Taught course

Artificial Intelligence

Institution
University of Southampton · Electronics and Computer Science
Qualifications
MSc

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Entry requirements

A UK bachelor’s degree with a minimum (2:1) degree (or equivalent) in a related discipline such as Computer Science, Programming, Software Engineering, Artificial Intelligence, Maths with Computing, and a high 2:1 in required modules. The required modules are: linear algebra (or another advanced maths module) and a programming language.

Months of entry

September

Course content

Our research led MSc in Artificial Intelligence covers the fundamental aspects of traditional symbolic and sub-symbolic aspects. This one year degree offers wide-ranging options including intelligent agents, complexity science, computer vision, robotics and machine learning techniques and helps develop a broad skill set suitable for further study or application development.

On this degree, you will learn from world-class researchers working in artificial intelligence fields such as computer vision, evolutionary computing, intelligent agents, game theory, deep learning and other machine learning methods. You will develop core data analysis skills and explore both traditional and state-of-the-art aspects of artificial intelligence and machine learning.

This research-led MSc takes a contemporary approach and covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.

The programme will give you a solid awareness of the key concepts of artificial intelligence. You will also learn the techniques that form the current basis of machine learning and data mining. You will develop a wide-ranging skill set that supports further study or that you can use in application development.

As a result of the leading research being undertaken at Southampton, the course is able to offer a wide range of options that cover state-of-the-art modern techniques, which directly reflect research directions in ECS. These include:

  • intelligent agents
  • complexity science
  • computer vision
  • robotics
  • machine learning techniques, such as support vector machines and deep learning

Information for international students

All applicants must demonstrate they possess at least a minimum standard of English language proficiency: Band C, IELTS 6.5 overall, with a minimum of 6.0 in all components.

Fees and funding

Scholarships, bursaries, sponsorships or grants may be available to support you through your course. Funding opportunities available to you are linked to your subject area and/or your country of origin. These can be from the University of Southampton or other sources.

Qualification, course duration and attendance options

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

Course contact details

Name
Physical Sciences and Engineering
Email
fpse-mscapply@southampton.ac.uk
Phone
+44 (0)23 8059 2630