|Study location||United Kingdom, London (Medway Campus)|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
Bachelor’s degree in a relevant engineering discipline (electronics, computing, networking, electrical and electronic engineering, robotics, cybernetics, intelligent systems
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
IELTS: 6.0 (with a minimum of 5.5 in each skill)
At least 2 reference(s) must be provided.
A motivation letter must be added to your application.
MSc Machine Intelligence builds on the concepts of artificial intelligence and machine learning by creating new systems that more directly provide intelligence than the currently existing digital systems. By developing new processing methods and data representations the aim is to establish the next big step in computing.
The programme considers current technologies (e.g.: AlphaZero, AlphaGo, IBM Watson, Siri, Alexa), what is behind them, and then moves beyond them, by equipping learners with the necessary open-minded thinking to effectively analyse the needs for future technologies and the ability to create and shape them.
This programme offers the opportunity to participate in a highly motivated intellectual environment with research-active tutors and like-minded peers while exploring and engaging with cutting edge technologies.
The postgraduate marketplace in a broad range of Engineering and Business sectors needs forward thinking graduates capable of understanding future trends, to support and help businesses adapt and stay ahead of the curve. The programme’s postgraduates will be able to reach both highly technical and managerial career aspirations as they will obtain the relevant skills to move the industry forward into the age of intelligence.
Students are required to study the following compulsory courses.
Developing, Funding and Commercialising Technology (15 credits)
Design of Advanced Electronic Systems (15 credits)
Digital Signal Processing (DSP) (15 credits)
Intelligent Distributed Systems (15 credits)
Individual Research Project (60 credits)
Machine Intelligence (15 credits)
Research, Planning and Communication (15 credits)
Human & Machine Robotics (15 credits)
Securing Future Technologies (15 credits)
Postgraduate students from this programme will find employment opportunities as futurologists, engineers, scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar), in the public sector (local government, town and country planning), as an entrepreneur or they may wish to pursue further qualifications such as a PhD within the Faculty of Engineering and Science at the University of Greenwich to become even more specialised. City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future orientated intelligent systems engineers that will graduate from this MSc.