Taught course

Computing (Artificial Intelligence and Machine Learning)

Institution
Imperial College London · Department of Computing
Qualifications
MSc

Entry requirements

Our minimum requirement is a first-class degree in a subject with a substantial computing component.

You are required to sit GRE Quantitative Reasoning and Verbal Reasoning tests. There is no minimum requirement for GRE scores, though a strong application would include scores higher than 159 for Quantitative Reasoning and higher than 145 for Verbal Reasoning. See website for details.

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.

Months of entry

September

Course content

This specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours.

This taught postgraduate course is aimed at students who may not have studied computing exclusively, but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours. Study areas include: cognitive robotics, complexity, complex systems, computational finance, computer networks, and distributed systems.

Our MSc Computing Master's degrees are professionally accredited by the IET (Institute of Engineering and Technology).

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 7594 8298