Taught course

Artificial Intelligence for Sustainable Development MSc

Institution
UCL - University College London · Computer Science
Qualifications
MSc

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Entry requirements

A minimum of an upper second-class Bachelor's degree in computer science, mathematics, statistics, physics or natural sciences, or natural sciences from a UK university or an overseas qualification of an equivalent standard. Evidence should be included within the application to demonstrate suitable mathematical skills (to at least Mathematics A level), analytical skills and programming experience in a procedural language. The applicant must have good computational thinking skills as programming is a core part of the programme.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Good.

Further information can be found on our English language requirements page.

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses

Months of entry

September

Course content

Tackle unsolved challenges through this one-of-a-kind MSc programme that brings the technical side of Artificial Intelligence (AI) together with environmental and humanitarian issues. This is an incredible opportunity to find solutions to pressing problems in sustainable development. Taught at UCL, an international home of AI breakthroughs, this programme places graduates at the heart of a rapidly growing sector.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Phone
+44 (0) 20 3370 1214