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Robotics and Artificial Intelligence● OpenMastersPreview

MSc Robotics and Artificial Intelligence

A multidisciplinary master’s programme blending robotics, AI, machine learning, and mechatronics for careers in industry or academia.

Best for:Best for graduates in computer science, engineering, or related fields with strong mathematical and programming backgrounds seeking to specialise in robotics and AI for industry or research.

Queen's University Belfast · Belfast, Ireland
More professors at Queen's University Belfast
RoboticsArtificial IntelligenceMachine LearningMechatronicsComputer VisionControl Systems
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 Robotics and Artificial Intelligence at Queen’s University Belfast is designed to equip students with advanced technical skills in robotics, AI, machine learning, and control systems. This programme prepares graduates for roles in industry or further research, with a strong emphasis on hands-on learning and interdisciplinary knowledge. Students will engage with cutting-edge topics such as computer vision, dynamical systems, and mechatronics, ensuring they are well-prepared for both industrial and academic pursuits. The curriculum balances theoretical foundations with practical applications, fostering innovation and problem-solving abilities in real-world scenarios.

Robotics EngineeringAI ApplicationsIndustrial AutomationControl TheoryData-Driven SystemsAutonomous SystemsMathematical ModellingProgramming for Robotics

What you'll do

  • Develop advanced skills in robotics, AI, and machine learning through hands-on projects and theoretical coursework.
  • Apply mathematical and computational techniques to solve complex problems in dynamical systems and control.
  • Engage in interdisciplinary research projects that bridge robotics, AI, and mechatronics.
  • Collaborate with peers and industry partners to design and implement innovative solutions.
  • Prepare for careers in industry or further academic research with a strong foundation in technical skills.

Requirements

Degree required: A 2:1 Honours degree (or equivalent) in Computer Science, Software Engineering, Electrical/Electronic Engineering, Mechanical Engineering, Mathematics with Computer Science, Physics with Computer Science, or a related discipline. Applicants with a 2:2 Honours degree and 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)

Instruction: English

Required skills
  • Strong mathematical ability and proficiency in relevant modules
  • Significant programming experience demonstrated through formal qualifications or coursework
  • Excellent problem-solving and analytical skills
Nice to have
Experience with robotics or AI tools and frameworksBackground in control systems or dynamical modelling
Eligibility
  • Applicants must meet the minimum 2:1 Honours degree requirement or equivalent.
  • International students must satisfy UK Visas and Immigration (UKVI) English language requirements for visa purposes.

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
Not confirmed by the source
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: 2026-06-30

Applicants should apply as early as possible through the university’s official application 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.

Documents required
  • CV/Resume
  • Academic transcripts (Bachelor’s and Master’s if applicable)
  • Proof of English language proficiency (IELTS or equivalent)
  • Personal statement or statement of purpose
  • 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.