Discover AI courses to launch your global career

Learn from ethical AI leaders at the UK’s AI University of the Year 2024.

Study AI in UK’s 'Silicon Gorge'

If you want to learn artificial intelligence (AI), the University of Bristol is a top 10 UK university for Computer Science (Times Higher Education 2025). You'll get a degree shaped by the researchers pushing the field forward and the companies putting it to work, within one of the UK’s most dynamic technology cities.

Located just 90 minutes from London, Bristol is where global companies like NVIDIA and HP sit alongside high-growth startups and technical research labs developing robotics, intelligent systems and advanced computing. The city also hosts Isambard-AI, a University of Bristol facility and the world’s most powerful university supercomputer, supporting next-generation AI research.

From September 2026, AI postgraduate programmes will be taught at the new Temple Quarter Enterprise Campus. Purpose‑built for innovation, the campus puts you at the heart of an innovation district where you will get to work alongside researchers, entrepreneurs, and industry partners to develop and put ideas to the test.

Get the best start to your AI career

Which AI degree should I study?

An undergraduate AI degree from the University of Bristol helps you build a strong technical foundation, whether you're specialising in AI or blending it with broader computer science.

At postgraduate level, you can choose between a technical AI degree or applied pathways that focus on domains such as business, health, or engineering.

Ethics is central to all degrees, allowing you to build the expertise employers rely on when implementing AI in real-world settings.

What AI skills will I graduate with?

Whichever degree you choose, you will gain hands‑on AI skills through projects, coursework and collaborative learning.

You'll build practical experience in areas such as Python, machine learning (ML) and natural language processing (NLP), applied to real industry challenges.

As an undergraduate, you'll focus on core programming, while postgraduate degrees offer optional units that let you tailor your learning to your technical or non‑technical background.

Who teaches AI at Bristol?

You’ll learn from and be supported by world-leading AI experts whose research is powered by advanced tools like Isambard-AI. Their work drives breakthroughs in drug design, smart cities and climate modelling, to name just a few.

For you, this translates into a degree backed by real AI research, not just theory. You can be confident that what you're learning reflects modern AI practice.

Our experts

Hear from the academics shaping artificial intelligence research and teaching at the University of Bristol.

As AI becomes increasingly integrated into everyday life, it's essential we develop trustworthy and responsible AI systems that promote fairness, accountability, and positive societal impact.
Lecturer in Artificial Intelligence
University of Bristol
With Artificial Intelligence being deployed across an expanding range of scenarios, getting the interaction between humans and intelligent machines right is critical.
Professor of Artificial Intelligence
University of Bristol
AI is becoming embedded in business, and we need leaders who understand not only the technology, but also how to use it responsibly to create value for organisations and society.
Senior Lecturer in Artificial Intelligence and Data Analytics
University of Bristol

Postgraduate programmes

Masters programmes focused on advanced AI skills and real-world applications across industry, engineering, business and health.

View our full range of AI and data science related programmes

MSc Artificial Intelligence

Develop advanced AI knowledge with hands-on experience in Python, machine learning and neural networks. Apply skills in labs, projects and independent research to solve AI problems and prepare for careers in industry and research.

Who this is for

Graduates in computer science, mathematics or related disciplines who want to specialise in artificial intelligence.

Potential career outcomes include:

  • AI engineer or AI researcher
  • Machine learning engineer
  • AI policy and governance specialist.

MSc Engineering with Artificial Intelligence

Explore AI applications in engineering, including automation, intelligent infrastructure and AI‑driven design and simulation. Gain practical experience using Python, machine learning and neural networks through industry-mirrored projects and data-driven problem solving.

Who this is for

Engineers and STEM graduates who want to apply artificial intelligence in robotics, automation and intelligent infrastructure.

Potential career outcomes include:

  • AI-driven simulation and design engineer
  • AI integration/systems engineer
  • Engineering roles incorporating AI technologies.

MSc Artificial Intelligence for Medicine and Health

Apply AI to healthcare and biomedical research with hands-on projects using Python and machine learning. Work with real‑world medical and health datasets, developing and evaluating predictive models for clinical, life sciences or health technology contexts.

Who this is for

Healthcare, life sciences, engineering or computing graduates/professionals seeking to use AI in medicine.

Potential career outcomes include:

  • Clinical AI implementation and adoption lead
  • Medical AI specialist or Applied AI scientist (healthcare)
  • Responsible AI and health AI governance specialist.

MSc Artificial Intelligence for Business

Learn how AI drives value in organisations, combining core AI technologies with business strategy, evaluation and organisational context. Work on applied projects and real-world business challenges with external organisations, gaining experience in AI adoption and organisational transformation.

Who this is for

Business, computing or related graduates aiming to lead AI adoption.

Potential career outcomes include:

  • AI product manager
  • AI strategy/digital transformation consultant 
  • AI business analyst or Innovation manager.

Undergraduate courses

Choose BEng AI for building intelligent systems or Computer Science with AI for software-focused AI specialisation.

View our full range of AI and data science courses

BEng Artificial Intelligence (3 years)

Learn the foundations of modern AI and machine learning to design, programme and deploy intelligent systems, backed by the essential maths. Explore the opportunities, challenges and ethical questions AI brings. Get practical experience through real projects and industry insight into how AI is applied in areas including healthcare, robotics and finance.

Who this is for

Students seeking technical AI skills, algorithm design and responsible machine learning practice.

Potential career outcomes include:

  • AI engineer
  • Machine learning engineer
  • Applied AI specialist.

BSc Computer Science with Artificial Intelligence (3 years)

Build core computer science skills while specialising in modern foundational AI. Strengthen programming, maths and problem‑solving through applied team and individual AI projects supported by academic and industry experts.

Who this is for

Students who want broad computer science skills with practical specialisation in modern AI.

Potential career outcomes include:

  • Software engineer with AI specialisation
  • Machine learning engineer
  • AI researcher.

MEng Computer Science with Artificial Intelligence (4 years)

Gain deeper technical training and expanded AI specialisation through advanced units, an extended final‑year project and enhanced industry engagement. This integrated master's allows you to explore computer science and AI in greater depth than the BSc.

MEng Computer Science with Artificial Intelligence with Study Abroad

Enhance your MEng with an international study year, expanding your global perspective while continuing advanced computer science and AI training at a partner university aligned with Bristol’s curriculum.

Free AI fundamentals short course

This 12-hour introductory programme in artificial intelligence explores core concepts of intelligent systems, alongside the risks, challenges and ethical questions raised by rapid adoption.

Whether you come from a technical or non-technical background, this course is a great introduction to AI and machine learning.
AI fundamentals learner
The course content was interesting and useful and I learned more about what is AI as well as understood more about the risks and benefits of it...Thank you for the course!
AI fundamentals learner
AI Fundamentals, has surpassed my expectations. I am still cynical regarding AI, but now I am informed and ready to continue my investigation of this technology... HIGHLY RECOMMEND!
AI fundamentals learner