Taught course

Applied Artificial Intelligence for Engineering

Institution
University of Greenwich · School of Engineering
Qualifications
MSc

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.

For more information, use our contact form or call us on 020 8331 9000.

You can also read our admissions policy.

Months of entry

January, September

Course content

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.

Please visit our website for more information about this course.

Information for international students

Please visit our website for more information for international students.

Fees and funding

Please visit our website for funding information.

Please visit the course page on our website for fees information specific to this course.

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 Enquiry
Phone
020 8331 9000