Description

Learn the essential skills and techniques needed to develop robotics, autonomous systems, and embedded artificial intelligence.

Our course will help you take your career forward in a progressive area of engineering. It balances advanced theory with technical skills so that you can learn to develop complete operational robotics and autonomous systems.

You’ll explore robotics engineering and software, autonomous systems technologies, processes and products throughout the industry value chain. Other areas you’ll cover include computational intelligence, machine learning, embedded systems and sensors.

Your studies will focus on tackling engineering challenges using whole-systems approaches. We’ll give you the tools to analyse and evaluate the impact of resources, processes and products. You’ll consider stakeholder needs and factors such as technical, economic, environmental and social. The focus on practical learning makes sure you have the skills to design and build robotic platforms and autonomous systems, using the same systems as those used in industry.

Learn from experts in the field

You’ll learn from academics in our Departments of Computer Science, Electronic & Electrical Engineering, and Mechanical Engineering. Their international collaborations and research expertise feed into your learning experience.

Use specialist facilities

Project work gives you access to facilities and workshops in our departments of Electronic & Electrical, Computer Science and Mechanical Engineering. These cover a range of areas including:

  • rapid prototyping (3D printers, laser cutting, additive manufacturing)
  • advanced electronics systems design
  • power electronics
  • electric vehicles, robotics and autonomous systems
  • advanced CNC machines
  • real-time digital simulation

Study Details:

MSc 1 year full-time

Module Details:

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Semester 1

  • Robotic platform engineering
  • Robotics software
  • Autonomous systems engineering
  • Humans and intelligent machines
  • 1 optional unit

Semester 2

  • Autonomous systems navigation, guidance and communications
  • Conceptual design group activity
  • Project unit 1
  • 2 optional units

Summer

  • Individual project

Optional course units

You’ll be able to choose one optional unit in your first semester and two optional units in your second semester. Here are some of the proposed optional units.

  • Embedded systems design
  • Intelligent agents
  • Intelligent control and cognitive systems
  • Artificial intelligence
  • Reinforcement learning
  • Electronic control systems design
  • Sensors and instrumentation
  • Electronic communications systems

Student Destinations

Start your future here

You’ll graduate with the skills to innovate and deliver resource-efficient practices and solutions for robotic and autonomous systems. Your knowledge will prepare you for a career in the engineering sector or for further postgraduate study and research.

Fees

Learn more via the fees and funding page: https://www.bath.ac.uk/courses/postgraduate-2020/taught-postgraduate-courses/msc-robotics-and-autonomous-systems/#fees-funding

Entry Requirements

You should have a bachelor’s honours degree or international equivalent, typically a high 2:2 or above.

To apply for this course, you should have an undergraduate degree in electronic and electrical engineering, automotive engineering, mechanical engineering, vehicle engineering or mechatronics.

Please see our website for how to apply

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Please see our website for how to apply


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University of Bath

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