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Artificial Intelligence● OpenMastersPreview

MSc Artificial Intelligence

A rigorous master’s programme preparing graduates for careers as AI researchers or engineers in industry and academia.

Best for:Best for graduates in computer science, engineering, or mathematics with a passion for AI, strong programming skills, and a desire to work in research or industry.

Queen's University Belfast · Belfast, Ireland
More professors at Queen's University Belfast
machine learningcomputer visionnatural language processingalgorithmic designdata scienceAI ethics and applications
This is a masters position — not a PhD studentship.
Deadline
Applicants are advised to apply as early as possible and ideally no later than 30th June 2026 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal prior to the deadline stated on course finder. Notifications to this effect will appear on the application portal against the programme application page. Please note: a deposit will be required to secure a place.
Funding
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1 year (full-time)
Start date
Late September 2026
Full-time
Location
Belfast
Ireland

Overview

The MSc Artificial Intelligence programme at Queen’s University Belfast equips students with foundational knowledge and practical skills to excel in AI-driven fields. Taught by experts in computer science, software engineering, and related disciplines, the course balances theoretical concepts with hands-on programming and mathematical rigor. Graduates emerge with the expertise to design AI systems, contribute to cutting-edge research, or enter industry roles as engineers. The programme emphasizes real-world applications, ensuring students are industry-ready. It attracts applicants with strong technical backgrounds, whether from formal education or professional experience.

AI researchmachine learning algorithmscomputer sciencesoftware engineeringdata-driven systemsAI industry applicationsmathematical modelingprogramming experience

What you'll do

  • Develop advanced AI models and algorithms for real-world applications.
  • Engage in hands-on programming and mathematical problem-solving.
  • Conduct research in AI subfields such as machine learning, computer vision, or NLP.
  • Collaborate with peers and faculty on AI projects and case studies.
  • Apply AI techniques to solve complex engineering and computational challenges.
  • Participate in seminars, workshops, and industry-relevant AI projects.

Requirements

Degree required: A 2.1 Honours degree (or equivalent) in Computer Science, Software Engineering, Electrical/Electronic Engineering, Mathematics with Computer Science, Physics with Computer Science, or a related discipline. Applicants with a 2.2 Honours degree plus a Master’s degree in a relevant field may be considered on a case-by-case basis.

Language: English; IELTS 7.0 overall with no less than 6.0 in any component, or equivalent qualification acceptable to the University.

Instruction: English

Required skills
  • Proven mathematical ability and aptitude for quantitative problem-solving.
  • Significant programming experience, demonstrated through formal qualifications or industry experience.
  • Strong background in computer science or related technical disciplines.
  • Ability to work independently and collaboratively on technical projects.
Nice to have
Experience with AI frameworks such as TensorFlow or PyTorch.Prior exposure to machine learning or data science projects.Familiarity with statistical modeling or computational algorithms.
Eligibility
  • Applicants must meet the minimum degree requirement (2.1 Honours or equivalent).
  • International students must satisfy UKVI English language requirements for visa purposes.
  • No age or residency restrictions, but evidence of technical experience may be considered for applicants without a 2.1 degree.

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

How to apply

Deadline: 2026-06-30

Applicants should apply as early as possible through the university’s official portal. The application process requires submitting academic transcripts, proof of English proficiency, and a personal statement. A deposit may be required to secure a place. The university reserves the right to close applications early if demand exceeds capacity.

Documents required
  • CV or resume
  • Academic transcripts (Bachelor’s and Master’s, if applicable)
  • Proof of English language proficiency (IELTS or equivalent)
  • Personal statement or research proposal
  • Two letters of recommendation (if applicable)
↗Check programme and admissions

Contact

Lab
School of Electronics, Electrical Engineering and Computer Science
Queen's University Belfast
Ireland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.