Overview
As the world takes a leap into Artificial Intelligence, play an active part in its revolution here at the University where it all started
Key Features
Learn about cognitive robotics, build mathematical models for machine learning, and apply natural language processing techniques in large-scale data sets.
The aim of the Artificial Intelligence programme offered at The University of Manchester is to enable graduate computer scientists to deepen their knowledge in one or a few specialisms. Specifically, the programme aims to:
- Enable graduate computer scientists to deepen their knowledge in artificial intelligence (AI), so that they can identify and explain formalisms for knowledge representation and reasoning, and apply suitable machine learning methods to applications, considering their potential limitations
- Provide students with the opportunity to specialise in a variety of AI topics that provide a combination of skills that together address distinctive requirements
- Enhance students’ ability to communicate complex technical results, through submissions on laboratory work in course units.
- Provide students with the opportunity to develop, apply and evaluate advanced AI techniques through an individual project.
- Meet the needs of universities, industry, and other employers by supplying graduates with an ability to devise, apply, compare and evaluate advanced AI techniques.
Career opportunities
The development of artificial intelligence has defined, and will continue to define, the era in which we find ourselves. Our fundamental research seeks answers to the questions which could revolutionise AI – from how humans interact with robots to automatic to semantic search over the scientific literature.
As a postgraduate of this course, you’ll be specially trained in how to utilise and evolve our economy’s most impactful new technology and will be all the more employable for it. With your finely tuned knowledge, in combination the reputation our courses have for being among the best in the country, you enter industry with the gift of choice. Which sector will you choose? How will you apply your skills to better, or further, an industry?
In what is now being named, ‘The Age of Artificial Intelligence’, by researchers and reporters alike, you will learn to manipulate and harness the power of the world’s latest revolution – the forging of innovation, that in choosing this career, will continue long into your future.
Examples of some of the careers you could pursue include:
- Business Analyst
- Data Scientist
- Knowledge Engineer
- Natural Language Processing Engineer
Programme Structure
Courses include:
- Master's Project
- Logics for Knowledge Representation and Reasoning
- Cognitive Robotics and Computer Vision
- Transforming Text into Meaning
- Machine Learning
- Machine Learning
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
As there is high demand for this course we operate a staged admissions process with selection deadlines throughout the year.
Language
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Credits
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Artificial Intelligence View 403 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content.
In order to be accepted onto an MSc programme in the Department of Computer Science, applicants need to provide evidence of having achieved the required level in a recognised English language qualification.
- IELTS: overall score of 7.0 with no sub-test below 6.5
- TOEFL iBT: at least 100 overall with no sub-test less than 22. We do not accept 'MyBestScore'. We do not accept TOEFL iBT Home Edition
- Pearson PTE: at least 76 overall with no sub-test below 70
- Pre-sessional English run by the University Language Centre
Tuition Fees
-
International Applies to you
Applies to youNon-residents39400 GBP / year≈ 39400 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15300 GBP / year≈ 15300 GBP / year
Living costs
Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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