Taught course

Intelligent Robotics

University of York · Department of Electronics

Entry requirements

You will need to have the equivalent of a 2:1 honours degree, or above, from a university recognised by the University of York. This degree should either be in computer science, computer science/mathematics joint honours, electronic engineering, mechanical engineering or a related subject. We are willing to consider applications from students with lower qualifications, particularly if you have high marks in relevant modules or appropriate industrial experience.

Months of entry


Course content

Robots are on the rise. They're present in many areas of everyday life including autonomous transportation, farm machinery, medical and environmental applications and logistics.

Developing robots that are capable of adapting and learning from experience is a significant driver in the robotics industry and is at the cutting edge of research development. This course will provide you with the tools and skills necessary to become a leader in these expanding areas. Through lectures and hands-on experience, you will learn about the development of mechanisms, control systems, algorithms that can learn and adapt, and swarm systems (multiple robots working together). You'll get to experience the liveliness of this exciting field first hand.

At York, we place a strong focus on practical implementation, both in hardware and simulation. Your course will culminate in a large research project focussed on collective robotic systems, ranging from ground-based units to flying robots and new mechanisms at variable scales for manufacturing. You will work in a state of the art, dedicated robotics laboratory for some modules and the final project (see the York Robotics Laboratory website for more details). We provide excellent support for low level skills, such as programming, to high level skills, for example problem identification and solution development.

We will prepare you for employment in robotic and autonomous systems, related industries, and equip you to pursue further research into intelligent robotics.

Qualification and course duration


full time
12 months

Course contact details

Postgraduate Administrator
+44 (0) 1904 324485