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Computing Sciences at UEA
Find out more about studying Computing Sciences at UEA, and browse our other courses.
Find out moreMSc Artificial Intelligence
Key details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- September 2026
Other Start Dates
Gain a competitive edge with a placement year
This course is also available with an integrated placement year, giving you the opportunity to gain valuable UK industry experience alongside your master's degree
Other Start Dates
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In the UK for Computer Science for Graduate Prospects - Outcomes
The Complete University Guide 202492%
Of our research output is rated as "World-Leading" or "Internationally Excellent”
Research Excellence Framework (REF)Course Overview
Why MSc Artificial Intelligence at UEA?
This intensive one-year programme is designed for graduates who want to pivot into the world’s most dynamic field. Whether you’re looking to become an AI developer, a data scientist, or a researcher, this course provides the technical rigor and practical experience needed to thrive.
Why Choose UEA
- Tech-led curriculum: Our curriculum is both research-led and shaped by constant input from our global industry partners (companies like Apple, IBM, and BT)
- Practical implementation: you won’t just study algorithms; you'll build them. You’ll have hands-on experience with industry-standard frameworks and tools in our brand-new, high-spec AI laboratories
- Modern laboratories: You'll have access to our dedicated AI laboratories, equipped with high-performance, industry-grade machines. You’ll experience the same technical environment used by professional AI engineers
What is MSc Artificial Intelligence?
The MSc Artificial Intelligence at UEA begins with foundational Python programming and AI concepts before advancing to specialised modules focused on real-world industry applications. You'll learn within our internationally recognised School of Computing Sciences, where faculty members lead world-class research funded by major UK research councils.
The course is uniquely situated at the Norwich Research Park, providing direct access to global technology partners like Apple, IBM, and BT. You'll have the opportunity to collaborate with experts across diverse sectors, including healthcare, renewable energy, and environmental science.
To suit your lifestyle, flexible study options are available, allowing you to complete the degree full-time in 12 months or part-time over two to three years.
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Placement Year
You have the option to choose a variant of this course with an integrated placement year. This gives you valuable UK industry experience as part of your Master’s degree.
In year one, you’ll complete your academic studies, including your dissertation, alongside an employability programme preparing you for UK work.
In year two, you’ll secure an industry placement or complete three employer-led industry projects with different UK organisations. This extra year lets you apply your learning professionally, strengthen your CV with UK experience, and boost your global career prospects.
You’ll lead the search for your placement, supported by employability workshops, coaching, and guidance from our specialist placement partner.
If you don’t secure a placement, you’ll complete three employer-led industry projects with organisations across different UK sectors.
For more information, check out our Postgraduate Placement Year page.
Careers
Career Pathways
Examples of careers that you could enter include:
- Various industries, e.g. transport, manufacturing, agriculture
- Business and finance sectors: banks, insurances
- Computer system developments
- Public sectors, Governments and Healthcare
- Researchers and PhD
Discover more on our Careers webpages.
Career Support
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. Whether you aim to enter the workforce immediately as an AI specialist or go on with a career path in academia, we provide the guidance, support, and networking opportunities you may need on the way.
After the Course
UEA continues to support you on your career path even after graduation. You’ll graduate with a prestigious degree while you’ll join and be backed by our extensive Alumni Network. You'll connect with former students who are now leading innovation in top-tier tech companies, startups, and research institutions around the globe. You may choose to embark on a role in industry or use your expertise to start a PhD. Either path you choose, you’ll a world of mentorship and networking opportunities at your fingertips.
Study and Modules
Structure
The course is structured to include a series of taught modules and a dissertation module. The course duration is 12 months for full-time study, or 24 or 36 months on a part-time basis.
The modules are classified into two categories: compulsory and optional. There are compulsory modules in the course that cover advanced AI, professional skills and the dissertation. The remaining modules are taken from a range of around ten optional modules that cover programming, AI and various applications of AI.
To balance workload, for full-time study, you should do taught modules in each of two semesters. The dissertation module starts in the second semester but only requires you to study the background literature and write a project proposal. You’ll work on your dissertation on a full-time basis through the summer to the deadline in late August. For part-time, fewer taught modules are taken each year to spread the course out over a longer period. Your academic advisor will be available to support you in selecting module options before or shortly after your course begins.
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 20)Optional C Modules
(Credits: 40)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
Taught modules are typically delivered with a series of lectures that are then underpinned by laboratory classes and sometimes seminars. The typical structure for teaching a module begins with a two-hour lecture, followed by a two-hour laboratory exercise. These are normally timetabled to be on the same day for the convenience of part-time students.
Additionally, for each module, you should allocate approximately four to eight hours per week for independent study and coursework assignments.
Coursework is completed either individually or through group work. For group work, groups usually consist of two or three students, either formed by the students themselves or allocated by the lecturers.
The dissertation is based on a practical, real-world project. Full-time students select their project in the spring semester and complete the work over the summer. Part-time students choose their project in the penultimate year and undertake the dissertation in the final year.
Assessment
Assessments are carried out largely by coursework assignments and possibly lab tests or examinations, depending on the individual module. For this course, nearly all modules are assessed through two coursework assignments of varying weight, designed to develop real-world problem-solving skills and practical experience.
The dissertation is assessed by practical demonstration or presentation and oral examination.
Teaching and Learning, and Assessment
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 sessions. Your 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.
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.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
A Bachelor’s degree (UK’s 2.2 or above or equivalent) in any discipline
If you have not studied any Python Programming before then you should look at some basic topics in Python before arrival. The following website covers details on getting started with Python. https://realpython.com/learning-paths/python-basics/ (Please look at topics up to Functions, Conditional Logic and Control flow). If you would like to explore further, then more in depth examples and background is included here (https://wiki.python.org/moin/BeginnersGuide).
During the course you can select the programming module that best fits with your background.If your degree grade does not meet the normal entry requirement, you may still apply if you can demonstrate significant relevant work experience. Our course is flexible, and we will create different pathways for you depending on your previous knowledge and in discussion with advisor.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- 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.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2 or equivalent
Degree Subject
A Bachelor’s degree (UK’s 2.2 or above or equivalent) in any discipline
If you have not studied any Python Programming before then you should look at some basic topics in Python before arrival. The following website covers details on getting started with Python. https://realpython.com/learning-paths/python-basics/ (Please look at topics up to Functions, Conditional Logic and Control flow). If you would like to explore further, then more in depth examples and background is included here (https://wiki.python.org/moin/BeginnersGuide).
During the course you can select the programming module that best fits with your background.If your degree grade does not meet the normal entry requirement, you may still apply if you can demonstrate significant relevant work experience. Our course is flexible, and we will create different pathways for you depending on your previous knowledge and in discussion with advisor.
- 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 with minimum 5.5 in each component.
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 2 years of the course start date.
If you do not meet the English language requirements for this course, UEA International Study Centre offers a variety of English language programmes which are designed to help you develop the required English skills.
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- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
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Fees and Funding
Tuition fees for the Academic Year 2026/27 are:
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UK Students: £12,350
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International Students: £25,700
If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for Home students).
If you choose to take this course with a placement year, your tuition fees for the first year will be as shown above. An additional fee of £3,500 will apply for the placement year (see our FAQs page for further details).
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
The University of East Anglia offers a range of Scholarships(opens in a new window); 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
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form(opens in a new window).
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk(opens in a new window)
International candidates are also encouraged to access the International Students(opens in a new window) section of our website.