Artificial Intelligence MSc
Study modes: Full-time, Part-time
Programme website: Artificial Intelligence
This MSc is taught at the UK's longest established centre for artificial intelligence, which remains one of the best in the world.
Many of your courses will be taught by internationally known researchers spanning a wide range of areas in artificial intelligence and also drawing on research in related fields such as neuroscience, cognitive science, linguistics, and mathematics. We aim to give you the fundamental knowledge and practical skills needed to design, build, and apply AI systems in your chosen area of specialisation.
You will follow two taught semesters of lectures, tutorials, project work and written assignments. During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
In addition, about half your taught course credits must be chosen from areas of artificial intelligence. Course offerings follow the main research areas of our staff, with multiple course options available in natural language processing, machine learning, robotics, and related areas.
Example courses offered recently in artificial intelligence include:
- Accelerated Natural Language Processing
- Image and Vision Computing
- Automatic Speech Recognition
- Machine Learning & Pattern Recognition
- Natural Language Understanding, Generation, and Machine Translation
- Probabilistic Modelling and Reasoning
- Reinforcement Learning
- Advanced Robotics
- Machine Learning Theory
- Case Studies in AI Ethics
For your remaining courses, you may choose further options from artificial intelligence or from a wide range of courses offered in other areas of Informatics, including:
- computer systems
- theoretical computer science
- software engineering
- social and biological computation
Guidance is provided to help you choose a set of courses that work well together, giving you specialised expertise in your chosen area.
Please note: This degree has flexible course options. Students are only admitted onto the degree if they will have a viable set of options, but not all courses on offer are appropriate for all admitted students. The School of Informatics offers a wide selection of courses, but not all optional courses are guaranteed to run every year, and a few high-demand courses may limit enrolment to students on the most relevant degree(s).
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
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Our students are well prepared for both employment and academic research. The emphasis is on practical techniques for the design and construction of intelligent systems, preparing graduates to work in a variety of specialisms, from fraud detection software to recommendation systems and assistive robots.
You will be based in the School of Informatics’ main teaching building, Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University's Central Area.
IT facilities include computer labs with more than 250 high-spec machines and comprehensive support provided by dedicated computing staff.
The Informatics Student Support Team is based within the Informatics Teaching Organisation in Appleton Tower.
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Take a closer look at all our facilities on the University’s Virtual Visit site:
These entry requirements are for the 2023/24 academic year and requirements for future academic years may differ. Entry requirements for the 2024/25 academic year will be published on 2 October 2023.
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics or psychology.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
Competence in programming is essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.
During your degree you must have completed the equivalent of 60 SCQF credits or 30 ECTS credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.) Prior knowledge of probability concepts is especially important for this degree.
Students from China
This degree is Band B.
Check whether your international qualifications meet our general entry requirements:
English language requirements
You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 7.0 with at least 6.5 in each component.
- TOEFL-iBT (including Home Edition): total 100 with at least 23 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 185 with at least 176 in each component.
- Trinity ISE: ISE III with passes in all four components.
- PTE Academic: total 70 with at least 62 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.
Find out more about our language requirements:
If you receive an offer of admission, either unconditional or conditional, you will be asked to pay a tuition fee deposit to secure your place on the programme.
- £1,500 (this contributes towards your tuition fees)
Find out more about tuition fee deposits:
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School of Informatics scholarships
- DeepMind AI Scholarships
Scholarships and student funding
You can find funding opportunities, tuition fees and costs of living for prospective UK and international postgraduate students on the University website.
You are also encouraged to undertake your own research into the range of potential scholarships and other funding outside the University for which you may be eligible.
Search for scholarships and funding opportunities:
Select your programme and preferred start date to begin your application.
MSc Artificial Intelligence - 1 Year (Full-time)
MSc Artificial Intelligence - 2 Years (Part-time)
MSc Artificial Intelligence - 3 Years (Part-time)
|Programme start date||Application deadline|
|11 September 2023||31 March 2023|
Due to high demand on our programmes, the School of Informatics operates an application deadline of 31 March.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but will hold the majority of applications until the advertised deadline.
Decisions will be made as soon as possible once the deadline has passed. We expect to make the majority of decisions within eight weeks of the deadline.
The deadline may be extended if there are any places remaining on the programme.
|Programme start date||Application Deadline||Expected Decision date|
|11 September||31 March||31 May|
(Revised 10 November 2022 to clarify when decisions on applications will be made)
- School of Informatics Teaching Organisation
- Phone: +44 (0)131 650 5194
- Contact: email@example.com
- School of Informatics Teaching Organisation
- 6th Floor, Appleton Tower
- Central Campus
- EH8 9LE