Robotics and Artificial Intelligence
Basic Information
- Course ID
1a17ea7b-cdf8-430e-ab21-e2dbabfa4d3d- Option ID
dc1b757a-5c78-4066-a59f-e18ea1434c86- Provider
- University of Glasgow
- Type
- postgraduate
- Academic Year
- 2026
- Source
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- Created
- 2/25/2026, 11:41:45 PM
- Updated
- 3/28/2026, 10:39:47 AM
Other Options for this Course
No other options
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"suggest": "Robotics and Artificial Intelligence. University of Glasgow. Artificial intelligence",
"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.\n\n**WHY THIS PROGRAMME**\n\n\n- 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.\n\n\n- The University of Glasgow has been delivering world-class engineering education and research since 1840.\n\n\n- Electronic and Electrical Engineering at Glasgow is ranked 1st in Scotland (Complete University Guide 2025).\n\n\n- The School of Computing Science is ranked in the top 20 in the UK (Complete University Guide 2025).\n\n\n- 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.\n\n\n- 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.\n\n\n**PROGRAMME STRUCTURE**\n\nThe 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.\n\nYou will undertake an individual MSc project working on a specific research area with one of the academics either in Engineering or Computer Science.\n\n**Core Courses**\nSelect either Robotics M or Robotics Foundations (H)\nSelect 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\nControl M\nRobotics Team Design Project M\nMSc Project or MSc Project for Computing Science+\n\n**Optional Courses**\nDigital Signal Processing\nNavigation Systems M\nPower Electronics and Drives M\nHuman Computer Interaction Design and Evaluation (M)\nDeep Learning for MSc (M)\nAdvanced Control 5\nAutonomous Vehicle Guidance Systems M\nDynamics 5\nFault Detection, Isolation And Recovery\nReal Time Embedded Programming\nConversational Interfaces (M)\nCyberSecurity Fundamentals for MSc (M)\n\n**CAREER PROSPECTS** \n\nThe 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.\n\nTypical 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.\n\nExplore our LinkedIn profile for a flavour of where our most recent graduates work.",
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