Taught course

Artificial Intelligence

Institution
Manchester Metropolitan University · Department of Computing and Mathematics
Qualifications
MSc

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Entry requirements

This course is open to anyone with a UK honours degree in a computing-related subject – at least a 2:2 – or the international equivalent. We might also consider your application if you have a different kind of computing qualification, together with substantial experience in a computing-focused role.

International students please see mmu.ac.uk/international

Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification.

Months of entry

September

Course content

Overview

From driverless cars to voice recognition, Artificial Intelligence (AI), is progressing at a rapid rate and has become part of our everyday lives. With the research and development of new technologies, AI is fast becoming an essential part of how businesses and institutions operate. It is also becoming a vital part of the Industry 4.0 vision with the government estimating that AI could contribute £232bn to the UK economy by 2030.

On our MSc Artificial Intelligence course, you’ll be taught by academics who are experts in the area, many of whom are currently conducting research into the subject as part of our Centre for Advanced Computational Science research group. This ensures that our curriculum is based on research-informed content at the leading edge of this fast-paced field.

This course will build on your existing computing knowledge. We aim to equip you with the fundamental principles of AI to be able to critically evaluate the theories, techniques, tools and systems used in the field. And the interdisciplinary applications, allowing you to specialise in this exciting, developing area.

You’ll also complete an in-depth masters project with the support of our academic and technical team. By the time you complete our postgraduate degree in AI, you’ll be well placed to succeed in this high growth industry and ready to tackle the challenges facing businesses.

Career prospects

The advanced skills and understanding you’ll develop on our MSc Artificial Intelligence course can take you into a range of exciting roles in different industries.

You’ll be ideally placed to apply for specialist jobs such as AI/machine learning software engineer and AI data specialist. There are many links to the field of data science for even broader opportunities. As AI spreads into wider sectors, you’ll find opportunities in areas such as medicine, transport, economics and more. There is also the opportunity to pursue academic research via MPhil or PhD positions.

Careers support is available from the moment you join us, throughout your time here, and for up to three years after the completion of your course. We have a range of services available through the Department of Computing and Mathematics and the University Careers Service including dedicated careers and employability advisors.

Professional Accreditations and Endorsements

The Department of Computing and Mathematics is an educational affiliate of the British Computing Society, the Chartered Institute for IT in the UK (BCS), a member of the Oracle Academy and an Academy for the Computer Technology Industry Association (CompTIA).

The Department is an academic partner of Chartered Institute of Information Security (CIISec) who recognises our expertise in the field of information and cybersecurity.

We’re also part of the new £40m national Institute of Coding (IoC) and leading the charge to make coding accessible for all, training the North West’s future digital workforce.

Information for international students

For more information to support your studies in the UK, including course details, how to apply, and living in the UK see our website.

Qualification, course duration and attendance options

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

Course contact details

Name
Course Enquiries
Email
courses@mmu.ac.uk