Overview
The Artificial Intelligence programme from The University of Edinburgh courses are taught by internationally-known researchers spanning a wide range of areas in artificial intelligence that draw on research in related fields such as:
- neuroscience
- cognitive science
- linguistics
- 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.
Career opportunities:
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.
Job titles of our recent graduates include:
- VC Analytics
- Data Engineer
- Quantitative Developer
- Machine Learning Engineer
- Software Engineering Manager
- Dangerous Capabilities Research Engineer
Recruiting companies for recent graduates include Google, OpenAI and EPSRC.
Many of our MSc graduates go into research, teaching and further study. Recent examples include:
- Research Associate NLP/ML
- Research Fellow/Scientist
- Research Engineer in Artificial Intelligence
- Researcher and Machine Learning Engineer
- NLP Tutor and Demonstrator
University destinations for further study (typically PhD) include Oxford, Cambridge and St Andrews, as well as the University of Edinburgh.
Programme Structure
Courses include:
- Accelerated Natural Language Processing
- Computer Vision
- Automatic Speech Recognition
- Applied Machine Learning
- Advanced Topics in Natural Language Processing
- Probabilistic Modelling and Reasoning
- Reinforcement and Robot Learning
- Advanced Robotics
- Advanced Topics in Machine Learning
- Case Studies in AI Ethics
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Artificial Intelligence View 380 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents45410 GBP / year≈ 45410 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents18000 GBP / year≈ 18000 GBP / year
Additional Details
Part - time 2 years:
- National : £9,000
- International:£22,705
Part - time 3 years:
- National : £6,000
- International: £15,140
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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