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Autonomous and Intelligent Systems MSc

Autonomous and Intelligent Systems MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

30-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Expert Systems

Course type

Taught

Course Summary

This specialist masters is ideal if you have previously studied control, mechatronics or robotics. You’ll learn advanced topics in control and systems engineering with an emphasis on system autonomy and intelligence.

Course description

As the need and scope for robots and machine intelligence in all aspects of society grows, so does the market for those trained in automation and systems engineering, especially those with a background in Autonomous and Intelligent Systems.

The course covers all major aspects of control and systems engineering with an emphasis on system autonomy and intelligence. Autonomous systems is a fast changing area and has applications in a range of modern engineering disciplines including computer science, mechanical engineering, electrical and electronic engineering and materials science engineering.

You’ll develop an extensive understanding of the field of autonomous and intelligent systems, studying subjects such as artificial intelligence, autonomous agents, evolving intelligent systems and intelligent control theory.

Through lab work, you will get hands-on experience of working with various types of autonomous and intelligent systems, and have the opportunity to build a system from scratch using the specialist labs in the University.

You’ll also work on a research-level dissertation project of your own. You’ll be able to pick an area you are passionate about and develop a solution to a real world problem in the area. You may choose from a range of project ideas, including bionic systems, manufacturing lines, autonomous vehicles or drones. Your project supervisor - an academic dedicated to helping you with your project - will support you.

Accreditation

Accredited by the Engineering Council UK, Institution of Engineering and Technology and the Institute of Measurement and Control.

Please see our University website for the most up-to-date course information.

Modules

An important field within artificial intelligence is machine learning, which enables systems to learn from data rather than being explicitly programmed to solve a task. Conventional machine learning algorithms tend to rely on a human to carefully engineer and extract features to present to a machine learning algorithm, which can be time-consuming and difficult. A deep learning system, by contrast, takes raw data as input and learns to extract features automatically. This approach has led to significant improvements in processing images, video, speech and audio. Deep learning has also had an impact on the design of intelligent agents, giving rise to the area of deep reinforcement learning, which is where an agent learns in a reward-based framework. An example of deep reinforcement learning is where the Google DeepMind team designed an agent that learned to play Atari computer games to better-than-human-expert level.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£13,000

International fees
Course fees for EU and international students

For this course (per year)

£29,700

Entry requirements

Minimum 2:1 undergraduate honours degree in control engineering or a related subject. We may also consider your application if you have a considerable level of relevant professional experience.