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Computer Science & IT
Master in Artificial Intelligence (MSc) - Dublin Business
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Master in Artificial Intelligence (MSc) - Dublin Business

Dublin Business School
On campus
 1349 Points
1 Year

Program Description

The Master of Science (MSc) in Artificial Intelligence (AI) is designed to meet the growing needs for AI throughout the workforce which will create added value and wealth for Irish businesses. Given society’s increasing communications with global partners, AI is emerging as a highly employable discipline.

In computer science, Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

According to a recent report by Forbes, by 2022 AI skills will be required in every industry and could create up to 22 million new jobs globally. Recent findings were presented in The World Economic Forum and the estimates were that by 2025 machines are expected to perform more current work tasks than humans compared to 71% being performed by humans today.

The report concludes that robotics, smart automation technology, and artificial intelligence, could contribute up to $15 trillion to global GDP by 2030.

Entry Requirements

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Aim of the Program

  • Enable learners to develop mastery of current and developing computer technologies especially skills related to the development and use of Artificial Intelligence.
  • Provide learners with a deep and systematic knowledge of the management of Artificial Intelligence in organisational contexts.
  • Facilitate the development of applied skills that are directly complementary and relevant to the workplace.
  • Identify and develop autonomous learning skills for the learners.
  • Develop in learners a deep and systematic understanding of current issues of research and analysis.
  • Enable the learners to identify, develop and apply detailed analytical, creative, problem solving and research skills.
  • Respond ethically and informatively to address any unseen situations that may arise due to the emerging needs of industry.
  • Provide the learner with a comprehensive platform for career development, innovation and further study.


Stage 1

Programming for Data Analysis

Cognitive Science for AI

Machine Learning & Pattern Recognition

Recommender Systems

Deep Learning

Reinforcement Learning

Data Visualisation

Stage 2

Applied Research Methods

Applied Research Project


  • Data architects
  • Software engineers
  • Machine and deep learning engineers
  • Computer Vision
  • Language and Speech
  • AI architecture

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