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Robotics and Artificial Intelligence at University of Glasgow - UCAS

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2025 - 20262026 - 2027
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Course summary

The Masters in Robotics & Artificial Intelligence introduces you to the main technologies underlying the development of robotic and intelligent systems, including machine learning and artificial intelligence (AI), that sense and interact with their physical environment. This programme is designed to provide you with a strong foundation through the core topics, while offering the flexibility to tailor your selection of optional courses so that you focus on particular specialist subject areas. A key strength of this programme is the team and individual project work, which gives you the necessary experience of implementing algorithms and design concepts in the context of practical robotics. WHY THIS PROGRAMME

  • You will be taught jointly by staff from the Schools of Engineering and Computing Science. You will benefit from their combined resources and expertise and from an industry-focused curriculum.
  • The University of Glasgow has been delivering world-class engineering education and research since 1840.
  • Electronic and Electrical Engineering at Glasgow is ranked 1st in Scotland (Complete University Guide 2025).
  • The School of Computing Science is ranked in the top 20 in the UK (Complete University Guide 2025).
  • The Schools of Computing Science and Engineering have extensive contacts with industrial partners who contribute to several of their taught courses through active teaching, curriculum development and panel discussion. Recent contributors include representatives from IBM, J.P. Morgan, Amazon, Adobe, Red Hat Babcock, Howdens and Terex.
  • The School of Computing Science is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.
PROGRAMME STRUCTURE The main mode of delivery of the MSc Robotics and AI are lectures supported by practical tutorials and laboratory sessions. In addition, students are given the opportunity to take part in project and team work, which reinforces the learning process. You will undertake an individual MSc project working on a specific research area with one of the academics either in Engineering or Computer Science. Core Courses Select either Robotics M or Robotics Foundations (H) Select Machine Learning & Artificial Intelligence for Data Scientists (M) or Introduction to Artificial Intelligence and Machine Learning 4 and Advanced Artificial Intelligence and Machine Learning 5 Control M Robotics Team Design Project M MSc Project or MSc Project for Computing Science+ Optional Courses Digital Signal Processing Navigation Systems M Power Electronics and Drives M Human Computer Interaction Design and Evaluation (M) Deep Learning for MSc (M) Advanced Control 5 Autonomous Vehicle Guidance Systems M Dynamics 5 Fault Detection, Isolation And Recovery Real Time Embedded Programming Conversational Interfaces (M) CyberSecurity Fundamentals for MSc (M) CAREER PROSPECTS The landscape for a career in Robotics and AI is wide and varied. Along with the development of Automation and AI-related technologies, it is clear that multiple industries believe that AI and robotics will give their companies the competitive advantage. This could be using AI for customer service, using automation for freight industries, or both for the Pharmaceutical and Financial Service & Investors industries. Typical roles include: software engineer, software developer, machine learning engineer, automation engineer, data scientist, data mining analyst, Big Data engineering, business intelligence developer, robotics scientist, AI research scientist, and video game programmer. Recent graduates have gone on to work for Airbus, Automata and BP plc. Explore our LinkedIn profile for a flavour of where our most recent graduates work.

How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

2.1 Hons (or non-UK equivalent) in any Engineering discipline, Computing Science or Physical Sciences/Mathematics degree that includes the accepted modules, with modules in each of Electronics and Engineering Maths and Maths at an average grade of 2.1 or non-UK equivalent. We may sometimes accept degrees at 2.2 Hons (or non-UK equivalent) with an average grade of 2.1 or non-UK equivalent in accepted modules.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Robotics and Artificial Intelligence at University of Glasgow - UCAS