MSc Artificial Intelligence
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- September 2025
Course Overview
Artificial Intelligence (AI) is a rapidly evolving field in computing sciences focused on developing intelligent systems that solve real-world problems by learning from human intelligence and behaviour. AI has significantly impacted nearly every aspect of our lives, fuelling a growing demand for professionals with advanced knowledge and skills.
If you’re interested in AI, regardless of your background, our cutting-edge MSc in Artificial Intelligence will prepare you for a specialist career in this rewarding field. We offer flexible study options, allowing you to complete the course full-time over 12 months or part-time over 24 or 36 months.
Depending on your experience and interests, your studies will typically begin with foundational topics such as Python programming, an introduction to AI, and professional skills. The course then progresses to advanced, specialised modules that broaden and deepen your AI expertise. Your studies will focus on real-world applications of AI and industry relevance, while also exploring cutting-edge techniques and emerging trends in this dynamic field.
Our School of Computing Sciences is internationally recognised for excellence in research, teaching, innovation, and enterprise, particularly in AI and related fields. With numerous grants awarded by UK Research Councils and Innovate UK, our faculty members are leaders in world-class research and pioneering innovations.
This course is uniquely positioned within the world-renowned Norwich Research Park (NRP) and benefits from connections to the UK and global technology sectors, including companies such as Apple, Aviva, BT, and IBM. Building on the School’s established industry partnerships and NRP resources, you’ll have opportunities to collaborate with world-class experts across diverse sectors, including healthcare, agriculture, environmental science, marine science, renewable energy, public sector bodies, and beyond.
Study and Modules
Structure
The course is structured to include a series of taught I 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 your course starts or soon after.
Compulsory Modules
Optional A Modules
(Credits: 40)Optional B 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
Taught modules are typically delivered with a series of lectures that are then underpinned by laboratory classes and sometimes seminars. The usual pattern for teaching a module starts with a 2-hour lecture which is then followed by a 2-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 about 4-8 additional hours per week for doing independent study and coursework assignments.
Coursework is done either individually or by group work. For group work, groups usually consist of 2 or 3 students, either formed by the students themselves or allocated by the lecturers.
The dissertation is undertaken on a practical real-world project. For full-time study, project choices are made in the spring semester with the work carried out throughout the summer. For part-time students, project selection is made in the penultimate year of study, with the dissertation carried during 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, almost all the modules are assessed with two coursework assignments with different weights with a purpose of learning real-world problem-solving skills and gaining more practical experiences.
The dissertation is assessed by practical demonstration or presentation and oral examination.
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, provided that you gain some experience of programming (in Python ideally) prior to the start of your course. If you haven’t programmed in Python before you will have to learn some basics of the Python Programming Language by yourself before the start of the course by using on-line open sources or the recorded lectures provided by us.
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, provided that you gain some experience of programming (in Python ideally) prior to the start of your course. If you haven’t programmed in Python before you will have to learn some basics of the Python Programming Language by yourself before the start of the course by using on-line open sources or the recorded lectures provided by us.
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):
-
IELTS: 6.0 overall with minimum 6.0 in Writing and Speaking and 5.5 in Listening and Reading
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 2 years of the course start date.
If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.
-
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
Fees and Funding
Tuition fees for the Academic Year 2025/26 are:
-
UK Students: £11,775
-
International Students: £24,500
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).
We estimate living expenses at £1,136 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; 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.
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
International candidates are also encouraged to access the International Students section of our website.
Employability
After the Course
After completing this course, you’ll have multiple options and opportunities by either going to industries and businesses as an AI system developer or adaptor or becoming an AI researcher in academic or educational institutes, or doing a PhD in AI, Machine Learning and/or Data Science.
Careers
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.