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Explore AI from its history to philosophy and what it can and can’t do. You'll study machine learning, artificial neural networks, and data analysis and use industry tools including MATLAB and Jason. You'll consider ethics of AI and debate the benefits and challenges posed by AI developments.
This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.
As you start, you'll get to dive into both core computer science and specialised AI topics. The course starts with the basics like programming (in Python, Java, and C++), algorithms, software engineering, and database management, giving you a solid foundation in computing. You’ll also learn how computers work at a deeper level, studying operating systems and computer architecture. As you progress, you’ll focus more on AI, starting with an introduction to how AI systems think and solve problems. You’ll study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you’ll explore deep learning, robotics, and natural language processing (such as voice assistants). Big data and data science also play a key role, teaching you how to handle large datasets and analyse data efficiently. The degree also covers the math behind AI (probability, statistics, and calculus), and takes a look at the ethical side of AI, like privacy issues and how AI impacts society. In your final year, you’ll work on a major project, where you solve a real-world problem using AI. You may also get the opportunity for a work placement, to gain hands-on industry experience. Optional modules let you dive into areas like cybersecurity, the Internet of Things (IoT), or user-friendly AI interfaces, depending on your interests. You will also get opportunities to expand your knowledge both inside and outside of the lecture theatre. Students have previously visited sites of historical importance, including Bletchley Park, to learn more about the history of computing and how it impacted the world.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Explore AI from its history to philosophy and what it can and can’t do. You'll study machine learning, artificial neural networks, and data analysis and use industry tools including MATLAB and Jason. You'll consider ethics of AI and debate the benefits and challenges posed by AI developments.
This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.
As you start, you'll get to dive into both core computer science and specialised AI topics. The course starts with the basics like programming (in Python, Java, and C++), algorithms, software engineering, and database management, giving you a solid foundation in computing. You’ll also learn how computers work at a deeper level, studying operating systems and computer architecture. As you progress, you’ll focus more on AI, starting with an introduction to how AI systems think and solve problems. You’ll study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you’ll explore deep learning, robotics, and natural language processing (such as voice assistants). Big data and data science also play a key role, teaching you how to handle large datasets and analyse data efficiently. The degree also covers the math behind AI (probability, statistics, and calculus), and takes a look at the ethical side of AI, like privacy issues and how AI impacts society. In your final year, you’ll work on a major project, where you solve a real-world problem using AI. You may also get the opportunity for a work placement, to gain hands-on industry experience. Optional modules let you dive into areas like cybersecurity, the Internet of Things (IoT), or user-friendly AI interfaces, depending on your interests. You will also get opportunities to expand your knowledge both inside and outside of the lecture theatre. Students have previously visited sites of historical importance, including Bletchley Park, to learn more about the history of computing and how it impacted the world.
Admission Requirements
88+
6+
80+
55+
Applicants who do not meet the minimum requirements for the three-year undergraduate programme, or those who do not feel fully prepared for a degree course, can apply for a fouryear programme including a Foundation Year.
02 Aug 2026
3 Years
Sep
Tuition fees
Domestic
9,790 GBP
International
15,910 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:
BSc (Hons) Computer Science with Artificial Intelligence
36 monthsProgramme duration
15,910 GBPTuition Fee/year
02 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.
As you start, you'll get to dive into both core computer science and specialised AI topics. The course starts with the basics like programming (in Python, Java, and C++), algorithms, software engineering, and database management, giving you a solid foundation in computing. You’ll also learn how computers work at a deeper level, studying operating systems and computer architecture.
As you progress, you’ll focus more on AI, starting with an introduction to how AI systems think and solve problems. You’ll study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you’ll explore deep learning, robotics, and natural language processing (such as voice assistants). Big data and data science also play a key role, teaching you how to handle large datasets and analyse data efficiently.
The degree also covers the math behind AI (probability, statistics, and calculus), and takes a look at the ethical side of AI, like privacy issues and how AI impacts society. In your final year, you’ll work on a major project, where you solve a real-world problem using AI. You may also get the opportunity for a work placement, to gain hands-on industry experience.
Optional modules let you dive into areas like cybersecurity, the Internet of Things (IoT), or user-friendly AI interfaces, depending on your interests.
You will also get opportunities to expand your knowledge both inside and outside of the lecture theatre. Students have previously visited sites of historical importance, including Bletchley Park, to learn more about the history of computing and how it impacted the world.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.
As you start, you'll get to dive into both core computer science and specialised AI topics. The course starts with the basics like programming (in Python, Java, and C++), algorithms, software engineering, and database management, giving you a solid foundation in computing. You’ll also learn how computers work at a deeper level, studying operating systems and computer architecture.
As you progress, you’ll focus more on AI, starting with an introduction to how AI systems think and solve problems. You’ll study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you’ll explore deep learning, robotics, and natural language processing (such as voice assistants). Big data and data science also play a key role, teaching you how to handle large datasets and analyse data efficiently.
The degree also covers the math behind AI (probability, statistics, and calculus), and takes a look at the ethical side of AI, like privacy issues and how AI impacts society. In your final year, you’ll work on a major project, where you solve a real-world problem using AI. You may also get the opportunity for a work placement, to gain hands-on industry experience.
Optional modules let you dive into areas like cybersecurity, the Internet of Things (IoT), or user-friendly AI interfaces, depending on your interests.
You will also get opportunities to expand your knowledge both inside and outside of the lecture theatre. Students have previously visited sites of historical importance, including Bletchley Park, to learn more about the history of computing and how it impacted the world.
Admission Requirements
Tuition fees
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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