menu icon
Book your open day visit nowClick to book open day
Machine Intelligence, MSc

Different course options

Full time | Medway Campus | 1 year | JAN-24

Study mode

Full time

Duration

1 year

Start date

JAN-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Computer Controlled Machining

Course type

Taught

Course Summary

This Master's in Machine Intelligence 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.

Graduates 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), and as an entrepreneur. You may also wish to pursue further qualifications, such as a PhD, 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 graduate from this course.

Modules

This Module aims to help students understand how current technologies manage to assist in their daily tasks and to what degree these technologies manage to achieve this. When one moves towards more abstract tasks such as speech recognition and object detection, then there are however significant challenges. So far, numerous attempts have been made to resolve these challenges, but biological systems still outperform technology in certain areas. So, how can lessons learned from biology help us to design and control more intelligent systems.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,500

International fees
Course fees for EU and international students

For this course (per year)

£16,300

Entry requirements

Applicants should have: An appropriate 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 course.

Department profile

At the University of Greenwich, we’re proud that our students have ranked us in the WhatUni Student Choice Awards 2022 as the top university in the UK for postgraduate study. You'll learn from expert teaching staff with close connections to industry and prepare yourself for global opportunities. The Faculty of Engineering and Science covers courses across STEM subjects (Science, Technology, Engineering and Mathematics). We are operational...more