This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer. The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More -things- are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of -things- (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.
The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can: engineer new interactive products - things; acquire, fuse and process the data they collect from things; interact with, and interconnect these things as part of larger, more diverse, systems. The School of Electronic Engineering and Computer Science draws on its strengths of highly rated R&D centres of excellence in core subject areas comprising Networks, Cognitive Science, Antennas together with interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).
The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.
Queen Mary University of London, United Kingdom
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer. The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More -things- are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of -things- (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.
The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can: engineer new interactive products - things; acquire, fuse and process the data they collect from things; interact with, and interconnect these things as part of larger, more diverse, systems. The School of Electronic Engineering and Computer Science draws on its strengths of highly rated R&D centres of excellence in core subject areas comprising Networks, Cognitive Science, Antennas together with interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).
The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.
Queen Mary University of London, United Kingdom
Study in Australia
Study in Canada
Study in Germany
Study in United Kingdom
Study in USA
Study in Switzerland