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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.
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 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.
Admission Requirements
67+
88+
6.5+
38+
3 Years
Sep
Domestic
9,250 GBP
International
32,500 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
BEng Artificial Intelligence
# 51-100QS Subject Rankings
36 monthsProgramme duration
32,500 GBPTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
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.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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MSc Public Policy
MSc Social Science Research Methods (Politics)
MSc Social Science Research Methods (Politics)
MSc Social Science Research Methods (Sociology)
MSc Social Science Research Methods (Sociology)
MSc Social Work
MSc Social Work
MSc Social Work Research
MSc Social Work Research
MSc Social and Cultural Theory
MSc Social and Cultural Theory
MSc Society, Politics and Climate Change
MSc Society, Politics and Climate Change
MSc Socio-Legal Studies
MSc Socio-Legal Studies
MSc Sociology
MSc Sociology
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Nutrition, Physical Activity and Public Health
MSc Nutrition, Physical Activity and Public Health
Arts and Humanities (6)
PhD Anthropology and Archaeology
PhD Anthropology and Archaeology
PhD Classics and Ancient History
PhD Classics and Ancient History
PhD Creative Writing
PhD Creative Writing
PhD English Literature
PhD English Literature
PhD French
PhD French
PhD German
PhD German
PhD Hispanic, Portuguese and Latin American Studies
PhD History
PhD History of Art
PhD Italian
PhD Linguistics
PhD Medieval Studies
PhD Music
PhD Philosophy
PhD Religion and Theology
PhD Russian
PhD Theatre and Performance
PhD Translation
PhD Comparative Literatures and Cultures
Business and Management (6)
PhD Accounting and Finance
PhD Accounting and Finance
PhD Economics
PhD Economics
PhD Innovation and Entrepreneurship
PhD Innovation and Entrepreneurship
PhD Management
PhD Management
Engineering and Technology (6)
PhD Aerospace Engineering
PhD Aerospace Engineering
PhD Civil Engineering
PhD Civil Engineering
PhD Computer Science
PhD Computer Science
PhD Cyber Security (Cyber Secure Everywhere)
PhD Cyber Security (Cyber Secure Everywhere)
PhD Electrical and Electronic Engineering
PhD Electrical and Electronic Engineering
PhD Engineering Biology
PhD Engineering Biology
PhD Geographic Data Science
PhD Mechanical Engineering
PhD Practice-Oriented Artificial Intelligence
PhD Quantum Information Science and Technologies
Life Sciences and Medicine (6)
DEdPsy Educational Psychology
DEdPsy Educational Psychology
PhD Biochemistry
PhD Biochemistry
PhD Biological Sciences
PhD Biological Sciences
PhD Cellular and Molecular Medicine
PhD Cellular and Molecular Medicine
PhD Disability Studies
PhD Disability Studies
PhD Exercise, Nutrition and Health
PhD Exercise, Nutrition and Health
PhD Oral and Dental Sciences
PhD Physiology, Pharmacology and Neuroscience
PhD Population Health Sciences
PhD Psychology
PhD Translational Health Sciences
PhD Veterinary Sciences
PhD Health and Wellbeing
Natural Sciences (6)
EngD Composites Manufacture
EngD Composites Manufacture
PhD Advanced Composites
PhD Advanced Composites
PhD Aerosol Science
PhD Aerosol Science
PhD Chemistry
PhD Chemistry
PhD Earth Sciences
PhD Earth Sciences
PhD Engineering Mathematics
PhD Engineering Mathematics
PhD Geographical Sciences (Human Geography)
PhD Geographical Sciences (Physical Geography)
PhD Mathematics
PhD Physics
PhD Superconductivity
PhD Technology Enhanced Chemical Synthesis
PhD Sustainable Futures
Social Sciences and Management (6)
PhD East Asian Studies
PhD East Asian Studies
PhD Education
PhD Education
PhD Global Challenges and Transformations
PhD Global Challenges and Transformations
PhD Law
PhD Law
PhD Politics
PhD Politics
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Sociology
PhD Sociotechnical Futures and Digital Methods
PhD Film and Television