MSc Applied Artificial Intelligence for Engineering

Tuition fee
Apply by
Start date
Jan 2027
Sep 2027
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 days after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview

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.

Key Program Highlights

  • 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.

Requirements

The requirements may vary based on your selected study options.
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Modules

  • Developing, Funding and Commercialising Technology
  • Design of Advanced Electronic Systems
  • Machine Sensing
  • Intelligent Distributed Systems
  • Individual Research Project
  • Machine Intelligence
  • Research, Planning and Communication
  • Human & Machine Robotics
  • Securing Technologies
  • Academic English for Postgraduates (Engineering)

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Tuition fee
Apply by
Start date
Jan 2027
Sep 2027
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 days after your application is submitted
Backlogs accepted
This course accepts backlogs