Artificial Intelligence

An exciting two-year part-time programme to give current and potential AI engineers the skills, theory and recognition they need to develop in their role. Candidates can gain a full MSc degree in this specialist area through a mixed learning process with an emphasis on practical application in the workplace. The programme is aimed at existing information technology professionals and those migrating from associated disciplines with the necessary computing and mathematics competencies.

Entry requirements

The principal entry requirement for both the Masters course and the Certificate Course is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent) in a relevant engineering, computing, mathematics, science or technology discipline. Applicants from other disciplines who have a significant mathematics or computing (i.e. programming) element in their primary degree will also be considered.

Applicants who possess an honours undergraduate degree, at minimum second-class honours, or equivalent in a non-numerate discipline and have a minimum of three years experiential learning in an appropriate computing discipline (with a high level of either mathematics or programming) may also apply.

Applicants who do not meet the requirements above may be considered under the University of Limerick Recognition of Prior Learning policy.

Subjects taught

Year 1

Semester 1
• Artificial Intelligence and Machine Learning
• Data Analytics
• Advanced Topic Seminars and Project Identification

Semester 2
• Research Methods and Project Specification
• Risk, Ethics, Governance and Artificial Intelligence

Year 2

Semester 1
• Machine Vision
• Machine Learning Applications

Semester 2
• Deep Learning
• Data Science
• Theory and Practice of Advanced AI Ecosystems

Semester 3
• Project and Dissertation – AI

Duration

2 years part-time online Blended

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Blended

  • Apply to

    Course provider