Applied Artificial Intelligence - Carlow

Artificial Intelligence (A.I.) has become one of the most exciting topics in computing today. Brought about by the improvement in available hardware and an array of free, open-sourced A.I. software libraries, it is one of the fastest growing areas within the ICT industry. It is already being used to develop smarter products and services, from self-driving cars and automated warehouses, to computer games and online chatbots.

This masters programme aims to provide students with a deep understanding of the important topics within Artificial Intelligence. Students will be equipped to apply them in real-life scenarios and to solve (sometimes difficult) business and/or societal problems. Students will learn to discern the possible utility of the real world while understanding the practical considerations that arise, for example: algorithm efficiency, power source, speed, communication, movement, environmental conditions, safety, and ethics.

What will be able to do when I finish this programme?

This programme aims to equip its candidates with a well-rounded knowledge of A.I. through a practical and hands-on focus.

Subjects taught

What subjects will I study?

Programming and Tools for A.I.

Practical Machine Learning

Deep Learning

A.I. Application Domains

Intelligent Cyber Physical Systems

A.I. at the Edge ( exploring A.I.’s place in society)

Research Methods


Entry requirements

A second-class honours, Level 8, primary degree in Computer Science (or equivalent) with a programming/numerate content. In such cases the programme team must be satisfied that the programming/numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a second-class honours in appropriate modules.

Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or higher) and a minimum of 5 years verifiable relevant industrial experience.

Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.

Shortlisted applicants who do not meet the standard entry requirements will be invited for interview.

EU and International graduates whose qualifications are in line with the Bologna agreement or the international NARIC system for Level 8 comparison.

Candidates, for whom English is not their primary language, should possess an IELTS score of 6.0, with no individual section lower than 6.0 or equivalent recognized English language test.


1 year full-time.

Enrolment dates


September 2024

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Study & Career Opportunities

Graduates are well positioned to apply to related fields of study at Master and PhD levels.

Potential employment opportunities:

Students will be able to take on a wide range of roles, including but not limited to data analytics and architecture, software engineering, and machine and deep-learning engineering. The added focus specific to this programme of embedding the algorithms in reallife and physical contexts opens a much wider avenue of employability.

Advanced roles may specialise in areas such as computer vision, language and speech, A.I. architecture and applied machine learning engineering; all roles where expertise and tenacity are required to figure out how to deploy solutions to the real world.

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

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