Computing - Human Centred Artificial Intelligence - Tallaght

Master of Science in Computing in Human Centered Artificial Intelligence

What is... Human Centered Artificial Intelligence?

The digital transformation of organisations and society is in full swing, with Artificial Intelligence (AI) playing an increasingly significant role. Furthermore, the EU AI Act dramatically alters the market rules for AI systems and services, impacting EU and non-EU manufacturers, importers, distributors, authorised representatives, operators, and users. One primary objective of the Act is to ensure the safety and compliance with existing EU law on fundamental rights for AI systems placed on the EU market and used within the EU. This way, we ensure that ‘the human’ is respected in practice and the design of AI is human-centric.



In the MSc in Computing (Human Centred AI) programme at Technological University Dublin, you learn how to build and apply AI, and how to deal with the societal choices that come with it. The programme provides student-centric learning through interactive sessions, tutorials and practicals on AI trustworthiness, AI ethics, and how AI can be designed and socially harmonious. This course has been developed by a consortium of ten organisations across European Universities, Excellence Centres and Small and Medium Enterprises. European Activity includes a joint week spent working on Project ideas with industry and research partners in Utrecht annually.

TU471 & TU471P: Module listing

Year One

Semester 1

• Artificial Intelligence and Machine Learning Modelling [Mandatory]

• Data Analysis and Programming [Mandatory]

• Ethics & IT [Mandatory]

• Research Methods and Proposal Writing [Mandatory]

• Statistics [Mandatory]



Semester 2

• Artificial Intelligence and Machine Learning Modelling [Mandatory]

• Future of Artificial Intelligence and Learning [Mandatory]

• Ethics & IT [Mandatory]

• Society and AI: Risk and Compliance [Mandatory]

• Human Centric Deep Learning [Mandatory]

• Research Methods and Proposal Writing [Mandatory]

• Research Thesis (Human Centred AI) [Mandatory]

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.

TU471 - Full Time: Applications for this course are now open.

TU471P - Part Time: Applications will open in February 2025.



For further information, please visit How To Apply (Application Weblink above).



Non-EU Students

Non-EU students, not resident in Ireland, may only apply for part-time programs that are exclusively offered online, applications for courses that require on-campus attendance will not be processed and the application fee will not be refunded. Applications for exclusively online courses can be made under the following guidelines:



Standard Part-Time Rate: Non-EU students can apply and pay tuition fees at the standard part-time rate for the chosen program.

No Student Visa Required: Non-EU students applying for 100% online part-time courses do not require a student visa for Ireland.

No Residency Status Needed: Applicants do not need to possess any residency status in Ireland to be eligible for online programs as there is no requirement to travel to Ireland.

TU471: 1 year, Full Time

Method of Delivery: On-Campus



Schedule:

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



TU471P: 2 years, Part Time

Method of Delivery Online



Schedule

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.

Commencement Dates:

TU471 - Full Time: January & September 2025

TU471P - Part Time: September 2025