36 monthsProgramme duration
33,400 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
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 exhibit intelligent behaviour, but also have the ability 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 transformative technology is encouraging new avenues for creativity and problem-solving and is helping us tackle difficult and urgent social and environmental challenges. 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 course provides 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 act as stakeholders on projects and provide insight into the use of AI across various sectors like software development, pharmaceutical, energy, Formula One racing, investment and consultancy. Early on in your degree, you will also engage with an industrial mentor, allowing you to gain individual insights and advice during your studies.
The programme will train you to become an adept AI Engineer, with hands-on experience and the expertise to apply modern machine learning to diverse domains including health, robotics, finance, manufacturing and design.
You will become a responsible problem solver 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.
Today, Artificial Intelligence stands at the forefront of technological innovation, encompassing the design and refinement of algorithms that exhibit intelligent behaviour, but also have the ability 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 transformative technology is encouraging new avenues for creativity and problem-solving and is helping us tackle difficult and urgent social and environmental challenges. 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 course provides 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 act as stakeholders on projects and provide insight into the use of AI across various sectors like software development, pharmaceutical, energy, Formula One racing, investment and consultancy. Early on in your degree, you will also engage with an industrial mentor, allowing you to gain individual insights and advice during your studies.
The programme will train you to become an adept AI Engineer, with hands-on experience and the expertise to apply modern machine learning to diverse domains including health, robotics, finance, manufacturing and design.
You will become a responsible problem solver 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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
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 exhibit intelligent behaviour, but also have the ability 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 transformative technology is encouraging new avenues for creativity and problem-solving and is helping us tackle difficult and urgent social and environmental challenges. 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 course provides 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 act as stakeholders on projects and provide insight into the use of AI across various sectors like software development, pharmaceutical, energy, Formula One racing, investment and consultancy. Early on in your degree, you will also engage with an industrial mentor, allowing you to gain individual insights and advice during your studies.
The programme will train you to become an adept AI Engineer, with hands-on experience and the expertise to apply modern machine learning to diverse domains including health, robotics, finance, manufacturing and design.
You will become a responsible problem solver 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.
Today, Artificial Intelligence stands at the forefront of technological innovation, encompassing the design and refinement of algorithms that exhibit intelligent behaviour, but also have the ability 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 transformative technology is encouraging new avenues for creativity and problem-solving and is helping us tackle difficult and urgent social and environmental challenges. 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 course provides 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 act as stakeholders on projects and provide insight into the use of AI across various sectors like software development, pharmaceutical, energy, Formula One racing, investment and consultancy. Early on in your degree, you will also engage with an industrial mentor, allowing you to gain individual insights and advice during your studies.
The programme will train you to become an adept AI Engineer, with hands-on experience and the expertise to apply modern machine learning to diverse domains including health, robotics, finance, manufacturing and design.
You will become a responsible problem solver 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.
Admission Requirements
168+
6.5+
38+
88+
67+
Typical offer
A-level standard offer: A*AA including Mathematics
A-level contextual offer: AAB including A in Mathematics
English language requirements
If English is not your first language, you need to have one of the following:
• IELTS 6.5 overall with 6.0 in all skills
• GCSE English Language grade C or 4
• an alternative qualification outlined in our Profile level E.
A-level standard offer: A*AA including Mathematics
A-level contextual offer: AAB including A in Mathematics
English language requirements
If English is not your first language, you need to have one of the following:
• IELTS 6.5 overall with 6.0 in all skills
• GCSE English Language grade C or 4
• an alternative qualification outlined in our Profile level E.
3 Years
Sep
Tuition fees
Domestic
9,790 GBP
International
33,400 GBP
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