Course summary
Emerging technologies such as self-driving cars or reusable spacecraft or Drones are increasingly relying on the design and deployment of autonomous systems. This programme will prepare you to face the challenges of a global market with emphasis on autonomous vehicles and mobile robots operating in ground, air, and space. You will gain in-depth knowledge of recent advances in the theory and practice of Robotics, Machine Learning, Image Processing, Human-Machine Teaming, Communication, and Control. You will also develop valuable software and hardware skills via extensive lab work in programming and embedded systems design, through industrial design projects. In addition to the technical part of the programme, you will be introduced to the legal and regulations framework of Autonomous Systems, and the ethical issues arising from their deployment.
Modules
Full-time students will attend all the taught modules during terms one and two, and complete their dissertation project within the 12-month period of the degree. Part-time students attend half the modules in a first 12-month period, followed by the other half the next year and complete their dissertation project in the second year. Term 1
- Advanced Signal Processing and Communications (15 credits)
- Robotics, Imaging and Vision (15 credits)
- Engineering Programming (15 credits)
- System Dynamics, Propulsion and Control (15 credits)
- Embedded Systems (15 credits)
- Machine/Machine, Human/Machine Teaming (15 credits)
- Machine Learning (15 credits)
- AI for Engineering Design Projects (15 credits)
- Regulations and Ethics for Autonomous Systems (5 credits)
Assessment method
You will learn through a series of lectures, design projects, tutorials, laboratory work, and seminars. Lectures and seminars provide a solid theoretical understanding and will be delivered by Academics and Industrialists with expert knowledge in the field. Assessment of the programme modules comprises written examinations and laboratory coursework. Each individual module coursework will require some design activities and will be combined with the written module examination to provide an overall module mark. The Individual Project is assessed primarily through a dissertation on a topic related to Autonomous Systems but with contributions from an interim report, work carried out during the project period and oral examination.
Entry requirements
The programme is designed for those who have a second class degree, as minimum, in engineering and computer science. Applicants with a background in mathematics or life sciences with good mathematical skills (in linear algebra and calculus in particular) will also be considered. Competence in an object-oriented programming language (preferable Python) is desirable.
Fees and funding
Tuition fees
| England | £10110 | Year 1 |
| Northern Ireland | £10110 | Year 1 |
| Scotland | £10110 | Year 1 |
| Wales | £10110 | Year 1 |
| EU | £20760 | Year 1 |
| International | £20760 | Year 1 |
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
City, University of London
Northampton Square
City of London
EC1V 0HB