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.

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 masters 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.

Core units:

  • Artificial Intelligence Principles
  • Computational Maths and Statistics
  • The Ethics and Governance of Artificial Intelligence
  • Algorithms and Data Structures
  • Machine Learning Concepts
  • Knowledge Representation and Reasoning
  • Advanced Machine Learning
  • Robotics Science and Systems
  • Masters Project

Features and benefits of this course

  • Excellent facilities – The Department has an extensive range of equipment in our own specialist laboratories, together with the support of our dedicated technical staff.
  • Leading research – Our research is rated ‘internationally excellent’ with some rated ‘world-leading’ in the 2014 Research Excellence Framework (REF).
  • Thriving technology sector – Manchester is home to one of the largest creative and digital technology sectors outside of London, making us well placed to deliver this course.
  • Institute of Coding - The Department of Computing and Mathematics is part of the new £40m national Institute of Coding (IoC). Our masters students will have access to the IoC’s cutting-edge computer lab to hone their skills in this area.
  • 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.
  • Optional placement year – Boost your career prospects and put theory into practice with an industry placement.

Placement options

Strengthen your skillset by spending time in real-life situations, applying the skills you’ve learned throughout your academic studies in a practical industry environment.

This course is available with an optional placement year, which you’ll commence in your second year after you’ve completed your academic credits. The placement provides an opportunity to develop a professional career development plan. You’ll be able to apply the skills you’ve learned throughout your postgraduate studies in a practical workplace, and tailor your knowledge to suit a specific industry or skillset.

Students are expected to behave in a professional and business like manner when on placement or conducting projects with external partners.

A placement fee applies.

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

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written coursework / continuous assessment100

Course contact details

Name
Course Enquiries
Email
courses@mmu.ac.uk