Course summary
Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains. This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.
Entry requirements
We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Fees for entry in 2023 have not yet been set.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL