Artificial Intelligence & Machine Learning MSc
University of Limerick
Key Information
Campus location
Limerick, Ireland
Languages
English
Study format
On-Campus
Duration
1 year
Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
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Introduction
Artificial Intelligence & Machine Learning MSc
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 Program embraces the new trends in AI by combining established AI techniques:
- Unsupervised/Supervised/Reinforcement learning, Deep Learning, Parametric/Nonparametric regression and classification, Evolutionary Computation, Bayesian Networks and Search Algorithms.
with emerging disciplines and technologies:
- 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.
Admissions
Scholarships and Funding
For more information about scholarships, please visit the university website.
Curriculum
Autumn Semester
- Introduction to Data Engineering and Machine Learning
- Evolutionary Computation and Humanoid Robotics
- Text Analytics and Natural Language Processing
- Artificial Intelligence for Games
- Machine Vision
Spring Semester
- Artificial Intelligence and Machine Learning
- Deep Reinforcement Learning
- Probabilistic and Explainable AI
- Theory and Practice of Advanced AI Ecosystems
- Research Methods and Project Specification
Summer Semester
- Artificial Intelligence and Machine Learning Project
Program Outcome
This course 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.
Program Tuition Fee
Career Opportunities
This course prepares students for industry careers in data analytics, data science, machine learning and AI.