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MSc - Master of Science
The University of Manchester
Full Time
SEP-25
12 months
Select a course option
MSc - Master of Science
The University of Manchester
Full Time
SEP-25
12 months
Select a an exam type
Course description
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.
Teaching and learning
Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as the medical, health and life sciences and the humanities.
Coursework and assessment
Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.
Career opportunities
Students following the Artificial Intelligence pathway have all the career choices and options as described for general Advanced Computer Science.
In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern AI formalism and technologies such as Natural Language Processing, Machine Learning, and Semantic Technologies. This includes the obvious positions in the games industry, but also positions in finance, commerce, and scientific research, and many more.
We require a First or strong Upper Second-class honours degree (2:1 with 65% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content. When assessing your academic record, we take into account your grade average, references and the standing of the institution where you studied your qualification. Applicants with extensive Computer Science industrial experience and a 2:I 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.
Students living in
Domestic
£14,500 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£36,000 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£36,000 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
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