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Artificial Intelligence at Manchester Metropolitan University - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

From driverless cars to voice recognition, Artificial Intelligence (AI) is progressing rapidly 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 Industry 4.0, with the government estimating that AI could contribute £232bn to the UK economy by 2030. On our MSc Artificial Intelligence degree, you’ll be taught by academics who are experts in the area – many of whom are currently conducting research as part of our Advanced Computational Science research group. This ensures that our curriculum is based on research-informed content at the cutting 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 so that you’re able to critically evaluate the theories, techniques, tools and systems used in the field, and the interdisciplinary applications, allowing you to specialise according to your individual interests. 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 contemporary challenges facing businesses and society. Features and benefits

  • Optional Placement Year – This course is available with an optional industrial placement year, giving you the chance to tailor your knowledge to suit a specific industry or skill-set. This is an excellent opportunity to put theory into practice and gain transferable workplace skills, providing a real boost to your CV when you graduate. A placement fee of £1,850 applies.
  • Learn alongside world-leading research – 86% of our research outputs in Computer Science are rated world-leading and internationally excellent (REF, 2021).
  • Professional standards – We’re an Academy for the Computer Technology Industry Association (CompTIA). We deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.
  • Institute of Coding – The Department of Computing and Mathematics is part of the £40m national Institute of Coding (IoC). Our students have access to the IoC’s cutting-edge computer lab to hone their skills in this area.
  • We’re leading the Centre for Digital Innovation – Our AI researchers provide strong leadership in the region through the Centre for Digital Innovation. We collaborate across disciplines to innovate in intelligent healthcare, precision agriculture, smart energy, and human motion analysis and sports. We’re helping colleagues understand the ethical and social impact of AI to make responsible and effective decisions.
  • Professional study environment – We’ve invested over £115 million to transform the way we teach and the way our students learn. The new Dalton building is equipped with dynamic learning spaces, world-class teaching and research facilities and collaborative study zones. This means you’ll graduate with the skills and experiences employers look for.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

Entry requirements

Please see our website for information on entry requirements.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For further information: https://www.mmu.ac.uk/study/postgraduate
Artificial Intelligence at Manchester Metropolitan University - UCAS