MSc in Artificial Intelligence Research

Key Points

  • Work permit while you study

  • Post Graduation Work Permit for 24 months

  • Start dates: September

  • Duration: 2 years

  • Level 9 qualification

  • Type: Full Time
  • Hours: Daytime
  • Enrollment Fee: From € 10,000 / year

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In recent years there have been three key developments that have helped Artificial Intelligence become a real world technology with practical applications. It’s about cheaper and faster processing and storage capacity, better big data analytics tools, and better machine learning algorithms. These developments mean that we can now teach machines rather than program them.

This is a major paradigm shift because, until recently, when we wanted to automate a task using artificial intelligence, we had to fully understand it in order to code it into a set of computer programs. The more complicated the task, the more difficult it was to automate. Now we can feed that data into a machine learning algorithm which then learns to reproduce the behavior. Collecting data is much faster than trying to understand and anticipate every eventuality. Which means we are now accelerating progress on the AI ​​front. Just look at the progress companies like Google, Facebook, and Amazon are making in their adoption of artificial intelligence solutions.

This course is designed to prepare you for an exciting and challenging career in AI research and development.

Program structure

Semester 1:

  • Machine Learning
  • Artificial intelligence 1

Semester 2:

  • Mathematics for Big Data Analytics
  • Artificial intelligence 2

Semester 3:

  • Dissertation

Career opportunities

The main employers are:

  • Banks and finance
  • All types of Management
  • Hospitals, Health and Life Sciences
  • Manufacturing and energy
  • Communications and transportation

Possible jobs:

  • AI Research
  • Fraud detection
  • CREDIT Analysis
  • Smart cities
  • Predictive diagnosis
  • Biomedical technology

Admission requirements

Master’s Programs will be available to applicants who meet one of the following criteria:

  • An honors degree in Computing with first or second class honors or an equivalent qualification.
  • Candidates who do not have an honors degree but have significant relevant experience may also be eligible for consideration through the Recognition of Prior Learning (RPL).

Learn more about our educational offer

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