BSc Artificial Intelligence

3 Years On Campus Bachelors Program

University of Exeter

Program Overview

Exeter's BSc Artificial Intelligence is built for students who want to sit at the intersection of computer science, mathematics, and ethics, not just learn to code AI systems, but understand how to build them responsibly. It's a great fit for anyone who loves problem-solving and wants a degree that opens doors across healthcare, finance, robotics, logistics, and beyond, while learning from staff recruited through Exeter's major Project ADA investment in AI and data science.

Curriculum structure

In Year 1, students lay the groundwork across computer science and mathematics, taking core modules like Fundamentals of Machine Learning, Programming, and Discrete Mathematics for Computer Science, building the coding, logic, and data-handling skills that everything else in the degree builds on.

Year 2 is where things get serious. Students dive into modules such as Machine Learning and Data Science, Artificial Intelligence and Applications, and the genuinely cutting-edge Introduction to Prompt Engineering, alongside a hands-on Team Project that mirrors real industry collaboration.

Students on the four-year route can take a Placement Year, spending a full year embedded in industry through the Industrial Placement module, a paid, credit-bearing year that turns classroom learning into real-world experience and often a job offer.

By the Final Year, students are specialising through options like Computer Vision, Foundations of Human-Centred AI, and Social Networks and Text Analysis, capped off with an Individual Literature Review and Project where they lead their own piece of original AI research.

Focus areas: Machine learning, natural language processing, computer vision, robotics, data science, and AI ethics, with the flexibility to specialise through optional modules and a Future Skills Pathway minor in a second subject.

Learning outcomes: Graduates leave with strong technical mastery in programming, machine learning, and software engineering, paired with the critical judgment to apply AI responsibly. Along the way they build transferable skills in data handling, problem-solving, communication, and research methodology, often developed in real industrial and commercial contexts.

Professional alignment: The programme is taught by academics and industry practitioners connected to the globally recognised Alan Turing Institute, and students get dedicated one-on-one support from Exeter's Career Zone team throughout their studies.

Reputation (employability): Exeter is ranked Top 20 in the UK for Computer Science, 18th in the Complete University Guide 2026, and its graduates rank in the UK's top 10 for being targeted by leading employers.

Experiential Learning (Research, Projects, Internships etc.)

Exeter doesn't just teach AI theory, it puts you inside it. Right from your first year, you'll be coding, building, and testing in dedicated computer science labs designed specifically for collaborative tech learning, backed by advanced cloud computing infrastructure that supports serious AI model development. Teaching blends lectures with seminars, case studies, industry visits, and computer simulations, so you're constantly applying what you learn rather than just reading about it. By your second year you're working in a real team project, and by your final year you're running your own independent research through the Individual Literature Review and Project, guided by academics who are active researchers themselves and connected to one of the UK's leading AI institutions. Here's what that looks like in practice:

Purpose-built computer labs: The Babbage lab, seating 60 students, and the Lovelace lab, seating 120, are sensory-friendly, quieter environments with fold-down monitors on every desk and shared display screens for group teaching and collaborative work.
Advanced computing infrastructure: access to high-specification computing facilities and cloud infrastructure built to support complex AI model development.
Group project work: the Year 2 Team Project module has students collaborating on real problem-solving in a group setting, mirroring how AI teams actually work in industry.
Optional industrial placement: the four-year "with Industrial Placement" route gives you a full paid year embedded in a company, working on a substantial live project rather than a simulated one.
Independent research project: in your final year, the Individual Literature Review and Project lets you lead your own AI research from start to finish.
Institute partnership: Exeter partners with the Alan Turing Institute, and you'll be taught by academics and industry practitioners connected to it.
Industry engagement: teaching includes real industry visits and case studies, not just classroom examples.
Breakout and collaboration spaces: a dedicated breakout space next to the Babbage lab, with wraparound whiteboards, is set up specifically for seminars and group discussion.
Careers support: the Career Zone team offers one-on-one guidance, workshops, and industry contacts throughout your degree, not just when you're job hunting.
Personal Tutor system: every student is paired with a Personal Tutor, plus mentoring from graduates now working in industry.

Progression & Future Opportunities

Exeter's AI graduates step into one of the hottest job markets in tech, backed by a degree that's genuinely built with employability in mind. With a curriculum spanning machine learning, robotics, computer vision, data science, and AI ethics, graduates are equipped for a huge range of industries, from healthcare and finance to logistics and sustainability. Typical roles graduates move into include AI Research Scientist, Machine Learning Engineer, Data Scientist, and Robotics Engineer:

Career support services: the dedicated Career Zone team provides one-on-one career guidance at every stage, alongside training events, workshops, and lectures focused on building enterprise and employability skills, plus access to a wide network of business and industry contacts.
Employment reputation: Exeter graduates rank in the UK's top 10 for being targeted by leading employers, which says a lot about how highly this degree is regarded across the job market.
University–industry partnerships: the programme is delivered in partnership with the Alan Turing Institute, with teaching drawing on academics and industry practitioners connected to it, and students on the four-year route complete a paid Industrial Placement year working on live projects with real employers.
Long-term accreditation value: Exeter is ranked Top 20 in the UK for Computer Science, 18th in the Complete University Guide 2026, giving the degree strong, recognisable standing with employers well beyond graduation.
Graduate outcomes: graduates leave prepared for roles at the forefront of AI's impact across industry, with the technical depth and ethical grounding employers are actively looking for right now.

Further Academic Progression: Students who want to keep going academically have a clear path at Exeter itself. Many progress onto the MSc Artificial Intelligence for focused postgraduate specialisation, or continue into research through Exeter's PhD and research degree programmes. High-achieving students may also be interested in Exeter's integrated MSci Artificial Intelligence route, which extends the undergraduate degree into a masters-level qualification with deeper specialisation before entering the workforce or research.