MSc IoT Course
This is a One year full-time, two years part-time or two years full-time with industrial experience. It is based in the IoT2US Lab and MSc can become members of this Lab. It has 3 pathways: Data Processing, Smart Object and Intelligent Sensing.
Key themes: Connected World, Smart Devices, Wearables, Smart Environments, Machine-to-machine (M2M), Smart Cities, Healthy Living, Intelligent Tagging and Sensing.
A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. This is now a reality: parts of buildings can now interact with each other, smart vehicles can be autonomously controlled and humans can interact with all these using smart phones and wearables. 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. [More ->] 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), the Centre for Digital Music (C4DM).