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Computer Science / Artificial Intelligence● OpenMastersPreview

Master of Science in Artificial Intelligence

A career-focused master’s programme equipping graduates with AI expertise for industry and research.

Best for:Best for professionals and graduates with a background in computer science, engineering, mathematics, or related fields seeking to specialise in AI and transition into industry or research roles.

Dublin Business School · Dublin, Ireland
More professors at Dublin Business School
Machine LearningArtificial Intelligence ApplicationsData ScienceComputational Problem-SolvingProgramming in AIAlgorithmic Design
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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1 year (full-time) or 2 years (part-time)
Start date
Flexible (depends on intake)
1 year (full-time) or 2 years (part-time)
Location
Dublin
Ireland

Overview

The Master of Science in Artificial Intelligence at Dublin Business School is designed to prepare students for dynamic careers in the rapidly expanding AI sector. This programme blends theoretical foundations with practical applications, focusing on computational problem-solving, machine learning, and data-driven decision-making. Students engage in hands-on projects, coding exercises, and industry-relevant case studies to develop technical skills in programming, mathematics, and AI model deployment. The curriculum is structured to accommodate both full-time and part-time learners, with flexible delivery modes including in-person lectures, Zoom sessions, and asynchronous learning. Graduates emerge with the expertise to contribute to AI innovation across diverse sectors, from technology to business strategy.

AI Master's ProgrammeMachine LearningData ScienceArtificial Intelligence ApplicationsProgramming in Python/Java/C++Linear AlgebraProbability TheoryIndustry-Relevant AI Skills

What you'll do

  • Develop and implement AI models and algorithms to solve real-world problems.
  • Apply mathematical and statistical techniques to analyse complex datasets.
  • Program in object-oriented languages (e.g., Python, Java, C++) to build AI solutions.
  • Engage in hands-on projects and case studies to develop practical AI expertise.
  • Collaborate on group projects to simulate industry teamwork and problem-solving.
  • Utilise AI tools and frameworks to design, test, and deploy AI systems.
  • Participate in classroom discussions and lectures to deepen theoretical understanding.
  • Complete asynchronous learning modules to reinforce key AI concepts and skills.

Requirements

Degree required: A Level 8 honours bachelor’s degree (2.2 or above) in a cognate area such as computer science, IT, engineering, or mathematics OR a Level 8 Higher Diploma (2.2 or above) in a cognate area OR a Level 8 honours bachelor’s degree (2.2 or above) in a non-cognate area with 4 years of related professional experience.

Degree offered: Master of Science (MSc)

Language: English; B2+ CEFR level (IELTS 6.0 or equivalent for non-native speakers).

Instruction: English

Required skills
  • Proven competence in mathematics, including linear algebra and probability (recommended: 10 ECTS in the last ten years).
  • Proficiency in coding using object-oriented programming languages (e.g., Python, Java, C++, C#).
  • Demonstrable English language proficiency (B2+ CEFR level) for non-native speakers, evidenced by recent IELTS or Cambridge Certificate.
Nice to have
Prior professional experience in AI, data science, or related technical fields.Experience with AI frameworks or tools such as TensorFlow, PyTorch, or similar.Background in data analysis or machine learning projects.
Eligibility
  • Minimum 2.2 GPA in a Level 8 honours bachelor’s degree or equivalent.
  • No age restrictions, but professional experience may be required for non-cognate degree holders.
  • No specific nationality restrictions; international qualifications subject to equivalence assessment.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (full-time) or 2 years (part-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
Not confirmed by the source

How to apply

Applicants must complete and submit an online application form available on the Dublin Business School website. The application process includes providing academic transcripts, proof of English proficiency (if applicable), and any relevant professional experience documentation. All applications are reviewed by the Admissions Office for qualification equivalence.

Documents required
  • CV or resume
  • Academic transcripts (Bachelor’s degree and Higher Diploma, if applicable)
  • Proof of English language proficiency (IELTS or Cambridge Certificate for non-native speakers)
  • Proof of professional experience (if applicable)
  • Application form
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