loan eligibility, for recognition of dangerous situations through image processing, for assessing medical needs. However, the use of AI also carries challenges, from biased implementations based on faulty data to losing understanding and control over complex systems. How do we ensure that Artificial Intelligence is used for the common good? In the M.Sc. Human Centered AI you learn how to build and apply AI, and how to deal with the societal choices that come with it.

This course has been developed by a consortium of ten organisations across European Universities, Excellence Centres and SMEs. On this course you will develop broad practical knowledge for the creation of Human Centred AI systems. You will also be trained in explainable AI, compliance by design and implementing systems in real world organisations empowering you to make the right decisions about the use of AI with human concerns at the centre.

Semester 1

  • Statistics 
  • Data Analysis and Programming 

Semester 1 & 2

  • Artificial Intelligence and Machine Learning Modelling
  • Ethics & IT
  • Research Methods and Proposal Writing 

Semester 2

  • Future of Artificial Intelligence and Learning
  • Society and AI: Risk and Compliance
  • Human Centric Deep Learning
  • Research Thesis (Human Centred AI)

Note: that as part of European funding for this course substantial online learning resources have been created to support this programme.

  • Daytime Schedule: 5 days/ week over 1 year.
  • Evening Schedule: Two evenings per week over two years (online).

For queries on the application process please contact:

This course has been funded by the European Commission as part of an initiative to respond to the need for regulation of AI systems.

TU Code



Level 9


Masters of Science


1 year

Course Type


Mode of Study

Full Time

Method of Delivery

Classroom, Online

Commencement Date

September 2022




Some scholarship funding may be available.

FT  fee €5,850 

FT fee (with Scholarship) €1,000.  [20 scholarships are available to excellent qualified candidates.]



Contact Us

Dr. Barry Feeney