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Human Centered Artificial Intelligence Technologies Teicneolaíochtaí Intleachta Saorga Daonlárnacha

Course Title: PG Diploma in Human Centered Artificial Intelligence Technologies

TU Code
TU242
NFQ Level
Level 9
Award Type
Major
Award
Postgraduate Diploma
ECTS Credits
60
Duration
1 year
Course Type
Postgraduate
Mode of Study
Part Time
Attendance Method
Online
Commencement Date
September 2026
Location
Tallaght
Virtual Tour
Tallaght
EU Fees

Springboard+ funding may be available

Non-EU Fees

The digital transformation of organizations and society is in full swing, and Artificial Intelligence (AI) is playing an increasing role in this. 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 good of our organisation in an informed low-risk fashion?

The aim of this programme is to produce graduates in the field of Computing (Human Centred Artificial Intelligence Technologies) with;

  1. A systematic applied knowledge of the key issues around Human Centred Computing (including Ethics, Transparency, Trust)
  2. The ability to understand and participate in the design, development and deployment of AI solutions using current technologies in the field Artificial Intelligence and
  3. An understanding of where technologies fit into the business and technology strategies of organisations.

Graduates of this programme with be characterised by their;

  • Awareness of issues in respect of data provenance
  • Knowledge of international approaches and standards recommended and required for organisations using AI
  • Capability in respect of assessing existing AI systems for Ethicality, Transparency, Trustworthiness and Compliance
  • Familiar what organisations who wish to develop and integrate AI into their processes need to do to be ethically compliant
  • Ability to risk assess existing and proposed AI processes in application.

Honours Graduates (Level 8) with an award at 2.2 or higher in a field with relevant technical/ numerate/ computing knowledge. Applicants who have an Honours Bachelor's Degree (Level 8) in a listed or a cognate field (e.g. Computing, Scientific, Mathematical, Engineering, or Business IS/MIS discipline), at a minimum award level of 2nd class honours grade 2 (2.2), will be considered for entry if their prior experience is considered an adequate background to prepare them for the programme.

Students with a lower grade of level 8 award than a 2.2 and some years of suitable experience may also qualify for admission. In these cases, competence in Programming, statistics and computing environments may need to be demonstrated. 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.

Two-three evenings per week over one calendar year (online).

Springboard Applications are closed. 

Funding was available in 2025 for this course. Funding may be available in 2026. Register your Interest and we will contact you once applications are open.

For further information, please contact the team at springboard@tudublin.ie.

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Lecturer for School of Enterprise Computing and Digital Transformation - Rajesh Jaiswal

Contact Us

Lecturer for School of Enterprise Computing and Digital Transformation - Musfira Jilani