Master's in Advanced Artificial Intelligence
Explore cutting-edge machine learning, deep learning, and large language models at University College Dublin.
Best for:Best for graduates in computer science, mathematics, or engineering looking to specialize in cutting-edge artificial intelligence and machine learning.
Overview
The Master's in Advanced Artificial Intelligence at University College Dublin is a rigorous graduate programme designed for students seeking to deepen their expertise in modern computational intelligence. The curriculum covers foundational and advanced topics including deep learning, generative AI, large language models, and optimization techniques. Students engage in intensive coursework and practical projects to build sophisticated data-driven skills. The programme expects high academic dedication and prepares graduates for advanced careers or further research in artificial intelligence.
What you'll do
- Complete advanced coursework across various artificial intelligence and machine learning modules
- Develop practical programming projects utilizing languages such as Python, C++, or Java
- Analyze complex datasets and apply optimization algorithms to solve computational problems
- Engage with state-of-the-art literature in deep learning and large language models
- Fulfill all 90 credit requirements of the Level 9 NFQ master's curriculum
Requirements
Degree required: 2:1 honours bachelor's degree in Computer Science, Computer/Electronic Engineering, Informatics, Artificial Intelligence, Mathematics, Physics, or equivalent (or 2:2 with 2+ years of relevant industry experience)
Degree offered: Master's
Language: English; IELTS 6.5 with not less than 6.0 in any strand, or equivalent
Instruction: English
- Prior academic study in machine learning, artificial intelligence, data science, or data mining
- Completed module with a significant programming component in C, C++, C#, Java, Python, or R (or coursework in algorithms, data structures, or software engineering)
- Strong background in mathematics including calculus, linear algebra, discrete mathematics, and probability
- Open to both domestic (EEA) and international (Non-EU) applicants
- Must meet minimum academic and English language proficiency requirements
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
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How to apply
Applications are submitted online through the university admissions portal. Candidates should apply early due to high demand and limited places, as applications close once the programme reaches capacity.
- CV
- Academic transcripts
- English language proficiency test scores
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.