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University of Limerick Artificial Intelligence & Machine Learning MSc

University of Limerick

Artificial Intelligence & Machine Learning MSc

Limerick, Ireland

1 Years

English

Full time

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Sep 2025

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On-Campus

Key Summary

    About: The Artificial Intelligence & Machine Learning MSc offers a comprehensive exploration of AI and machine learning techniques. Students engage with theoretical concepts and practical applications across various domains, preparing them for advanced roles in data science and technology innovation. The program typically spans one to two years depending on the study mode chosen.
    Career Outcomes: Graduates can pursue careers as data scientists, machine learning engineers, AI researchers, or software developers. Opportunities abound in sectors such as finance, healthcare, and technology, where they’ll apply their expertise to solve complex problems and drive innovation.

Introduction

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.

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