Computing Sciences at UEA
Find out more about studying Computing Sciences at UEA, and browse our other courses.
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in the UK for Computer Science for Graduate Prospects - Outcomes
The Complete University Guide 2024Step into the future with our BSc in Artificial Intelligence – a cutting-edge degree designed to launch your career in one of the world’s most exciting and fast-growing industries. You’ll master the fundamentals of computer science while gaining in-demand expertise in AI, machine learning, natural language processing, generative AI, and ethical AI development.
Throughout this dynamic course, you’ll build your expertise from foundational computational principles to cutting-edge AI applications. This programme is closely aligned with the world-leading research being carried out in the School of Computing Sciences at UEA. You won’t just learn about AI—you’ll be immersed in the groundbreaking discoveries that are shaping its future.
You’ll begin by studying essential mathematics, programming skills, databases, and web development, before progressing to specialised AI techniques and their practical implementation. Along the way, you’ll engage with cutting-edge tools and industry-standard 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, group work, and an exciting individual final-year project, you’ll apply your knowledge to real-world challenges. You’ll learn how to implement AI solutions across various domains, from business, healthcare and finance to environmental monitoring and creative industries. You’ll also explore the crucial 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 skills to tackle complex challenges with innovative AI solutions. Upon graduation, your career opportunities will be both extensive and ever evolving. You could become a machine learning engineer, data scientist, AI researcher, software developer, or AI ethics consultant. This degree also offers a solid foundation for further study, preparing you for advanced postgraduate programmes such as an MSc or PhD in artificial intelligence, computer science, or related fields.
Find out more about studying Computing Sciences at UEA, and browse our other courses.
Find out moreIn year one of this three-year programme, you’ll start to explore the core underpinning knowledge and skills for AI and computer science. You’ll get to grips with the fundamentals of programming, computer principles and databases. You’ll also learn programming concepts using high-level programming languages. You’ll study mathematical modules and learn how they’ll be relevant to your future career. You’ll learn how to model and manipulate data using industry standard data manipulation language. We also emphasise practical problem-based learning.
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.
We teach a variety of programming or scripting languages including Python, SQL, HTML, CSS and JavaScript. You’ll be working with the software development tools and practices used in the industry right now, getting up to speed with the system development and database principles, gaining computing mathematics fundamental knowledge, practicing employability skills and building your programming experience this year. Teaching methods include team-based learning and hands-on practices
You’ll learn through a mixture of lectures, seminars and lab classes – where the lab and seminar classes reinforce and expand on the lecture materials.
Alongside your formal learning, you’ll study independently to gain a deeper appreciation of specialist topics.
Your first year will have a mixture of individual and group assessments. These may include written work, presentations or demonstrations, and in-class tests (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. Additionally, there’s a synoptic project, covering material from all modules.
In your second year, you’ll learn the concepts of data structures and algorithms, AI foundations and advanced programming skills. You’ll also work in a team to engineer large-scale solutions to problems; this will give you the opportunity to develop more employability skills. Alongside this, you’ll start to shape your own curriculum by choosing topics that may include information retrieval or the ethics of technology.
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.
You’ll build a strong foundation in AI and data science while advancing your skills in programming and system development. You’ll also have a range of optional modules to choose from, all of which represent the school’s current research and strengths.
Like your first year, you’ll have a mixture of individual and group assessments. The balance of assessment types varies according to the options chosen. You’ll also take on a synoptic project that integrates learning from across all modules
In your final year, you’ll undertake an exciting independent research project where you’ll apply your knowledge and skills of AI to solve a real-world problem with one-to-one support from your academic supervisor. You’ll work independently on a project with AI, write a report on your work, develop software and present it. This will give you the opportunity to develop your academic writing and communication skills. You’ll also have the flexibility to tailor your degree by choosing topics from a wide range of optional modules in your last year, all of which represent the school’s current research and strengths.
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.
In your final year, you’ll learn more advanced AI methods, tools and ethics, and how AI can be integrated into Web developments. You'll have the opportunity to choose some optional modules to expand or enhance your interest in specific areas. You’ll complete an individual project by applying AI techniques you’ve learned throughout the course to a real-world problem, under the supervision of a member of the faculty.
In your final year, again, there’ll be a combination of individual and group assessments. Like your second year, the balance of assessment types varies according to the options chosen. Additionally, you'll complete an individual project, assessed through a combination of written work and a demonstration or presentation
As a professional in this rapidly evolving sector, the ability to learn new skills is as important as what you know already. After successfully completing your degree, you’ll have the knowledge to forge an exciting career, continually learning and developing yourself.
Examples of careers that you could enter include:
Discover more on our Careers webpages.
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
We welcome and value a wide range of qualifications, and we recognise that some students might take a mixture of different qualifications. We have listed typical examples that we accept for entry.
You should hold or be working towards the specified English and Mathematics requirements and one of the examples of typical entry qualifications listed below. If your qualifications aren’t listed, or if you are taking a combination of qualifications that isn’t specified, please contact Admissions.
All applicants must hold or be working towards GCSEs in English Language at minimum grade 4 or grade C, and Mathematics at minimum grade 5 or grade B.
We accept a wide range of English Language qualifications, please see our English Language equivalencies page.
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.
ABB including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
Contextual offer: BBC including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
Where applicable Science A levels awarded by an English Exam board require a pass in the practical element.
Not accepted: Critical Thinking and General Studies.
Level 3 Extended Diploma: DDM in IT, Engineering or Science-based subject OR DDM plus A-Level grade B in Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
Contextual offer: DMM in IT, Engineering or Science based-subject.
BTEC in Public Services, Uniformed Services and Business Administration are all excluded from our BTEC offers.
Pass the Access to HE Diploma with Distinction in 30 credits at Level 3 and Merit in 15 credits at Level 3, including 12 credits in Mathematics, Computing, Physics, Electronics or Economics.
Obtain an overall Merit. We accept: Design, surveying and planning for construction, Digital production, design and development, Digital Business Services, Digital Support Services, Science, Engineering, Manufacturing, Processing and Control, and Design and Development for Engineering and Manufacturing pathways.
If you do not meet the academic requirements for direct entry, you may be interested in one of our Foundation Year programmes such as BSc Computing Science with a Foundation Year
32 points overall including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics.
3 subjects at H2, 3 subjects at H3 including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
AAABB including grade A in Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
BCC including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
A combination of Advanced Highers and Highers may be acceptable.
We welcome applications from students who have already taken or intend to take a gap year. We believe that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry on your UCAS application.
Our Admissions Policy applies to the admissions of all undergraduate applicants.
Once enrolled onto a course at UEA, your progression and continuation (which may include eligibility for study abroad, overseas experience, placement or year in industry opportunities) is contingent on meeting the assessment requirements which are relevant to the course on which you are enrolled.
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
We welcome and value a wide range of qualifications, and we recognise that some students might take a mixture of different qualifications. We have listed typical examples that we accept for entry.
You should hold or be working towards the specified English and Mathematics requirements and one of the examples of typical entry qualifications listed below. If your qualifications aren’t listed, or if you are taking a combination of qualifications that isn’t specified, please contact Admissions.
All applicants must hold or be working towards GCSEs in English Language at minimum grade 4 or grade C, and Mathematics at minimum grade 5 or grade B.
We accept a wide range of English Language qualifications, please see our English Language equivalencies page.
ABB including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics.
Where applicable Science A levels awarded by an English Exam board require a pass in the practical element.
Not accepted: Critical Thinking and General Studies.
32 points overall including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics.
If you do not meet the academic and/or English language requirements for direct entry our partner, UEA International Study Centre offers progression on to this undergraduate degree upon successful completion of a preparation programme. Depending on your interests, and your qualifications you can take a variety of routes to this degree.
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
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.
We welcome applications from students who have already taken or intend to take a gap year. We believe that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry on your UCAS application.
Our Admissions Policy applies to the admissions of all undergraduate applicants.
Once enrolled onto a course at UEA, your progression and continuation (which may include eligibility for study abroad, overseas experience, placement or year in industry opportunities) is contingent on meeting the assessment requirements which are relevant to the course on which you are enrolled.
Tuition Fees
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Scholarships and Bursaries
We are committed to ensuring that costs do not act as a barrier to those aspiring to come to a world leading university and have developed a funding package to reward those with excellent qualifications and assist those from lower income backgrounds. View our range of Scholarships for eligibility, details of how to apply and closing dates.
Please see Additional Course Fees for details of course-related costs.
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:
Artificial Intelligence starting September 2025 for 3 years