Course summary
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 robots 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 considerations. The focus on practical learning ensures 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. Your learning experience will benefit from their expertise in our Centre for Autonomous Robotics (CENTAUR), where they are advancing research and building international collaborations in this area. 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
Modules
Semester 1 Compulsory units
- Robotic platform engineering
- Robotics software
- Autonomous systems engineering
- Humans and intelligent machines
- Embedded systems design
- Autonomous systems navigation, guidance and communications
- Conceptual design group activity
- Project unit 1
- Artificial intelligence
- Reinforcement learning
- Electronic communications systems
- Individual project
- Professional practice placement
How to apply
International applicants
English language requirements IELTS: 6.5 overall with no less than 6.0 in all components The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element TOEFL IBT: 90 overall with a minimum 21 in all 4 components You will need to get your English language qualification within 24 months prior to starting your course. If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
Entry requirements
See University website
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
Provider information
University of Bath
Claverton Down
Bath
BA2 7AY