Course options
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Qualification
MSc - Master of Science
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Location
Main Campus
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Study mode
Full time
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Start date
SEP
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Duration
1 Year
Course summary
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.
Modules
Tuition fees
- United States
- Afghanistan
- Albania
- Algeria
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- Angola
- Antigua & Barbuda
- Argentina
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- Austria
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- England
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- Estonia
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- Finland
- France
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Greece
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- Guinea
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- Guyana
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- Iceland
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- Ivory Coast
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- Kosovo
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- Laos
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- Lebanon
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- Liberia
- Libya
- Liechtenstein
- Lithuania
- Luxembourg
- Macedonia
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- Malta
- Marshall Islands
- Mauritania
- Mauritius
- Mexico
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- Moldova
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- Mongolia
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- Morocco
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- Namibia
- Nauru
- Nepal
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- Niger
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- Palestinian Authority
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- Papua New Guinea
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- Peru
- Philippines
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- Republic of Ireland
- Romania
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- Saudi Arabia
- Scotland
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- Serbia
- Seychelles
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- Sweden
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- Tunisia
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- Turkmenistan
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- United Kingdom
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- Zambia
- Zimbabwe
£ 36,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
University of Manchester
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University League Table
22nd
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Campus address
The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, England
Subject rankings
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Subject ranking
11th out of 117 2
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Entry standards
/ Max 227192 84%12th
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Graduate prospects
/ Max 10094.0 94%9th
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Student satisfaction
/ Max 42.96 74%75th
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