Computing - Human Centred Artificial Intelligence - Tallaght

TU Dublin - Technological University Dublin

Computing - Human Centred Artificial Intelligence - Tallaght

What is... Human Centered Artificial Intelligence?
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.

Further details on this course can be found on this website

Subjects taught

Semester 1
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)

Entry requirements

Minimum Entry Requirements?
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.

If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this programme should have a minimum IELTS (Academic Version) English Proficiency of 6.5 overall (or equivalent) with nothing less than 6 in each component.

Application dates

Applications for courses commencing in September 2024 will open in November 2023.


1 year
Mode of Study Full Time
Method of Delivery Blended

This course will be delivered in the classroom – Daytime delivery 4 days per week.

2 years
Mode of Study Part Time
Method of Delivery Online

This course is delivered entirely online. However, students are expected to visit campus (or travel to partner universities) for optional events such as Ethicon, Interactive Project Week and project presentations.

Classes are typically delivered on Mondays (or Tuesdays) and Wednesdays evenings, 6.00pm – 9.30pm. Lecturers may record the online session on request. However, most of the sessions are interactive hence, it is highly recommended that students attend these online sessions, as interactions with students will not be recorded.

Enrolment dates

Commencement Date: September 2024

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Blended,Daytime,Full time,Part time

  • Apply to

    Course provider