About the course

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. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 1 Year(s)Fees: Not available

Intake	Location
Semester 1 (September), 2024	Edinburgh
Semester 1 (September), 2025	Edinburgh
Semester 1 (September), 2026	Edinburgh

　　

How to apply

Entry requirements for University of Edinburgh

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. 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 (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.

　　IELTS Academic: total 6.5 with at least 6.0 in each component

　　TOEFL-iBT: total 92 with at least 20 in each section

　　

English language requirements

　　7.0

　　Overall IELTS band score

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　　TOEFL Internet based overall score: 100.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomes

　　

Reviews and rankings

World ranking

　　30th / 1250

　　THE World ranking12th / 130

　　Complete University guide

　　

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