Course Details
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Brief Description
- Autumn 2025 applications now closed due to excessive demand -
Artificial Intelligence (AI) is one of the most exciting areas in computer science and engineering. AI and Machine Learning (ML) address the challenge of creating machines having the capability to learn, adapt and exhibit intelligence. AI research is revolutionising our lives and leading us to a world with self-driving cars, automated trading on stock markets, AI-assisted surgery, AI-controlled power grids, smartphones that can recognize objects / faces / speech, search engines that can translate languages, video games that exhibit responsive, adaptive and intelligent behavior.
This new unique Programme embraces the new trends in AI by combining established AI techniques like:
- Unsupervised/Supervised/Reinforcement learning, Deep Learning, Parametric/Nonparametric regression and classification, Evolutionary Computation, Bayesian Networks and Search Algorithms,
with emerging disciplines and technologies such as:
- Deep Reinforcement Learning, Causality modelling, Bioinspired robotics, Evolutionary robotics, Humanoid robotics, Games-inspired Behavior modelling, Automatic compliance checking, Automatic workflow synthesis, Machine-supported correctness, Probabilistic programming, and Explainable AI.
Emphasis is on applying these techniques to a variety of application areas: text analytics and natural language processing, machine vision, games, smart manufacturing, predictive maintenance, motion and planning, business analytics, finance and many others.
| Autumn Semester | Spring Semester | Summer Semester |
|---|---|---|
| Introduction to Data Engineering and Machine Learning | Artificial Intelligence and Machine Learning | Artificial Intelligence and Machine Learning Project |
| Evolutionary Computation and Humanoid Robotics | Deep Reinforcement Learning | |
| Text Analytics and Natural Language Processing | Probabilistic and Explainable AI | |
| Artificial Intelligence for Games | Theory and Practice of Advanced AI Ecosystems | |
| Machine Vision | Research Methods and Project Specification |
Content of modules can be found by using the search option on the book of modules.
Applicants for must have a first or second class Level 8 honours degree (NFQ or other internationally recognised equivalents) in a relevant or appropriate subject (Computer Science, Computer Engineering programmes, or level 8 Science programmes that have sufficient mathematical and programming skills), or equivalent prior learning that is recognised by the University as meeting this requirement.
WHAT TO INCLUDE WITH YOUR APPLICATION:
- Qualification transcripts and/or certificates (including certified English translations if applicable
- A copy of your birth certificate or passport
- If your qualifications have been obtained in a country where English is an official language this will suffice
- If this is not available, the following additional documents must be provided:
- English translation of your qualification(s)/transcripts AND
- English language competency certificate
- Please click here for Further Information on English Language Requirements
Guidelines on Completing your Application
• To ensure a speedy assessment of your application, please upload the above documents with your application form – your application cannot be assessed until relevant documentation is uploaded
• Please title appropriately any documents you are uploading with the application form, for example "Supporting Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
International students can find more information on eligibility requirements here.
EU - €7,900
Non- EU - €20,100
Once registered, students can apply to pay their fees in instalments. A request for a payment plan should be emailed to student.fees.office@ul.ie.
Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie.)
Please click here for information on funding and scholarships.
This course prepares students for industry careers in data analytics, data science, machine learning and AI. It also aims to give the students the theoretical knowledge to potentially become high profile PhD candidates and who can carry out high profile research in AI.