Artificial Intelligence and Machine Learning
Entry requirements
- Applicants should hold a bachelor’s degree (NFQ Level 8,) with at least a second-class honours, grade 2 (2:2) in a relevant or appropriate subject like computer science, computer engineering programmes, or science programmes that have sufficient mathematical and programming skills.
Other Entry Considerations:
We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme.
At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy.
Months of entry
September
Course content
Gain the skills and knowledge to progress your career in Artificial Intelligence and Machine Learning, one of the most exciting areas in computer science and engineering.
Our unique Master of Science (MSc) in Artificial Intelligence and Machine Learning embraces the new trends in AI by combining established AI techniques with emerging disciplines and technologies.
Learn how to apply these techniques to a range of application areas, including text analytics and natural language processing, machine vision, games, smart manufacturing, predictive maintenance, motion and planning, business analytics, finance and many others.
During this programme, you will:
- Explore a wide range of AI techniques, including reinforcement learning, deep learning, evolutionary computation, Bayesian networks and search algorithms.
- Examine emerging disciplines and technologies, such as deep reinforcement learning, causality modelling, bioinspired robotics, evolutionary robotics, games-inspired behaviour modelling, probabilistic programming and explainable AI.
- Apply AI techniques to a variety of application areas such as text analytics and natural language processing, machine vision, games and smart manufacturing.
- Acquire the skills to research, analyse and present a project based on a chosen topic or problem.
Information for international students
Email ULGlobal@ul.ie for further information.
Fees and funding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Dr Emil Vassev
- emil.i.vassev@ul.ie