Bachelors in Artificial Intelligence Programs in the UK: Top 16

16 of the 118 Bachelor's Artificial Intelligence programmes educads records in the UK, one from each of 16 universities, with the facts we hold for each one.

How this list is ordered: Ordered by each university's QS World University Rankings position where it has one, then by research citations recorded by OpenAlex; one programme per university, and universities with neither measure are left out.

1 Artificial intelligence

Imperial College London · London

  • DeliveryOn campus
  • Study modeFull time
  • Research citations46,777,975

Imperial College London’s Artificial intelligence subject area describes how computing can simulate human intelligence to solve complex problems. The page positions artificial intelligence through work tied to machine learning, robotics, and augmented reality and cognition, with applications across sectors such as medicine and business.The page presents Imperial courses across undergraduate and postgraduate taught options, including training in programming and the fundamentals of artificial intelligence, and study that combines AI with fields such as economics, policy, and data science. Course start dates and specific structures are listed for individual degrees, while this subject page highlights expertise supported by a network of 20+ AI-related research groups and centres.

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2 Applied Artificial Intelligence

Queen Mary University of London · London

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • Starts2027
  • Research citations13,957,675

The Bachelor's Degree in Applied Artificial Intelligence at Queen Mary, University of London is designed to equip students with a solid understanding of AI technologies and their applications. The course covers a comprehensive range of topics including machine learning, data analysis, robotics, and cognitive computing. Students will engage in hands-on projects that enhance their problem-solving skills and creativity, ensuring they are well-prepared for real-world challenges.This program is structured to blend theoretical knowledge with practical application. Core modules include algorithms for AI, programming for data science, and ethical implications of AI technology. Additionally, elective modules allow students to tailor their learning to specific interests within the AI field. The curriculum encourages collaboration and interdisciplinary learning, reflecting the growing need for AI professionals across various sectors.By studying in the United Kingdom, students gain access to a vibrant tech ecosystem, innovative research opportunities, and a diverse community. The country is a leader in AI research and application, which provides unique networking and career development possibilities. Graduates will not only come away with technical skills but also a deep understanding of the societal impacts of artificial intelligence.

From the programme record

  • Machine Learning Engineer
  • Business Intelligence Analyst

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3 Computer Science (Artificial Intelligence)

Royal Holloway and Bedford New College

  • DeliveryOn campus
  • Study modeFull time
  • Duration3 years
  • StartsFall, Spring
  • Research citations3,996,593

The Bachelor’s Degree in Computer Science with a focus on Artificial Intelligence at Royal Holloway University of London provides students with a comprehensive understanding of computer science fundamentals while diving into the intricacies of AI. The course covers essential topics such as programming, algorithms, data structures, machine learning, and natural language processing, ensuring students acquire both theoretical knowledge and practical skills. Students will benefit from a well-structured curriculum, which integrates lectures, hands-on labs, and group projects. This interactive approach allows for the application of learned concepts in real-world scenarios, fostering creativity and innovation. Additionally, students will engage in teamwork and problem-solving exercises that enhance their communication and interpersonal skills, which are vital in today’s collaborative work environments. Studying this course in the UK, particularly in a vibrant academic city like London, offers a unique opportunity to experience a rich blend of cultures and access to industry-leading technology and research organizations. Royal Holloway's renowned faculty members and state-of-the-art facilities further create an ideal learning environment.

From the programme record

  • Machine Learning Specialist
  • Business Intelligence Analyst

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4 Artificial Intelligence

University of Huddersfield

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations781,247

The University of Huddersfield offers Artificial Intelligence postgraduate study through the Artificial Intelligence MSc and related distance learning options. Students study topics connected to artificial intelligence and can choose a route that fits their goals, including studying remotely through distance learning courses.Huddersfield states that its Artificial Intelligence courses are informed by research in the field and include specialist facilities for on-campus study. Alternatively, students can choose distance learning options, including the Artificial Intelligence MSc (Distance Learning), Artificial Intelligence PgCert (Distance Learning), and Artificial Intelligence PgDip (Distance Learning).The University of Huddersfield connects its Artificial Intelligence learning to careers in areas such as machine learning, robotics, and natural language processing, and it names employers including leading tech companies, innovative startups, research institutions, healthcare organisations, and the automotive industry.

From the programme record

  • natural language processing

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5 BSc (Hons) Computer Science (Artificial Intelligence)

University of Plymouth

  • DeliveryOn campus
  • Study modeFull time
  • Duration3 years
  • StartsFall, Spring
  • Research citations2,308,524

The BSc (Hons) Computer Science (Artificial Intelligence) program at the University of Plymouth offers a comprehensive understanding of computing principles, focusing specifically on the ever-evolving field of artificial intelligence. The course covers a range of topics, including programming, algorithms, data structures, and AI methodologies. Students will engage with real-world projects, allowing them to understand the practical applications of computer science theories in today's technology-driven environment.Throughout the program, students will participate in hands-on learning experiences using state-of-the-art facilities and technologies. The curriculum is designed to build essential skills in problem-solving, critical thinking, and software development while fostering creativity and innovation. Students will also have opportunities to specialize in specific areas of AI, such as machine learning, natural language processing, and robotics.Studying in the UK, particularly at the University of Plymouth, provides an enriching cultural experience and access to a vibrant tech ecosystem. The country is home to a wealth of technology companies and research institutions, offering students numerous networking opportunities and the potential for internships and employment after graduation.

From the programme record

  • Artificial Intelligence Engineer
  • Machine Learning Developer

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6 Artificial Intelligence and Business Analytics with a Year in Industry

University of Liverpool

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsSeptember 2027
  • Research citations18,971,242

The Bachelor's Degree in Artificial Intelligence and Business Analytics with a Year in Industry at the University of Liverpool is designed to equip students with the cutting-edge knowledge and skills necessary to excel in the rapidly evolving fields of AI and business analytics. This program delves into foundational topics such as machine learning, data science, data management, and artificial intelligence, providing students with an extensive understanding of how these technologies can be applied within the business context. The course structure typically includes a mix of theoretical frameworks, practical applications, and real-world projects. Throughout the degree, students engage in modules that cover statistical analysis, programming for AI, business intelligence, and ethical considerations in technology. A distinct feature of this program is the Year in Industry, allowing students to gain invaluable hands-on experience with organizations in the sector, fostering connections and applying their learning in real-world settings. Studying this course in the UK, particularly at the University of Liverpool, offers students a unique opportunity to immerse themselves in a vibrant academic community renowned for its research and innovation.

From the programme record

  • Business Intelligence Consultant
  • Machine Learning Engineer
  • Business Analytics Manager
  • Strategist for AI-Driven Solutions

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7 Computer Science with Artificial Intelligence

Keele University

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations2,436,240

The Bachelor's Degree in Computer Science with Artificial Intelligence at Keele University offers a comprehensive curriculum designed to equip students with the foundational knowledge and practical skills necessary to excel in the ever-evolving tech industry. This course combines core computing principles with advanced concepts in artificial intelligence, allowing students to understand both the theoretical frameworks and real-world applications of AI technologies. Students will gain experience in programming, data structures, algorithms, and software development, which are essential competencies for modern computer scientists. Throughout the course, students will explore a diverse range of topics including machine learning, natural language processing, and intelligent systems design. The program emphasizes hands-on learning through projects and collaborative work, enabling students to apply their knowledge in practical scenarios. Additionally, Keele University's state-of-the-art facilities and resources enhance the learning experience, ensuring students are well-prepared for their future careers. Studying in the UK exposes students to a vibrant international community and a rich cultural experience. Keele University's supportive environment and various extracurricular activities foster personal growth and networking opportunities.

From the programme record

  • Machine Learning Engineer

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8 Artificial Intelligence (Extended Degree) BSc (Hons)

Northumbria University

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations1,475,484

Northumbria University’s Artificial Intelligence (Extended Degree) BSc (Hons) builds theoretical and technical knowledge in artificial intelligence, machine learning, computer vision, and evolutionary computation. Students also study core computer programming, algorithms and data structures, data management, cloud computing, and topics including artificial intelligence, computer vision, robotics and automation, and machine learning.The extended degree route includes a foundation year delivered at level 3 that introduces computing and information science and supports study in higher education. After the foundation year, students follow accredited subsequent levels. The course includes options for a placement year or studying abroad and supports real-world experience through a business consultancy project and, in final year, a group computing project plus a dissertation.

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9 Artificial Intelligence (including Foundation Year)

London Metropolitan University

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsSeptember 2027
  • Research citations325,129

The Bachelor's Degree in Artificial Intelligence (including Foundation Year) at London Metropolitan University is designed to equip students with essential skills in the growing field of AI. This program covers a broad range of topics including machine learning, data analytics, and robotics, providing students with a robust understanding of both theoretical principles and practical applications. The curriculum is structured to gradually increase complexity, starting with foundational concepts before advancing to specialized AI techniques.In the Foundation Year, students gain critical skills in programming, mathematics, and computer science, laying the groundwork for more sophisticated topics in artificial intelligence. Throughout the course, students engage in hands-on projects and collaborative assignments, which foster a practical learning environment. This experiential learning approach ensures that students not only grasp theoretical knowledge but also how to apply it in real-world scenarios.Studying AI in London offers a unique advantage due to its status as a global tech hub. Students will have opportunities to connect with industry leaders, partake in internships, and gain insight into cutting-edge AI research. As AI continues to evolve, the demand for skilled professionals in this field is rapidly increasing, making it an attractive career prospect.

From the programme record

  • Machine Learning Engineer

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10 Artificial Intelligence & Machine Learning

Roehampton University of Surrey

  • DeliveryOn campus
  • Study modeFull time
  • Duration3 years
  • StartsSeptember 2026
  • Research citations302,710

The Bachelor's Degree in Artificial Intelligence & Machine Learning at Roehampton University of Surrey offers students a comprehensive understanding of the core concepts, techniques, and applications of AI and ML. The program delves into the principles of machine learning, neural networks, natural language processing, and robotics. Through a mixture of theoretical and practical approaches, students engage with real-world data and develop innovative solutions to complex issues.The typical structure of the course includes a combination of lectures, workshops, and project-based assignments, ensuring students gain hands-on experience with industry-standard tools and technologies. Core modules may cover areas such as data analytics, algorithm design, and ethical considerations in AI. The emphasis on teamwork and collaborative projects helps students develop critical soft skills that are essential in today’s technology-driven landscape.By studying in the UK, particularly at Roehampton University, students benefit from the rich academic culture and access to leading experts in the field. The UK's diverse technology sector, from startups to established tech giants, provides numerous networking opportunities, internships, and job prospects for graduates.

From the programme record

  • Machine Learning Engineer
  • Business Intelligence Analyst

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11 BSc (Hons) Computer Science Artificial Intelligence

Edge Hill University · England

  • DeliveryOn campus
  • Study modeFull or part time
  • Starts3 years
  • Research citations221,046

Artificial intelligence, the science of simulating human intelligence using computers, is one of the fastest growing fields of technological development. It involves studying the principles and mechanisms underlying intelligent human processes and attempting to apply this knowledge to the design of computer-based systems. Placing you at the heart of cutting-edge technology, this degree immerses you in artificial intelligence and the related aspects of computer science. You will acquire key skills and practical experience in the core disciplines of programming, mathematics, autonomous smart systems and data analytics. Developing and evaluating tools and techniques for real-world applications and solutions, you will be immersed in rapidly evolving computing and sensing technologies, such as robotics, and obtain the professional abilities needed to operate with confidence in a challenging multi-disciplinary environment.

Entry requirements, as the university states them

  • BTEC Extended Diploma (or combination of BTEC QCF qualifications): Distinction, Merit, Merit (DMM);
  • T Level: Overall grade of Merit;
  • International Baccalaureate (IB): We are happy to accept IB qualifications which achieve the required number of UCAS Tariff points;

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12 BSc (Hons) Artificial Intelligence with foundation year

University of Bolton

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations190,875

The BSc (Hons) Artificial Intelligence with foundation year at the University of Bolton is designed to introduce students to the fundamental concepts and techniques of artificial intelligence, along with providing a solid foundation in IT, computer science, and mathematics. The program covers a wide array of topics, including machine learning, natural language processing, and computer vision, equipping students with both theoretical knowledge and practical skills. With a focus on hands-on learning, students will engage in projects that reflect real-world applications of AI, enabling them to create relevant solutions in various sectors.This degree program typically begins with a foundation year that prepares students for the rigors of higher education. It focuses on developing essential skills such as critical thinking, problem-solving, and technical proficiency in programming languages. Over the course of the program, students will gain expertise in working with AI technologies, data management, and software development, preparing them to thrive in a fast-evolving job market.Studying at the University of Bolton offers students an excellent environment enriched with diverse cultures and innovative technologies. The country’s strong emphasis on research and development in AI provides a unique backdrop for students to immerse themselves in cutting-edge advancements.

From the programme record

  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Software Engineer in AI Applications

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13 BSc (Hons) Artificial Intelligence and Business Analytics

University of Cumbria

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsJanuary & September
  • Research citations94,136

The BSc (Hons) Artificial Intelligence and Business Analytics program at the University of Cumbria combines the exciting realms of artificial intelligence with data-driven business analysis. This interdisciplinary course is designed to equip students with both the technical skills necessary to develop AI solutions and the analytical skills to implement these solutions in business contexts. The curriculum covers various topics, including machine learning, data mining, and statistical analysis, tailored to meet the demands of the technology-driven marketplace. Students will engage in hands-on projects that promote real-world application of AI tools and business analytics methodologies. Through collaborative work and innovative problem-solving, students will learn how to interpret large datasets and make informed business decisions. The course also emphasizes the development of essential skills such as critical thinking, effective communication, and teamwork, which are invaluable in today’s competitive job market. Studying at the University of Cumbria not only provides students with a robust academic foundation but also immerses them in a vibrant cultural environment. The UK is a global leader in technology and education, offering students the opportunity to learn from industry experts and gain insights into the latest trends in AI and analytics.

From the programme record

  • Business Intelligence Consultant
  • Machine Learning Engineer

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14 Computer Science with Artificial Intelligence BSc (Hons)

Leeds Trinity University

  • DeliveryOn campus
  • Study modeFull time
  • Duration3 years
  • Starts2027
  • Research citations37,398

The BSc (Hons) in Computer Science with Artificial Intelligence at Leeds Trinity University provides a comprehensive foundation in the principles of computer science combined with advanced knowledge in artificial intelligence (AI). This degree covers core areas such as programming, algorithms, data structures, and the theoretical foundations of computing, alongside specialized modules that delve into machine learning, natural language processing, and robotics. Students engage in hands-on projects and real-world applications, allowing them to build practical skills in AI technologies. The course is structured to offer a balanced mix of theory and practical work, with opportunities for projects that foster creativity and critical thinking. Throughout their studies, students will partake in group work, presentations, and independent research, developing skills in teamwork, communication, and problem-solving. This approach ensures that graduates are well-prepared for the dynamic field of computer science. Studying in the UK, particularly at Leeds Trinity University, provides international students with access to a vibrant academic environment known for its strong industry connections. The country is a leader in technology and innovation, offering numerous opportunities for internships and employment in world-renowned tech companies.

From the programme record

  • Machine Learning Engineer

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15 Artificial Intelligence BSc(Hons)

Falmouth University

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations14,460

The BSc (Hons) in Artificial Intelligence at Falmouth University delves into the foundational aspects of AI, encompassing theoretical knowledge and practical application. The course is designed to equip students with a comprehensive understanding of machine learning, data science, robotics, and algorithm design. As industries increasingly adopt AI technologies, this program prepares students to meet the rising demand for skilled professionals in this dynamic field.Students will engage in a mix of hands-on projects, collaborative work, and lectures that culminate in a robust learning experience. The curriculum typically covers topics such as natural language processing, computer vision, and ethical considerations in AI. This immersive approach not only enhances technical expertise but also fosters critical thinking and problem-solving abilities, making graduates well-equipped for real-world challenges.Studying in the UK, particularly at Falmouth University, offers access to a rich technological landscape and a vibrant community of innovators. With cutting-edge resources, industry partnerships, and a focus on sustainable development, students are positioned to thrive in an environment that fosters creativity and collaboration. The location provides exposure to both cultural diversity and a plethora of networking opportunities in the tech industry.

From the programme record

  • Machine Learning Engineer
  • Business Intelligence Analyst

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16 Artificial Intelligence

City St George's, University of London

  • DeliveryOn campus
  • Study modeFull time
  • Duration4 years
  • StartsFall, Spring
  • Research citations7,239

The Bachelor's Degree in Artificial Intelligence at City St George's, University of London is designed to equip students with comprehensive knowledge and skills in the rapidly evolving field of AI. The course offers a blend of theoretical understanding and practical application, encouraging students to explore key areas such as machine learning, data analysis, robotics, and natural language processing. With a focus on hands-on experience, students engage in projects that simulate real-world challenges, preparing them for a dynamic job market.This degree is structured around core modules that cover foundational concepts in computer science and specialized topics in AI. The curriculum emphasizes both individual and group projects, fostering teamwork and critical thinking. Through interactive lectures, workshops, and lab sessions, students will develop essential programming skills, gain insights into AI ethics, and learn about the societal implications of technology.Studying at City St George's, situated in a vibrant urban environment, offers students the advantage of being in a multicultural context that enhances their learning experience. Britain is at the forefront of technological innovation, presenting numerous networking opportunities with industry leaders and potential employers.

Entry requirements, as the university states them

  • A levels or equivalent qualifications with a focus on Mathematics, Computer Science, and Science.
  • Strong performance in coursework and examinations that demonstrate analytical and quantitative skills.
  • Relevant experience, such as projects or work related to technology or programming, may also be advantageous.

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