Course summary

In this three-year course, you will learn to understand and apply Artificial Intelligence. You'll learn from our world-class researchers as they develop new algorithms and apply AI to innovations in healthcare, finance, environmental modelling, robotics and the technologies of the future. Today Artificial Intelligence stands at the forefront of technological innovation, encompassing the design and refinement of algorithms that not only exhibit intelligent behavior but also possess the capacity to adapt and learn dynamically from feedback, evidence, and data. Machine learning is at the heart of modern AI and is a rapidly advancing field with an expanding toolbox of new algorithms for modelling, forecasting and classification in complex application domains. This technology has huge transformative potential, providing new avenues for creativity and problem-solving, and helping us to tackle the difficult and urgent social and environmental challenges that define the 21st century. However, it also opens new ethical, philosophical and regulatory issues that must be faced head-on to ensure fairness and to prevent potential harm. This interdisciplinary Bachelor of Engineering in AI aims to provide a broad and in-depth understanding of modern AI and machine learning, at both applied and foundational levels. You will be taught by experts in AI and machine learning as well as practitioners with extensive experience of applying AI in their domain. You will interact with our industrial partners who will provide insight into the use of AI in sectors including software development, pharmaceutical, energy, Formula One racing, investment and consultancy, and act as stakeholders on projects. Furthermore, you will have an industrial mentor from whom you can gain individual insights and advice during your studies. The programme will train you to become an adept AI Engineer with extensive hands-on experience and the expertise to apply modern machine learning to diverse application domains including health, robotics, finance, manufacturing and design. You will become responsible problem solvers in AI and machine learning. For this, you will learn how to programme and manage data at scale; you will study the mathematics that underpins AI, so that you can understand its strengths and limitations; you will develop problem-solving skills, by working in teams and individually on challenging open-ended real-world problems; and you will explore the new ethical and legal challenges that AI brings. When you graduate, you will be ideally placed to play pivotal roles in the AI transformation of our economy and society, ensuring that this new technology is used effectively and with care.