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  • DeadlineStudy Details:

    MSc: 12 months full-time

Course Description

The Masters in Robotics & Artificial Intelligence introduces you to the main technologies underlying the development of robotic and intelligent systems 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 5th in the UK and 1st in Scotland (Complete University Guide 2020: Electrical & Electronic Engineering).
  • The School of Computing Science is ranked 7th in the UK (Complete University Guide 2020: Computer Science).
  • Mechanical Engineering at Glasgow is ranked 9th in the UK (Complete University Guide 2020: Mechanical Engineering).
  • 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.

Entry Requirements

A 2.1 equivalent degree (GPA 3.0) in a relevant subject.

Students with a 2.2 equivalent degree (GPA 2.7), but 2.1 equivalent marks in their maths and core theory subjects may be considered for entry.

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Fees

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Student Destinations

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.

Module Details

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