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.

If your first language is not English but within the last 2 years, you completed your degree in the UK, you may be exempt from our English language requirements.

Months of entry

September

Course content

Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a wide range of careers in industry.

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.

You will be taught by academics from the Department of Computer Science with expertise in machine learning, autonomous systems, artificial intelligence and human-computer interaction. This course has been designed in collaboration with the Department of Electronic and Electrical Engineering who offer expertise in robotics.

You will study in a research-led department with a supportive postgraduate community. You’ll learn in our bespoke computer laboratory and be exposed to the latest ideas and technology. The department has strong links to industry both nationally and internationally.

With machine learning and autonomous systems forming an essential part of a number of key industries, our MSc graduates will be highly sought after by employers.

You’ll gain the knowledge and transferable skills for a career in a wide range of industries, or for further study at PhD level. Graduates from the department have gone on to work in a wide variety of sectors, including IT consultancy, software development, banking and education.

Find out more on our website.

Information for international students

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

Fees and funding

Your tuition fees and how you pay them will depend on whether you are a Home, EU, Island or Overseas student.

See the most recent fees for postgraduate courses.

Qualification and course duration

MSc

MSc with Placement