Machine Intelligence MSc

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.

Outcomes

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 will study

Students are required to study the following compulsory modules.

• Developing, Funding and Commercialising Technology (15 credits)
• Design of Advanced Electronic Systems (15 credits)
• Machine Sensing (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 Technologies (15 credits)

Careers

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.

Visit the Machine Intelligence MSc page on the University of Greenwich – Medway Campus website for more details!