Master of Science in Applied Artificial Intelligence

at Institute of Technology Carlow

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
• Dissertation

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.

The fees for Master of Science in Applied Artificial Intelligence may vary from €5,000 to €15,000 annually for tuition fees. The fee's prices may get higher for International Students.

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.