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. Industrial Experience, The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student-s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement. Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.
The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement. If you do not secure a placement you will be transferred onto the 1 year FT programme.
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. Industrial Experience, The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student-s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement. Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.
The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement. If you do not secure a placement you will be transferred onto the 1 year FT programme.
Queen Mary University of London, United Kingdom
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