Human Centered Artificial Intelligence - Tallaght

TU Dublin - Tallaght

Human Centered Artificial Intelligence - Tallaght

What is... Human Centered Artificial Intelligence?
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.

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

Subjects taught

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)

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.

Application dates

How to Apply
Applications now open - Apply Now

Full Time : For queries on the application process please contact:

Part Time: For queries on the application process please contact:

Or call the Lifelong Learning Team at: +35312207480


TU471: 1 year
Mode of Study: Full Time
Method of Delivery: Classroom, Online

TU471P: 2 years
Mode of Study: Part Time
Method of Delivery: Classroom, Online

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).

Post Course Info

What are my career opportunities?
Graduates will have Design-Engineering skills and expertise applied on the latest tool sets that will be of particular value to the Semiconductor, Networking and Wireless Industries. It is likely that many of the course participants will already be employed in one of these sectors and this qualification will help move their career to the next level or to enable graduates to enter into these areas.

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Part time,Blended

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