MSc Artificial Intelligence & Machine Learning

 Autumn Semester
 

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

Spring Semester
 

• Artificial Intelligence and Machine Learning    
• Deep Reinforcement Learning    
• Probabilistic and Explainable AI    
• Theory and Practice of Advanced AI Ecosystems    
• Research Methods and Project Specification    

Summer Semester
 

• Artificial Intelligence and Machine Learning Project

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. 

Tuition Fees

These are based on Residency, Citizenship, Course requirements.

Review the three groups of criteria to determine your fee status as follows
 

1. Residency
    
   • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
      
2. Citizenship
    
   • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
      
3. Course Requirements (all must be met)
    
   • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
   • You must be undertaking a full-time undergraduate course of at least 2 year’s duration
   • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)

This course prepares students for industry careers in data analytics, data science, machine learning and AI. It also aims to give the students the theorethical knowledge to potentially become high profile PhD candidates and who can carry out high profile research in AI.