University of East Anglia UEA has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Course summary
Overview Step into one of the most exciting and fastest-growing tech fields with our MComp in Artificial Intelligence. Designed to put you at the forefront of innovation, this dynamic programme equips you with the skills, knowledge, and confidence to help shape the future of AI. On this Artificial Intelligence degree, you'll master the foundations of computer science while diving deep into cutting-edge AI technologies, including machine learning, natural language processing, generative AI, and ethical AI development. The curriculum begins with essential mathematics, programming skills, databases, and web development, before progressing to specialised AI techniques and their real-world applications. You’ll work with the latest industry tools and frameworks while developing the critical thinking skills needed to tackle complex problems. What sets this AI course apart is its powerful blend of theory and real-world applications. From day one, you’ll gain hands-on experience through immersive lab sessions, dynamic group projects, and a final-year individual project that allows you to showcase your skills. By working on real-world problems, you'll be prepared to create impactful, future-facing solutions in high-demand sectors like business, healthcare, finance, environmental tech, and creative industries. Our teaching is informed by world-leading research from the School of Computing Sciences, ensuring you’re at the cutting edge of innovation. You won’t just gain technical skills—you’ll also explore the vital ethical dimensions of artificial intelligence. From privacy and algorithmic bias to transparency and the wider societal impact of AI, you’ll graduate not only as a capable developer, but as a responsible and forward-thinking innovator in the field. Upon graduation, your career opportunities will be extensive. You’ll be equipped to pursue exciting and well-remunerated roles such as machine learning engineer, data scientist, AI researcher, software developer, or AI ethics consultant. Whether you’re aiming for a cutting-edge role in industry or planning to continue your academic journey, this degree also provides excellent preparation for advanced study at MSc or PhD level. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk
How to apply
14Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G62N
- Institution code:
- E14
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma - D: 36 credits M: 9 credits
Scottish Higher - AAAAA
Scottish Advanced Higher - BBC
International Baccalaureate Diploma Programme - 33 points
Cambridge International Pre-U Certificate - Principal
T Level - D
GCSE English Language grade 4 or C and GCSE Mathematics grade 5 or B UEA are committed to ensuring that Higher Education is accessible to all, regardless of their background or experiences. One of the ways we do this is through our contextual admissions schemes – please see our website www.uea.ac.uk/apply/undergraduate/contextual-admissions for further information. We welcome a wide range of qualifications - for further information please visit our website www.uea.ac.uk
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | IELTS: 6.0 overall (minimum 5.5 in each component) |
We welcome applications from students from all academic backgrounds. We require evidence of proficiency in English (including speaking, listening, reading and writing) We will also accept other English language qualifications. Please check our website for details: https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies
English Language Equivalencies
https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies
Fees and funding
Tuition fees
| England | £9535* | Year 1 |
| Northern Ireland | £9535* | Year 1 |
| Scotland | £9535* | Year 1 |
| Wales | £9535* | Year 1 |
| International | £27900* | Year 1 |
*This is a provisional fee and subject to change.
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Tuition fees increase annually for all students in subsequent years of study. Any fee increase is based on the fee for the year that you register. Home undergraduate fees, whose rates are regulated by the UK Government, will be amended in line with any alteration advised by the UK Government. Fees not regulated by the UK Government will increase by a maximum of 4% or RPI-X whichever is the higher. RPI-X is the Retail Prices Index excluding mortgage interest.
For further information about additional costs for your course and information on fee status please see our website.”
Provider information
University of East Anglia UEA
Norwich Research Park
Norwich
NR4 7TJ