Artificial Intelligence (Taught)

This course is designed to bridge academic excellence with industry relevance, leveraging our strong partnerships with leading AI organisations and technology providers such as Google DeepMind, Cisco and Switchshop. Through hands-on projects, you will work with real-world datasets and advanced tools, including frameworks like TensorFlow, PyTorch and OpenCV. You will also benefit from guest lectures, workshops and industry-led assessments, ensuring your learning is deeply rooted in current and future industry demands.

Partnerships and collaborations
This course has been developed in close collaboration with industry. You also work on projects with industry collaborators such as Switchshop and L-Acoustics, providing first-hand experience of how the industry operates and allowing you to apply your skills in real-world contexts.

Facilities and specialist equipment

• State-of-the-art computer labs in our modern, purpose-built STEM building

• High-performance computing resources (HPCs)

• AI research laboratory with specialist equipment and software, including a powerful AI computer

• AI innovation hub

• Cutting-edge robotics systems

Student experience
Develop advanced analytical and technical skills in AI, including machine learning, neural networks and data analytics as well as project-management and problem-solving skills.

Apply your skills to solve today’s most pressing social issues in AI locally, nationally and internationally.

Gain a portfolio of live industry projects working with leading AI companies including our partners Switchshop.

Study in a School with a history of success in AI education and research, with faculty members whose written texts on AI are now used to teach the subject and AI researchers in the top 2% in their field in the world.

Benefit from guest lectures by professionals from leading AI companies, gaining valuable industry insights.

Course modules

Natural language processing and generative AI – Explore cutting-edge AI approaches to understanding and generating human language, including transformer models, large language models and generative algorithms like GANs.

Applications for artificial intelligence – Apply advanced AI methods to solve real-world problems across domains such as healthcare, finance, robotics and intelligent automation.

Intelligent systems and data mining – Learn how to design intelligent agents and systems that learn from data, with emphasis on techniques like classification, clustering and evolutionary algorithms.

Research methodologies and project management – Develop the research skills and project-planning techniques required for successful AI system development and academic research, preparing you for your final project.

MSc project: Artificial Intelligence – Undertake a substantial independent research or development project in an area of AI that interests you, showcasing your ability to design, implement and evaluate a sophisticated AI system or study.

We make every effort to ensure the information here is accurate; however, for the most up-to-date information, visit our website.