| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | September 2026 |
| Campus | Streatham Campus |
| Discipline | Computer Science |
| Contact |
| Typical offer | 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent. |
|---|---|
Overview
- Start your AI journey with no coding background – we’ll guide you every step of the way.
- Be inspired by world-leading experts shaping the future of AI and data science.
- Unlock access to cutting-edge labs and innovation spaces powered by major ADA investment.
- Work on real-world projects that showcase your skills to future employers.
- Graduate with the expertise to thrive in high-impact AI roles across global industries.
Top 20 in the UK for Computer Science
18th in the Complete University Guide 2026
Partner to the Alan Turing Institute
Advanced cloud computing infrastructure supporting complex AI model development
Teaching draws upon our research strengths in artificial intelligence and high-performance computing
Top 20 in the UK for Computer Science
18th in the Complete University Guide 2026
Partner to the Alan Turing Institute
Advanced cloud computing infrastructure supporting complex AI model development
Teaching draws upon our research strengths in artificial intelligence and high-performance computing
Entry requirements
Applicants are required to have at least a 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3.
Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
Our MSc Artificial Intelligence is designed for graduates from any discipline who want to pivot into one of the world’s fastest-growing fields. No prior coding experience is required - we’ll take you from programming fundamentals to advanced AI concepts, equipping you with the technical expertise and critical insight to apply AI responsibly.
You’ll learn from world-leading researchers at our Institute for Data Science and Artificial Intelligence, gaining access to cutting-edge labs and facilities. The programme blends theory with practice, giving you the opportunity to work on real-world projects, prototype AI solutions, and explore the social and ethical dimensions of AI.
By the time you graduate, you’ll be prepared to step into high-demand roles such as Machine Learning Engineer, AI Product Manager, or Data Scientist, with the skills to make a meaningful impact across industries worldwide.
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. Because AI is such a rapidly changing field, the precise modules available to you in future years will vary depending to accommodate cutting-edge research and techniques, staff availability, timetabling and student demand.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| 150 credits of compulsory modules: | ||
| COMM514 | Research Project | 60 |
| COMM109 | Programming with Python | 15 |
| ECMM443 | Introduction to Data Science | 15 |
| ECMM445 | Learning from Data | 15 |
| COMM111 | Foundations of Human-Centred AI | 15 |
| ECMM442 | Information Security | 15 |
| COMM1XXX | Applications of AI | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| 30 credits of optional modules: | ||
| COMM112 | Design Methods for Human-Centred AI | 15 |
| ECMM447 | Social Networks and Text Analysis | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
| COMM042 | Introduction to Computer Vision | 15 |
Fees
2026/27 entry
UK fees per year:
£14,300 full-time
International fees per year:
£30,300 full-time
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
University of Exeter Alumni Scholarship
We are pleased to offer University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship towards the cost of your tuition fees. Full details can be found here.
*Terms and conditions, including deadlines, apply. See our website for details..
Teaching and research
Teaching and assessment
You’ll learn through a mix of interactive lectures, hands-on projects, and guest sessions from industry experts, exploring both the technical and human sides of AI. You’ll be assessed through coursework, group projects, and a final independent dissertation, giving you the chance to showcase your skills and apply them to real-world challenges.
Personal Tutor
You will be allocated a Personal Tutor who is available for advice and support throughout your studies, along with support and mentoring from graduates who are now in industry. There is also a Postgraduate Tutor available to help with further guidance and advice.
A research and practice-led culture
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field. Plus, you’ll become actively involved in a research project yourself.
All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
Dr David Walker is Senior Lecturer in Computer Science at the University of Exeter. He specialises in evolutionary computation, visualisation, data science, AI and optimisation. He teaches modules in AI, software engineering, machine learning, databases and optimisation.
His research focuses on developing methods that make AI and optimisation processes more transparent and interactive through visualisation, improving both algorithm design and interpretation.
Read more from Dr David Walker
Dr David Walker
Programme Director for MSc Artificial Intelligence
Careers
Artificial intelligence is transforming industries worldwide, creating huge demand for professionals with the skills to design, deploy, and manage intelligent systems. As a graduate of this programme, you’ll be equipped with technical expertise in programming, machine learning, and data science, as well as the critical insight to consider AI’s ethical and social impact. This combination makes you highly sought after in sectors such as healthcare, finance, logistics, robotics, and technology, where AI-driven solutions are shaping the future.
Graduate Destinations
Our MSc Artificial Intelligence graduates are well prepared for diverse and exciting career paths. Popular roles include Machine Learning Engineer, Data Scientist, AI Product Manager, Research Scientist, and AI Ethics Consultant. Many of our students also go on to pursue further study at doctoral level or move into research and development positions within leading technology companies. With demand for AI expertise continuing to rise, your skills will be valued across global markets.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
