Enhance your knowledge with a master's in artificial intelligence (AI) at the University of Southampton. Our researchers draw on their own research to offer modules on state-of-the-art fields like computer vision, robotics and machine learning.
You can choose among these to develop the specialist skills you'll need for further study or a career in application development.
This AI master's will give you a solid grounding in traditional artificial intelligence, and you'll study emerging topics like:
intelligent agents
deep learning
evolutionary algorithms
bio-inspired robotics
simulation modelling
We’ll give you access to specialist project labs, computer workstations, and online tools to support your learning in an ideal environment. Our researchers will equip you to handle new and unique challenges in a variety of specialist AI fields. At the end of the course, you’ll be able to design, build, analyse and problem-solve in many areas relating to artificial intelligence.
We also offer a fully online MA Artificial Intelligence. This course is ideal if you want to explore the societal, ethical, and strategic impacts of AI.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Course lead
Your course leader has research interests in human interaction with robot swarms. Visit Dr Mohammad Soorati’s staff profile to learn more about his work.
“What I enjoy most about my course is the fact that I have been able to choose my modules and shape my course as I wanted it. I have gone down an AI path and selected many Machine Learning and Artificial Intelligence modules.”
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
overall score
6.5
reading
6.0
writing
6.0
speaking
6.0
listening
6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before you start your course.
Pre-masters
If you don’t meet direct entry requirements, you can apply to complete a Pre-Master's programme through our partnership with OnCampus.
This is a full-time master’s course. You’ll study for 12 months, from September to the following September.
In the first 9 months (semesters 1 and 2) you’ll study the taught part of your course.
This is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You’ll take exams at the end of both semesters.
You’ll begin preparing for your research project and dissertation during semester 1, and continue this work in semester 2.
For the last 3 months, over the summer, you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
We teach most modules through a mixture of lectures, seminars and computer-based practical work. You will enhance your general knowledge of AI and develop key skills in:
methods of design, analysis, implementation and verification
methods of research and enquiry
presenting technical information concisely to a range of audiences
working in teams towards a common goal
recognising legal and ethical issues in artificial intelligence
You’ll also be able to choose between several diverse topics to suit your interests.
Assessment
Depending on the modules you take, we'll assess your progress through a mixture of:
exams
lab reports
technical reports
design exercises
individual and group projects
your compulsory dissertation
Dissertation
This is an opportunity to demonstrate your mastery of all relevant techniques and methods of enquiry. You will carry out a research project lasting 3 to 4 months, assessed by a 15,000-word dissertation.
Academic Support
Your personal tutor will meet you by request to give advice, help you choose modules, and provide general support if you need it. You can talk to your module tutors about any subject-specific questions.
You’ll also meet weekly with a mentor, usually a postgraduate student who has graduated from the course, for extra guidance.
Careers and employability
Employability skills
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.
The skills you can expect to focus on and gain from this course include:
Research
Critical thinking
Commercial awareness
Self-management
Confidence
Communication
Teamwork
Creativity
Networking
Adaptability
Problem solving
Resilience
The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
Job prospects for MSc Artificial Intelligence graduates
£50k
Average professional salary
92%
In a skilled profession or further study
95%
Graduate employment rate
Source
*Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course.
Work experience opportunities
Choosing to do work experience is a great way to enhance your employability, build valuable networks, and evidence your potential. Learn about the different work and industry experience options at Southampton.
We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you. This support includes:
work experience schemes
CV and interview skills and workshops
networking events
careers fairs attended by top employers
a wealth of volunteering opportunities
study abroad and summer school opportunities
We have a vibrant entrepreneurship culture and our dedicated start-up supporter, Futureworlds, is open to every student.
Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University.
Your tuition fee covers the full cost of tuition and any exams. The fee you pay will remain the same each year from when you start studying this course. This includes if you suspend and return.
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Southampton Electronics and Computer Science Global Scholarship
There are 12 Electronics and Computer Science scholarships of £5,000 each, available for international students applying to study for an Electronics and Computer Science (ECS) undergraduate or postgraduate master's degree.
There are 11 Spärck AI Scholarships available, covering full tuition fees and a yearly living allowance of £20,780 inline with UKRI stipend rates. These scholarships are open to UK and International students applying to study an eligible postgraduate course.
Find out more about the Spärck AI Scholarship, including eligibility, and how to apply.
Other postgraduate funding options
A variety of additional funding options may be available to help you pay for your master’s study. Both from the University and other organisations.
The deadline to apply for this course is Wednesday 2 September 2026, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
International students
The deadline to apply for this course is Wednesday 19 August 2026, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
Application assessment fee
There is no application assessment fee for postgraduate courses starting in 2026.
Supporting information
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
your knowledge of the subject area
why you want to study a postgraduate qualification in this course
how you intend to use your qualification
References are not required for this programme.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We receive a high volume of applications for this course. This means you may not receive a response to your application for up to 12 weeks.
If we offer you a place, you will need to accept the offer within 30 working days. If you do not meet this deadline, we will offer your place to another applicant.
Unfortunately, due to number of applications we receive, we may not be able to give you specific feedback on your application if you are unsuccessful.