Artificial Intelligence MSc

Artificial Intelligence · Masters

MSc Artificial Intelligence at the University of Edinburgh is taught at the UK's longest-established academic centre studying artificial intelligence, within the School of Informatics — ranked 1st in the UK for research power in Computer Science and Informatics (REF 2021). The one-year full-time programme (also part-time up to three years) lets students tailor around half their taught credits from AI areas such as natural language processing, machine learning and robotics — recent courses include Accelerated Natural Language Processing, Computer Vision, Reinforcement and Robot Learning and Case Studies in AI Ethics — before a summer dissertation.

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Course snapshot

Duration

1 year (full-time)

Study mode

Full-time, Part-time

Intake

September

Tuition

International

Provider

University of Edinburgh

Location

Edinburgh, Scotland

About this programme

Courses are taught by internationally known researchers and draw on related fields including neuroscience, cognitive science, linguistics and mathematics, aiming to give the fundamental knowledge and practical skills needed to design, build and apply AI systems in a chosen specialisation. Entry is a UK 2:1 honours degree (or international equivalent) in informatics, AI, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics or psychology; entry is competitive and a typical offer normally requires a UK first-class degree. Programming competence is essential (at least one of C/C++, Java, Python, R, Matlab, Haskell, ML), alongside 60 SCQF/30 ECTS credits of mathematics covering calculus, linear algebra, discrete mathematics and probability. English: IELTS Academic 7.0 with at least 6.5 in each component. A £1,500 deposit secures an offer.

What you will need

Qualifications

  • UK 2:1 honours degree (or international equivalent) in informatics, artificial intelligence, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics or psychology; competitive entry, typical offer normally UK first-class honours
  • Programming course completed in at least one of C/C++, Java, Python, R, Matlab, Haskell, ML
  • Equivalent of 60 SCQF credits / 30 ECTS credits of mathematics covering calculus, linear algebra, discrete mathematics and mathematical reasoning, and probability

Subjects

  • Informatics
  • Computer Science
  • Mathematics
  • Programming

English language

IELTS Academic total 7.0 with at least 6.5 in each component; TOEFL-iBT and other accepted qualifications at equivalent levels (as published)

Fees & costs

Tuition category: International

Verify current tuition with the provider.

Official programme information: https://study.ed.ac.uk/programmes/postgraduate-taught/107-artificial-intelligence

Course fees vary by institution and programme. We can help you understand the likely costs for your study plan and destination before you commit.

Where this programme can take you

Career paths

  • Data Engineer
  • Machine Learning Engineer
  • Quantitative Developer
  • Software Engineer
  • Solutions Engineer
  • Cyber Security Data Scientist
  • Research Engineer in Artificial Intelligence

Industry demand

Recent graduates were recruited by Apple, Amazon, Meta, OpenAI, Google DeepMind, Microsoft, EPSRC, Rockstar Games, Monzo Bank, Siemens, Blackrock and WiseTech Global; many graduates also enter research or PhD study at Oxford, Cambridge, St Andrews and Edinburgh.

Destinations for this programme

About the provider

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