MComp Artificial Intelligence
Course
options
Key Details
- Award
- Degree of Master of Computing
- UCAS Course Code
- G62N
- Course Length
- 4 years
- Course Start Date
- September 2025
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Why you should choose us
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The Complete University Guide 2024Course 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.
Study and Modules
Structure
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.
Compulsory Modules
Optional A Modules
(Credits: 20)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 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.
Assessment
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.
Structure
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.
Compulsory Modules
Optional A Modules
(Credits: 20)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
In year two, you’ll build a strong foundation in AI and data science, while advancing your skills in programming and system development. You’ll have a range of optional modules to choose from, all of which represent the school’s current research and strengths.
Assessment
Like your first year, in year two, you’ll have a mixture of individual and group assessments. The balance of assessment types varies according to the module options you choose. Additionally, there’s a synoptic project, covering material from all modules.
Structure
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.
Compulsory Modules
Optional A Modules
(Credits: 40)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
In your third year, you’ll explore advanced AI methods, tools, and ethical considerations, alongside learning how AI integrates with web development. You’ll have the opportunity to select optional modules that deepen or broaden your expertise in specific areas of interest. Additionally, you’ll complete an individual project, applying the AI techniques you’ve learned throughout the course to tackle a real-world problem, under the guidance of a faculty member.
Assessment
In your third 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, there’s an individual project assessed through a combination of written work and demonstration or presentation.
Structure
A key part of the final year is the MComp group project — 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, developing skills in a range of techniques for data analysis.
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 20)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
In your final year, you’ll undertake a substantial project in collaboration with either a research group or an industrial partner, supervised by a faculty member from the school. Many of our lecturers are active researchers who lead world-class work and bring their cutting-edge insights directly into their teaching. Additionally, you’ll study data mining and have the opportunity to choose from a range of modules designed to deepen and broaden your expertise in modern, state-of-the-art computer science.
Assessment
A portion of your assessment will be dedicated to a group project, which may involve developing a substantial application. This project will be evaluated through a demonstration or presentation, along with a final group report. Additionally, your assessments will include a mix of technical reports, programming tasks, and presentations, depending on the modules you select.
Employability
After the Course
In this fast-paced, ever-evolving sector, your ability to learn and adapt is just as valuable as your current knowledge. Upon graduating, you’ll be equipped not only with solid expertise but also with the skills and mindset to continually grow and thrive in an exciting, dynamic career.
Careers
Examples of careers that you could enter include:
- Artificial intelligence developer
- Machine learning engineer
- Data scientist
- Software engineer
- Web or app developer
- Systems analyst
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
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.
- English and Mathematics
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.
- Contextual Offers
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.
- Typical UK Entry Requirements
A levels
AAB including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
Contextual offer: BBB 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.
BTEC
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
Access to HE Diploma
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
T levels
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.
Foundation Year options:
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
- Further Examples of Typical Entry Requirements
International Baccalaureate
33 points overall including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics
Irish Leaving Certificate
4 subjects at H2, 2 subjects at H3 including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
Scottish Highers
AAAAA including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
Scottish Advanced Highers
BBC including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics. A combination of Advanced Highers and Highers may be acceptable
- Deferred Entry
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.
- Admissions Policy
Our Admissions Policy applies to the admissions of all undergraduate applicants.
- Recent Study
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.
- This course is open to
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.
- English and Mathematics
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.
- Typical International Entry Requirements
We accept many international qualifications for entry to this course. For specific details about your country, view our information for International Students.
A levels
AAB including Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics
Contextual offer: BBB 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.
International Baccalaureate
33 points overall including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics
We accept many international qualifications for entry to this course. For specific details about your country, view our information for International Students.
- UEA International Study Centre
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.
- 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):
-
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:
-
- Deferred Entry
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.
- Admissions Policy
Our Admissions Policy applies to the admissions of all undergraduate applicants.
- Recent Study
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.
Fees and Funding
Tuition Fees
View our information for Tuition Fees.
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.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
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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: