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 to prepare for your final project and dissertation, which is completed during the summer.
- Informatics Research Review
- Informatics Project Proposal
- Introduction to Java Programming or Computer Programming for Speech and Language Processing (for students who do not already meet the programming requirements for the taught masters)
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
- Advanced Vision
- Automatic Speech Recognition
- Decision Making in Robots and Autonomous Agents
- Machine Learning & Pattern Recognition
- Natural Language Understanding, Generation, and Machine Translation
- Probabilistic Modelling and Reasoning
- Reinforcement Learning
- Robotics: Science and Systems
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, and 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).
The degree description and structure given here reflect changes being made for 2019 entry based on feedback from recent graduates. These changes aim to improve the student experience by providing a more focussed set of course options and a clearer structure. Degree programme information provided to current students (e.g., the 2018-19 MSc Handbook) should not be taken to fully reflect the nature of the programme starting in 2019.
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 spacecraft control.
Recent graduates are now working as software developers and engineers, programmers and data analysts for companies such as HarperCollins, J.P. Morgan, Nokia, IBM, Amazon, Soundcloud and the Bank of England.
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, plus experience in computer programming.
During your degree you must have completed the equivalent to 60 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 (eg. Induction and reasoning, Graph theoretic models, proofs), and Probability (concepts in discrete and continuous probabilities, Markov Chains etc.)
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.
Competent programming skills are 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 to 60 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 (eg. 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 the Artificial Intelligence degree.
Check whether your international qualifications meet our general entry requirements:
English language requirements
All applicants must have one of the following qualifications as evidence of their English language ability:
an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration
IELTS Academic: total 6.5 with at least 6.0 in each component
TOEFL-iBT: total 92 with at least 20 in each section
PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
CAE and CPE: total 176 with at least 169 in each paper
Trinity ISE: ISE II with distinctions in all four components
Degrees taught and assessed in English must be no more than three and a half years old at the beginning of your degree programme. IELTS, TOEFL, Pearson Test of English and Trinity ISE must be no more than two years old at the beginning of your degree programme.*
(*Revised 8/11/2018 to provide more accurate information on English language qualifications expiry dates.)
Find out more about our language requirements:
*(Revised 25 October 2018 to update fee deposit timescales.)
Tuition fee deposit
Applicants receiving an offer of admission, either unconditional or conditional, will be asked to pay a tuition fee deposit of £1,500 within 28 days to secure their place on the programme.
Any applicants who are required to pay will receive an offer with full details. (If there is no information on your offer about the deposit, then you are not required to pay.)
Find out more about tuition fee deposits:
- Fees for MSc Artificial Intelligence - 1 Year (Full-time)
- Fees for MSc Artificial Intelligence - 2 Years (Part-time)
- Fees for MSc Artificial Intelligence - 3 Years (Part-time)
Find out more about tuition fees and studying costs:
- Postgraduate loans and bursaries for Scottish/EU students
- School of Informatics Masters Scholarships
Find out more about 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)
We encourage you to apply at least one month prior to entry so that we have enough time to process your application. If you are also applying for funding or will require a visa then we strongly recommend you apply as early as possible. We may consider late applications if we have places available, but you should contact the relevant Admissions Office for advice first.
Due to high demand, this programme operates a number of selection deadlines. We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline.
Applicants who are not made an offer at a specific selection deadline will either be notified that they have been unsuccessful in securing a place on the programme, or if they do not hear then they are still being considered and their application will be carried forward to the next selection deadline for further consideration at that time.
If you have applied previously, please do not submit a further application.
|1||31 January 2019|
|2||30 April 2019|
|3||30 June 2019|
*(Revised 13 February to include extended gathered field application dates).
- School of Informatics Teaching Organisation
- 6th Floor, Appleton Tower
- Central Campus
- EH8 9LE