Taught course

Autonomous Robotic Intelligent Systems

Institution
University of Strathclyde · Department of Electronic and Electrical Engineering
Qualifications
MSc

Entry requirements

Normally a first-class or second-class honours degree (or international equivalent) in electronic, electrical, communications or design manufacture engineering, or a science-related subject.

Months of entry

September

Course content

  • Learn about the technologies for autonomous control and machine learning, with applications spanning robotics, sensor networks and digital manufacturing
  • Study the new emerging self-sustaining and intelligent devices for IOT and industry 4.0 environments.

Our Masters in Autonomous Robotic Intelligent Systems is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines. UK growth in the global robotics market is forecast to reach £13 billion by 2025 and this offers huge job opportunities.

The course focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Course Admissions
Email
eng-admissions@strath.ac.uk
Phone
+44 (0)141 574 5484