Course Summary
Our new one-year MSc in Advanced Artificial Intelligence (AI) is designed for individuals with a basic understanding of AI who are eager to delve into cutting-edge topics. This programme offers an excellent opportunity to explore the latest advancements in machine learning, including deep learning, generative AI, large language models and optimisation.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
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://tinyurl.com/2ae2ffax
Application Details
Who Should Apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes
Next Intake: September 2025.
Fees
Advanced Artificial Intelligence (T413) Full Time
EU fee per year - € 9530
nonEU fee per year - € 30560
***Fees are subject to change
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
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.