Machine Intelligence, MSc Postgraduate prospectus

  • Building on the concepts of artificial intelligence and machine learning, machine intelligence aims to create new systems that more directly provide intelligence in order to establish the next big step in computing.
  • Develop your open minded thinking and creativity through various exercises, while creating the technology of tomorrow within your own MSc project.
  • Having recently invested over £1 million across the faculty, we continue to invest in specialised equipment to support our teaching and research with the latest trends.
  • January and September start for full-time and part-time study



1 years full time

2 years part time



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.


The aims of the programme are to:

  • Show you how to analyse, design, implement and manage intelligent, innovative technologies and systems in the context of engineering-related issues faced by society
  • Provide you with the skills to further your career in these areas
  • Support you in understanding the innovative and pioneering approaches in this field and apply them as solutions to present and future real-world problems.

What you'll study

Entry requirements

Applicants should have:

A recognised Bachelor's degree in a relevant engineering discipline (electronics, computing, networking, electrical and electronic engineering, robotics, cybernetics, intelligent systems or an equivalent qualification.

Students without a first degree, but with 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 programme.

Students educated in a language other than English should have an IELTS score of 6.0 (with a minimum of 5.5 in each skill) or equivalent.

Extra information


Assessments include examinations, coursework, group work and an individual project.


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.

Specialised equipment

Online resources: Students will require access to existing online resources such as Moodle, e-mails, library online resources, databases, Web of Knowledge, Scopus, Internet of Things, Internet of Everything.

Hardware: Computers, laboratory equipment to include but not limited to: experimental and laboratory equipment to support practical based learning (hardware and software development systems, robotics hardware, mobile robots, machine sensing and intelligence, Internet of Things, Sensors and Systems, WiFi development, cutting edge single board computers)

Software: Matlab, Simulink, C/C++ compilers, development systems, networking and communication protocol monitoring and development.

Robotics: A specialist robotics laboratory has been developed containing a Robothespian, an industrial robotic arm, mobile robots and other robotic actuators and systems.

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Find out more about our fees and the support available to you at our:

Come and get a feel for what learning and life is like with us.

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Open Day dates

Apply now and begin your journey.

How to apply

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