Course summary
Learn how to design and develop autonomous systems, embedded artificial intelligence and robotics, using tools and techniques found in industry. * Our master’s is for graduates with backgrounds in electronic, electrical, or mechanical engineering or related areas looking for careers working in robotics. Combining engineering principles and advanced theory with practical application, you’ll explore robotics engineering, robotics software, machine learning, and autonomy. With a focus on project work and practical learning, you’ll learn how to solve complex engineering problems. You’ll use industry-standard platforms, tools, and software to give you hands-on experience and develop skills valuable to working in the sector. You’ll also think about your stakeholders’ needs and wider factors such as technical, economic, environmental, and social. This whole-systems approach helps you understand how to design and implement effective robotics and autonomous systems. Key benefits
- Project-based learning: get hands-on experience with industry-standard tools and sustainable design practices.
- Industry engagement: study a course that draws on our partnerships with industry to make sure content reflects sector needs
- Professional growth: develop skills for your career such as problem-solving, teamwork, communications, leadership, and analytical capabilities.
- Shape your degree: complete your studies with the choice between a research project or group consultancy project with industry.
- rapid prototyping (3D printers, laser cutting, additive manufacturing)
- advanced electronics systems design
- power electronics
- electric vehicles, robotics and autonomous systems
- advanced CNC machines and manual machining
- real-time digital simulation
- Nimbus cloud supercomputer facility
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
Assessment method
- Attendance
- Coursework
- Practical work
- Projects
- Written examination
- Other
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