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Computer Science / Artificial Intelligence● OpenMastersPreview

MSc in Applied Artificial Intelligence

A hands-on master’s programme equipping graduates to solve real-world business and societal challenges using AI.

Best for:Best for computer science graduates or professionals with 5+ years of relevant industrial experience seeking to specialise in AI applications for business and societal challenges.

SETU - Carlow Campus · Carlow, Ireland
More professors at SETU - Carlow Campus
Machine LearningAI Applications in BusinessAI for Societal ProblemsProgramming and NumeracyData Science
This is a masters position — not a PhD studentship.
Deadline
Application Deadline 28 Aug 2026
Funding
—
1 year (full-time)
Start date
Flexible (typically aligned with academic calendar)
Full-time
Location
Carlow
Ireland

Overview

This master’s programme at SETU Carlow Campus offers a practical and theoretical deep dive into Artificial Intelligence. Students gain expertise in applying AI techniques to address complex problems in business and society. The curriculum balances foundational knowledge with real-world scenarios, ensuring graduates are industry-ready. The programme is ideal for computer science graduates or those with equivalent programming experience, including alternative entry routes for experienced professionals. English proficiency is required for non-native speakers.

Applied Artificial IntelligenceAI Business SolutionsSocietal Problem-SolvingComputer Science Master’sIndustrial ExperienceProgramming SkillsData-Driven Decision Making

What you'll do

  • Develop and apply AI techniques to solve real-world business and societal problems.
  • Engage in practical projects that bridge theoretical knowledge with industry applications.
  • Collaborate on interdisciplinary solutions addressing complex challenges.
  • Gain proficiency in programming and numeracy to implement AI models effectively.
  • Participate in coursework and projects that emphasize hands-on learning and problem-solving.

Requirements

Degree required: A second-class honours (Level 8) primary degree in Computer Science or equivalent with sufficient programming/numerate content, OR an undergraduate degree (Level 7 or higher) with at least 5 years of verifiable relevant industrial experience, OR a minimum of 10 years verifiable relevant industrial experience without a primary degree.

Degree offered: MSc in Applied Artificial Intelligence

Language: English; IELTS 6.0 (no individual section below 6.0) or equivalent recognized English language test.

Instruction: English

Required skills
  • Proven proficiency in programming and numeracy for computer science graduates.
  • At least 5 years of verifiable relevant industrial experience for non-degree holders (Level 7 or higher).
  • Minimum 10 years of verifiable relevant industrial experience for applicants without a primary degree.
  • English language proficiency for non-native speakers.
Eligibility
  • EU and international graduates whose qualifications align with the Bologna agreement or NARIC Level 8 comparison.
  • Applicants with alternative entry routes (industrial experience) may be interviewed.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (full-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
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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
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How to apply

Deadline: 2026-08-28

Applicants must submit their application through the official SETU portal. Required documents include a CV, academic transcripts, proof of English proficiency (if applicable), and a statement of purpose or relevant industrial experience documentation. Shortlisted applicants may be invited for an interview.

Documents required
  • CV
  • Academic transcripts (BSc + MSc if applicable)
  • Proof of English proficiency (IELTS or equivalent)
  • Statement of purpose or relevant industrial experience documentation
  • Reference letters (if required)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.