Advanced Artificial Intelligence

This programme is designed for individuals with a basic understanding of AI who are eager to delve into cutting-edge topics. It offers an excellent opportunity to explore the latest advancements in machine learning, including deep learning, generative AI, large language models and optimisation. Students will learn to use their AI skills ethically and responsibly. Students in this programme will also be taught to apply their knowledge to real-world challenges in computer vision, healthcare, speech/audio, time series and recommender systems. They will learn from world-class faculty renowned for their ground breaking AI research, and immerse themselves in a vibrant community of like-minded peers.



Unfortunately, due to the competitive nature of the MSc Advanced Artificial Intelligence FT T413 and the limited number of places available, it is inevitable that some very well-qualified students will be disappointed. Meeting minimum requirements does not guarantee an offer in this programme.

Stage 1 Core Modules

COMP41780 Foundations of Deep Learning Autumn 5

COMP41790 Applied AI in Vision & Imaging Autumn 5

COMP41800 Responsible Artificial Intelligence Autumn 5

COMP41810 Advanced ML (AAI) Autumn 5

COMP47790 Optimisation Autumn 5

COMP41820 AI and Ethics Spring 5

COMP41830 Advanced Generative AI & LLMS Spring 5

COMP41860 ML System Deployment Spring 5



Stage 1 Options - A)1 of:

Please choose ONE module from the list

COMP41740 Human-Centred AI Autumn 5

COMP41760 Artificial/Human Intelligence Autumn 5

EEEN40680 Intro. to Quantum Computing Autumn 5



Stage 1 Options - B)3 of:

Please choose THREE modules from the list

ACM41030 Optimization Algorithms Spring 5

COMP31010 Recommender Systems Spring 5

COMP41840 AI for Health Spring 5

COMP41850 AI for Time Series Spring 5

COMP47700 Speech and Audio Spring 5

COMP47950 Quantum Machine Learning Spring 5

COMP47970 Information Visualisation (Blended Delivery) Spring 5

Students entering this programme are expected to have a 2:1 honours bachelor's degree, or its international equivalent, in Computer Science or Computer/Electronic Engineering or Informatics or Artificial Intelligence or Mathematics or Physics. In addition, the student must meet all of the below requirements:



- The applicant must have taken at least one module on Machine learning, artificial intelligence, data science or data mining.



- The applicant must have completed a module with a significant programming component in at least one of the following: C, C++, C#, Java, Python or R. Alternatively, a module on algorithms or data structures or software engineering with a programming focus can also be considered.



- The applicant is expected to have a strong background in mathematics with one or more modules covering some of the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability.



Alternatively, applicants can also enter this programme if they have a 2:2 honours bachelor’s degree and have at least 2 years of industry experience working on AI (machine learning, deep learning, computer vision, natural language processing, optimisation) or data science applications. In this case, the students need not satisfy the requirement of having done modules on AI, programming and basic mathematics.



Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 with not less than 6.0 in any strand, or equivalent 5.



No Garda vetting, health screening, fitness to practise is required.



You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.

https://www.ucd.ie/registry/prospectivestudents/admissions/rpl/

Apply online



Who Should Apply?

Full Time option suitable for:

Domestic(EEA) applicants: Yes

International (Non EU) applicants: Yes



Unfortunately, due to the competitive nature of the MSc Advanced Artificial Intelligence FT T413 and the limited number of places available, it is inevitable that some very well-qualified students will be disappointed. Meeting minimum requirements does not guarantee an offer in this programme.



Applications for 2026/2027 are now open. This course receives significant interest, so please apply early to avoid disappointment. Applications will close once the programme is full.

1 year full-time.

Delivery: On Campus.

T413 Advanced Artificial Intelligence (Master of Science) Full-Time

Commencing September 2026

Graduate Taught

Career & Graduate Study Opportunities

Ireland's vibrant tech industry, coupled with the growing demand for AI expertise, offers exciting career prospects for our MSc in Advanced AI graduates. From cutting-edge research roles in academia to high-demand industry positions, there is a wide range of possibilities. AI careers are highly sought after with opportunities for advancement. Our MSc programme equips graduates to excel in diverse roles, including data science, data analysis, business intelligence, machine learning engineering, AI ethics, and AI product management. This course is also a stepping stone for PhD research.