Machine Learning and Autonomous Systems

Entry requirements

You should have a first or second-class bachelor’s honours degree or international equivalent. To apply for this course, you should have an undergraduate degree in a course that incorporates a strong element of both mathematics and computing such as mathematics, computer science or engineering.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Months of entry

September

Course content

Intelligent and autonomous systems are increasingly important in all areas of human life and activity from medicine and space exploration to agriculture and entertainment.

Understanding and developing autonomous systems involves a range of skills and knowledge including designing interactive systems with both human and machine elements, and modelling and building systems that can sense and learn.

Machine learning is at the heart of autonomous and intelligent systems, including computer vision and robotics. It also underpins the recent developments in data analytics across many fields.

You will learn to use new knowledge to solve complex machine learning and autonomous systems problems. You’ll develop a range of skills including the theory of machine learning, artificial intelligence, autonomous systems design and engineering, and the implications for humans of interacting more and more with intelligent and autonomous systems.