Artificial Intelligence and Machine Learning

University of Limerick


Course Name Artificial Intelligence and Machine Learning
Course Provider University of Limerick
Course Code 110200 (Assigned by Qualifax. Not an official code)
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major University of Limerick Level 9 NFQ
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Attendance Options Full time, Daytime
Location (Districts) Limerick City
Qualification Letters MSc.

Qualification transcripts and/or certificates (including certified English translations if applicable

A copy of your birth certificate/passport

If your qualifications have been obtained in a country where English is an official language this will suffice

If this is not available, the following additional documents must be provided:

• English translation of your qualification(s)/transcripts
• English language competency certificate
Application Weblink Web Page - Click Here
Duration 1 Year Full Time
Link to Course Fee Web Page - Click Here
Entry Requirements Applicants for must have a first or second class Level 8 honours degree (NFQ or other internationally recognised equivalents) in a relevant or appropriate subject (Computer Science, Computer Engineering programmes, or level 8 Science programmes that have sufficient mathematical and programming skills), or equivalent prior learning that is recognised by the University as meeting this requirement.
Course Content

Expand+Artificial Intelligence (AI) is one of the most exciting areas in computer science and engineering. AI deals with creating machines having the capability to learn, adapt and exhibit intelligence. AI research is revolutionising our lives and leading u...

Subjects Taught

Expand+Programme Content

Semester 1
• Introduction to Data Engineering and Machine Learning
• Evolutionary Computation and Humanoid Robotics
• Machine Vision
• Text Analytics and Natural Language Processing
• Artificial Intelligence for Ga...

Further Enquiries Course Director
Dr. Nikola Nikolov
Tel: +353 (0) 61 233284
Course Web Page Web Page - Click Here