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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.

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:

  1. engineer new interactive products – things;
  2. acquire, fuse and process the data they collect from things;
  3. 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.

Structure

MSc Internet of Things is currently available for one year full-time, two years full-time with a year in industry, and two years part-time. You will take a total of eight taught modules followed by final examinations and the MSc research project (dissertation). The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

MSc Internet of Things is currently available for one year full-time study, two years part-time study, or two years full time with the second year spent in industry.

Semester 1 - 4 modules

  • Introduction to IOT
  • Enabling Communication Technologies for IOT
  • Applied Statistics

Plus one from the following:

  • Machine Learning
  • Big Data Processing
  • Data Mining

Semester 2 - 4 modules

  • Mobile Services
  • Data Mining
  • Security and Authenticaton
  • Data Analytics

One from the following:

  • The Semantic Web
  • Digital Media and Social Networks
  • Cloud Computing

Semester 3

  • Project (mandatory; must pass)

Year 2

  • Industrial Placement and Industrial Placement Project

Learning and teaching

As a student at Queen Mary, you will play an active part in your acquisition of skills and knowledge. Teaching is by a mixture of formal lectures and small group seminars. The seminars are designed to generate informed discussion around set topics, and may involve student presentations, group exercise and role-play as well as open discussion. We take pride in the close and friendly working relationship we have with our students. You are assigned an Academic Adviser who will guide you in both academic and pastoral matters throughout your time at Queen Mary.

Teaching for modules includes a combination of lectures, seminars and a virtual learning environment. Each module provides 36 hours of contact time, supported by labs and directed further study.

Assessment

Students are assessed by a combination of coursework and exams. A few modules are assessed by coursework only. If a module is assessed by means of coursework alone, this is usually in the form of a research project or dissertation, and the tutor project supervisor offers guidance and support in the researching and writing of this piece of assessment.

Dissertation

You will also be assessed on a supervised 10,000- to 15,000-word dissertation.

Fees

Tuition fees for Home and EU students

2019/20 Academic Year

Thick Sandwich £9,900

Part-time study is not available for this course

Tuition fees for International students

2019/20 Academic Year

Thick Sandwich £21,250

Part-time study is not available for this course

Funding

There are a number of sources of funding available for Masters students.

These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.

Queen Mary bursaries and scholarships

We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.

Find out more about QMUL bursaries and scholarships.

Graduate employment

  • £37,166 – is average salary of our postgraduates on completing their course
  • 400+ employees and training organisations visited the campus last year
  • 325+ students placed into 45 local charities under our award-winning QProjects scheme (Guardian employability initiative of the year 2014)

Queen Mary's Computer Science postgraduates go on to work in a wide variety of careers, mostly within IT and information services. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:

  • Technical Analyst, Credit Suisse
  • Interactive Systems Developer, Sky
  • Software Developer, Accenture
  • Analyst Technical Associate, Bank of America Merrill Lynch
  • IT Contractor, FDM
  • Computer Analyst, ITRS Group
  • IT Developer, Qube Global Software
  • Team Manager, Bromley-by-Bow Centre
  • Computer Programmer, Rightmove
  • Computer Consultant, Mac Experts Ltd
  • Graduate Engineer, Ministry of Defence

Visit the MSc Internet of Things with Industrial Experience page on the Queen Mary University of London website for more details!

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