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Artificial Intelligence (Final Year Entry)

Study level:
Undergraduate
Awarded by:
University of East Anglia

Course summary

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.

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

Apply by
14 January

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:
G61C
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 - Not accepted

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - Not accepted

Access to HE Diploma - Not accepted

Scottish Higher - Not accepted

Scottish HND

SQA Higher National Diploma in Computing: Software Development with B in each graded unit.

English language requirements

TestGradeAdditional details
IELTS (Academic)6IELTS: 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

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

LocationFeeYear
International£25950Year 1

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.

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