MSc Applied Machine Learning

Gain the skills to design, implement and evaluate machine learning systems.

During this course, you will focus on applying machine learning to electrical engineering. Applications include robotics, computer vision bio-inspired learning, communication and signal processing.

This course is perfect if you’re interested in developing real-world systems. These will involve signals, sensors and hardware, such as robots or communication devices.

Address the challenge of how automated systems can learn from signals and data as they operate in real environments.

Learn through specialised modules including a specialised computer laboratory module. These allow you to develop practical skills with industrial input and your own individual project.

Learn the theoretical basis for machine learning systems, design methods and algorithms for modelling real systems

Equip yourself to a range of careers. These could involve the design, modelling, analysis and control of intelligent signal and data processing

Develop advanced knowledge of machine and deep learning in engineering

Gain skills that enable you to continue your studies to PhD level

Through the course, you will learn from field-leading staff. You will gain a critical awareness of current issues, research and their applications. Applying different methodologies, you will tackle complex issues systematically and creatively.