Computing Sciences at UEA
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The Complete University Guide 2024Why MComp Artificial Intelligence at UEA?
The MComp Artificial Intelligence at UEA is a four-year integrated Master’s programme that builds a strong foundation in computer science and AI. Taught by leading experts with industry input, this MComp AI course equips you with deep technical knowledge and leadership skills for top roles in the global AI field.
What is MComp Artificial Intelligence?
This MComp in Artificial Intelligence provides a comprehensive journey from computer science foundations to advanced mastery in generative AI, machine learning, and natural language processing. You'll develop technical expertise using industry-standard tools through immersive labs, group work, and a significant final-year project focused on real-world problem-solving. The curriculum is directly informed by world-leading research, ensuring you stay at the forefront of innovation while mastering the vital ethical dimensions of privacy and algorithmic bias.
By graduation, you'll be prepared for high-impact, well-remunerated roles such as machine learning engineer or data scientist across sectors like healthcare and finance. Ultimately, this integrated Master’s degree serves as an elite launchpad for both high-level professional careers and advanced doctoral research.
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Find out more about studying Computing Sciences at UEA, and browse our other courses.
Find out moreCareer pathways
With a MComp Artificial Intelligence degree, you could launch a career in:
At UEA, we focus on turning your technical potential into professional success. From day one, you'll have access to our specialised Career Central team, who provide the tailored mentoring and industry-specific guidance needed to navigate the competitive job markets. We pride ourselves on equipping you with the necessary portfolio-building skills and professional confidence to secure rewarding, high-quality roles in industry. Our approach delivers proven results: 89% of our graduates move into professional-level employment or pursue further advanced study within 15 months of graduation.
We provide the expert support and networking opportunities you need to achieve your goals.
Your journey with UEA doesn’t end on graduation day, it’s just the beginning of a lifelong rewarding journey. As a graduate, you'll step into the professional world not only with a prestigious degree but also with the backing of our extensive Alumni Network. This vibrant community connects you with former students now leading innovation in top-tier tech firms, startups, and research institutions worldwide.
You may choose to dive straight into a high-impact development role or continue your path in the academic world. Either way, you'll have a world of mentorship and networking opportunities at your fingertips. You’re graduating into a tradition of success, joining a fleet of innovators who are shaping the digital landscape of tomorrow.
On this four-year degree programme, you’ll start to learn the core underpinning knowledge and skills for AI and computer science.
In your first year, you’ll get to grips with the fundamentals of programming, computer principles and databases. You’ll 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.
In your second year, you’ll study key concepts such as data structures and algorithms, AI foundations, and advanced programming skills. You’ll also collaborate in teams to engineer large-scale solutions to real-world problems, giving you the chance to develop valuable employability skills. Additionally, you’ll begin to tailor your curriculum by selecting optional topics, such as 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.
In your third year, you’ll undertake an independent research project to 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 academic writing and communication skills. You’ll have the choice 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.
A key part of the final year is the MComp group project. It’s a supervised, team-based project based on a real industry example or a research-led brief. The focus of the project could be on the application of AI or development of new techniques in AI. You’ll also study data mining and develop skills in a range of techniques for data analysis.
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
We teach a variety of programming and scripting languages including Java, Python, C and C++, 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 professional and employable skills, and building your programming expertise. Teaching methods include team-based learning and hands-on practical experience.
You’ll learn through a mixture of lectures, seminars, and lab classes. The lab and seminar classes reinforce and expand the lecture materials.
Alongside your formal learning, you’ll study independently to gain a deeper appreciation of specialist topics.
Assessment
We use a range of assessment methods throughout our degree programmes. These include coding, written work, oral presentations or demonstrations, bench demonstrations, vivas, exams, and in-class tests (closed and/or time-limited assessments). These methods will assess both your theoretical understanding and your practical application of knowledge. Assessments are specifically designed to evaluate the full range of skills and competencies required for the learning objectives of each module.
Across all years, you'll be assessed using the full range of assessment types, undertaking a mixture of individual and group assignments. Additionally, in your first and second year, there’s a launchpad group project, requiring you and your team to apply knowledge learnt across the other modules.
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(opens in a new window) 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(opens in a new window).
AAB including one of the following: Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics, or Economics
Contextual offer: BBB including one of the following: Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics, or Economics
Level 3 Extended Diploma: DDD in IT, Engineering or Science based subject OR DDD plus A-Level grade B in Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
Contextual offer: DDM in IT, Engineering or Science based subject
Pass Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 credits at Level 3 including 12 credits in Mathematics, Computing, Physics, Electronics or Economics
Contextual Offer: Pass Access to HE Diploma with Merit in 30 credits at Level 3 and pass in 15 credits at Level 3 including 12 credits in Mathematics, Computing Science, Physics, Electronics or Economics at Merit.
Obtain an overall Distinction. 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, Design and Development for Engineering and Manufacturing.
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
33 points overall including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics
4 subjects at H2, 2 subjects at H3 including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
AAAAA including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
BBC 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.
We would prefer you to be able to demonstrate evidence of recent academic study within 5 years of the start of the course. If your last qualification will have been completed more than 5 years ago by the time the course starts, please contact Admissions.
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(opens in a new window) page.
AAB including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
If you do not meet the academic and/or English language requirements for direct entry our partner, UEA International Study Centre(opens in a new window) 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(opens in a new window) 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.
We would prefer you to be able to demonstrate evidence of recent academic study within 5 years of the start of the course. If your last qualification will have been completed more than 5 years ago by the time the course starts, please contact Admissions.
Tuition fees for the Academic Year 2027/28 are:
UK Students: £10,050
International Students: £29,300
We estimate living expenses at £1,171 per month.
Further Information on tuition fees can be found here(opens in a new window).
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(opens in a new window) 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 2027 for 4 years