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Artificial Intelligence

1 Study option · UndergraduateMain Site

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.

How to apply

Application codes

Course code:
G164
Institution code:
B78

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

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Student Outcomes

Operated by the Office for Students

70 Employment after 15 months (Most common jobs)

86 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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