MSc in Computer Science (Artificial Intelligence)

  • Closing Date:
  • Start Date:
  • Location:
    Online via University of Galway*
  • Fees:
    €2,950 per annum **

Artificial Intelligence (AI) has been at the forefront of computer science research for over 50 years. In recent years a confluence of breakthroughs in hardware capability and insights into algorithm design have made the early promise of intelligent machines a reality. AI is  one  of  the  fastest growing  areas  of ICT industry and research. It has the potential  to positively transform every aspect of all our lives, from smart cities and autonomous vehicles, through to improved healthcare services and low-carbon economies. This innovative online M.Sc. in Artificial Intelligence will equip the student with state of-the-art knowledge and practical skills that are increasingly sought after in industry today.

This MSc is targeted at people currently working in industry who wish to significantly deepen their computing skills through a specialisation in Artificial Intelligence. Candidates must have a strong 2.2 level 8 computer science degree or a strong 2.2 level 8 science / engineering degree that provides extensive training in computing. Candidates who do not meet this requirement but are deemed by the programme director to have reached an equivalent standard will also be considered. Candidates must be EU/EEA nationals or working in Ireland on an Irish Employment Permit.

**Eligible candidates can avail of ICT Skillnet grant-aid that reduces the student fee to €2950 per annum.  Eligible candidates are those awarded a place by the college AND who are working in private or commercial semi-state organisations in Republic of Ireland.

Send your CV showing your qualifications and experience to Candidates are encouraged to apply as early as possible.

Modules include:

Machine Learning; Deep Learning; Natural Language Processing; Programming and Tools for Artificial Intelligence; Tools and Techniques for Large Scale Data Analytics; Research Topics in Artificial Intelligence; Reinforcement Learning and Multi-Agent
Systems; Data Visualisation; Knowledge Representation and Statistical Relational Learning; Information Retrieval; Ethics in Artificial Intelligence;