Applied Artificial Intelligence for Engineering at University of Greenwich - UCAS

Course options

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

Course summary

Develop your thinking and creativity as we search for the next big step in electronics. This Master's in Applied Artificial Intelligence for Engineering builds on the concepts of artificial intelligence and machine learning by creating new systems to provide intelligence. By developing new processing methods and data representations, we aim to establish the next big step in computing. The course considers what lies behind current technologies (e.g. AlphaZero, Siri, Alexa) and equips you to think beyond them - to analyse the needs for future technologies and to create and shape them. This course offers the opportunity to participate in a highly motivated intellectual environment with research-active tutors and like-minded peers while engaging with cutting-edge technologies. You'll be immersed in innovative and pioneering approaches to the field and become highly skilled. You'll also learn to apply your understanding to present and future real-world problems. What you should know about this course

  • Making use of our highly specialised equipment bought to support teaching and research you will not only develop the technical, but also practical skills required for your career.
  • You will learn to think outside of the box and reach your design goal more directly through innovative approaches.
  • Your designs will incorporate any necessities, like security, from the start, eliminating the need for later additions.
  • This course prepares you for what is out there now, as well as having the ability to develop the next steps in any area of electronics/computing.
  • This course is taught at our Medway Campus in Kent.


All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.

Assessment method

Students will be assessed through a variety of methods, such as: Classroom presentations, discussions and case-studies Critical reviews, looking at new areas of research Design and build projects and creating the related documentation/reports. Examinations.

Entry requirements

An undergraduate (honours) degree at 2:2, or above, in a relevant Engineering subject (Electronics, Computing, Networking, Electrical, Electronic, Robotics, Cybernetics, Intelligent Systems). Applicants without a degree that have professional and vocational experience (e.g. relevant industrial experience, Incorporated Engineer, Chartered Engineer status) may be considered if they demonstrate the potential to succeed on the course. Applicants from other backgrounds may be considered.

English language requirements

We accept a wide range of English language qualifications. For our English entry requirements, please click on the link below.

Fees and funding

Tuition fees

England £11000 Whole course
Northern Ireland £11000 Whole course
Scotland £11000 Whole course
Wales £11000 Whole course
EU £17450 Whole course
International £17450 Whole course

Additional fee information

These fees are currently set for 2024/25 entry. For more information, please visit:

Sponsorship information

We understand that the transition to University for Undergraduate students can be daunting and confusing when it comes to finances. The University of Greenwich has a wide range of bursaries, scholarships and other financial support measures to support students that require it most. More information can be found on our website at

Applied Artificial Intelligence for Engineering at University of Greenwich - UCAS