Computing Sciences at UEA
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Find out moreBSc (Hons) Artificial Intelligence (Final Year Entry)
Key Details
- Attendance
- Full Time
- Award
- Degree of Bachelor of Science
- UCAS Course Code
- G61C
- Entry Requirements
- SQA Higher National Diploma (HND) in Software Development, with B in each graded unit
- Course Length
- 1 year
- Course Start Date
- September 2026
Other Start Dates
Other Start Dates
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Why you should choose us
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in the UK for Computer Science for Graduate Prospects - Outcomes
The Complete University Guide 2024Course Overview
Step into the future with our BSc in Artificial Intelligence – a cutting-edge top-up degree designed to launch your career in one of the world’s most exciting and fast-growing industries.
Leveraging the strengths of the School, this course provides 120 credits of learning that cover both introductory and advanced topics in Artificial Intelligence. You’ll explore key areas of Artificial Intelligence, including computer vision, image processing, and cyber security. You’ll also master the core principles of AI and develop in-demand expertise in machine learning, natural language processing, and generative AI.
Throughout this dynamic course, you’ll develop your expertise from foundational computational principles to cutting-edge AI applications. The programme is closely aligned with the world-leading research conducted within the School of Computing Sciences at UEA. So, you won’t just learn about AI — you’ll be immersed in the groundbreaking discoveries that are shaping its future.
Along the way, you’ll engage with industry-standard tools and frameworks, while developing the critical thinking skills needed to solve complex, real-world problems. A distinctive feature of this course is its balanced approach to theoretical understanding and hands-on experience. Through lab sessions and group work, you’ll apply your knowledge to real-world challenges and learn how to implement AI solutions across a variety of domains, from business, healthcare, and finance to environmental monitoring and the creative industries. You’ll also explore the ethical dimensions of AI, including privacy concerns, algorithmic bias, transparency, and the broader societal implications of AI systems.
With its comprehensive curriculum, practical focus, and strong ethical grounding, this BSc in Artificial Intelligence equips you with the expertise to tackle complex challenges through innovative AI solutions. Upon graduation, you’ll find a wealth of career opportunities in this rapidly evolving field. Potential roles include machine learning engineer, data scientist, AI researcher, software developer, or AI consultant. This degree also provides an excellent foundation for further study, preparing you for advanced postgraduate programmes such as an MSc or PhD in Artificial Intelligence, Computer Science, or related disciplines.
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Study and Modules
Structure
In this final-year degree programme, you’ll master both the core material and advanced topics in Artificial Intelligence. All modules have been carefully selected to address the key areas of AI and the fundamental disciplines that support it. The range of modules on offer reflects the current research strengths of the School, they also provide a pathway to postgraduate opportunities and are highly relevant to industry needs.
Compulsory Modules
Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
During this year, you'll take taught modules and work both independently and collaboratively on coursework assignments. These may include developing a piece of software and demonstrating its functionality in class, or writing a report on a specific research topic. This approach will help you develop valuable employability skills such as organisation, teamwork, and communication, all of which are highly valued by employers.
Assessment
We use a mixture of individual and group assessments, which may include written work, presentations, or demonstrations. These assessments combine theoretical understanding with practical application and are designed to evaluate the full range of skills and competencies required to meet the learning outcomes of each module.
You’ll be assessed through a combination of:
- Demonstrations and presentations (typically 30%)
- Project work (typically 60%)
- Written assignments (typically 10%)
Employability
After the Course
As a professional in this rapidly evolving field, the ability to adapt and learn new skills is just as important as the knowledge you already possess. Upon successful completion of your degree, you’ll have the expertise to build an exciting and fulfilling professional life, continuously learning and developing throughout your career.
Careers
Examples of careers that you could enter include:
- Artificial intelligence developer
- Machine learning engineer
- Software engineer
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
International fee-paying students. The entry point is in September each year.
- Typical International Entry Requirements
SQA Higher National Diploma (HND) in Software Development, with B in each graded unit.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
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IELTS: 6.0 overall (minimum 5.5 in all components)
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within two years of the course start date.
If you do not yet meet the English language requirements for this course, UEA International Study Centre offer a variety of English language programmes which are designed to help you develop the English skills necessary for successful undergraduate study.
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- Admissions Policy
Our Admissions Policy applies to the admissions of all undergraduate applicants.
Fees and Funding
Tuition fees for the Academic Year 2026/27 are:
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International Students: £25,950
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
Apply for this course through the Universities and Colleges Admissions Services (UCAS), using UCAS Hub.
UCAS Hub is a secure online application system that allows you to apply for full-time undergraduate courses at universities and colleges in the United Kingdom.
Your application does not have to be completed all at once. Register or sign in to UCAS to get started.
Once you submit your completed application, UCAS will process it and send it to your chosen universities and colleges.
The Institution code for the University of East Anglia is E14.
View our guide to applying through UCAS for useful tips, key dates and further information: