Places on this programme are limited. We will give equal consideration to all applications received by 17 June 2018. We will still accept applications received after this date, but may not be able to offer a place if the programme is full.
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:
- 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.
Why study your MSc in Computer Science at Queen Mary?
Our research-led approach
Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.
Our strong links with industry
- We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft
- Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
- Industrial projects scheme - To support industrial experience development, our you can to do your final project in collaboration with an industrial partner.
The Institute of Engineering and Technology
The IET brings over 25 years' experience of programme accreditation against professional standards for IEng and CEng status and can help you with achieving professional registration.
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partially meeting the academic requirement for registration as a Chartered Engineer.
MSc Internet of Things (Data) is currently available for one year full-time study, two years part-time study.
Full-time with Industrial Experience
We offer an industrial experience option on all our full-time taught MSc programmes combining academic study with a one-year industrial placement.
Taking this option as part of your degree gives you a route to apply your skills in a professional context, giving you an important edge in the graduate job market.
Although we cannot guarantee a placement (employers conduct their own application and interview processes), we provide help
to identify suitable opportunities and, as a leading research School, we have excellent links with industry. We can also help you with writing your job applications and preparing for interviews.
If you are an international student, the placement option also allows you to gain valuable UK work experience; as well as this, being registered on a degree with industrial experience will mean your student visa will cover the duration of the two-year course
Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.
Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.
Important note regarding Part Time Study
We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator
Internet of Things (Data) MSc
The interaction and communication between billions of devices produces and exchanges data related to real-world objects (i.e. Things). This MSc develops your skills in data mining and Big Data analysis to better understand, utilise and leverage this data.
Semester 1 - 4 modules
- Introduction to IOT
- Enabling Communication Technologies for IOT
- Applied Statistics
One from the following:
- Machine Learning
- Big Data Processing
- Data Mining
Semester 2 - 4 modules
- Mobille Services
- Data Mining
- Security and Authenticaton
- Data Analytics
One from the following:
- The Semantic Web
- Digital Media and Social Networks
- Cloud Computing
Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.
We aim to deliver your programme so that it closely matches the way in which it has been described to you by QMUL in print, online, and/or in person. Please be assured that we review our modules on a regular basis, in order to continue to offer innovative and exciting programmes.
Please check the School website for further module information.
School of Electronic Engineering and Computer Science
Tel: +44 (0)20 7882 7333
The normal entry requirement for the MSc in Internet of Things is the equivalent of a British first or good second class honours degree in Computer Science, Electronic Engineering, Maths, Physics or related disciplines is required. We will assess your suitability for the programme individually.
Good knowledge of computer programming (in a modern procedural language such as C or in an Object-oriented programming language such as C++,Java or Python) is highly recommended for students. Otherwise, students will need to select Advanced Program Design as the optional module for the first semester in order to fulfill the requirements for the remaining modules.
Students from outside of the UK help form a global community here at Queen Mary. For detailed country specific entry requirements please visit the International section of the QMUL website. If your first language is not English, you must provide evidence of your English language proficiency. Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent. Find details on our English language entry requirements here.
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.
For every hour spent in classes you will be expected to complete further hours of independent study. Your individual study time could be spent preparing for, or following up on formal study sessions; reading; producing written work; completing projects; and revising for examinations.
The direction of your individual study will be guided by the formal study sessions you attend, along with your reading lists and assignments. However, we expect you to demonstrate an active role in your own learning by reading widely and expanding your own knowledge, understanding and critical ability.
Independent study will foster in you the ability to identify your own learning needs and determine which areas you need to focus on to become proficient in your subject area. This is an important transferable skill and will help to prepare you for the transition to working life.
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.
You will also be assessed on a supervised 10,000- to 15,000-word dissertation.
Our outstanding resources
- We offer our students use of their own high- specification computing and research labs, hostings over 350 state-of-the-art computers for exclusive use by our students.
- Our spectrum of research areas is supported by a range of specialist research labs offering cutting edge tools and technology including our augmented human interaction (AHI) laboratory combining pioneering technologies of full-body and multi-person motion capture, virtual and augmented reality systems and advanced aural and visual display technologies. We also have specialist laboratories in multimedia; telecommunication networks.
- The Antennas Measurement Lab (AML) specialises in high quality measurements for the purposes of antenna design. It is one of the most comprehensive in a European university. It includes a Microwave CATR reflector, a general purpose anechoic chamber and a body-centric wireless sensor lab. MSc students would typically use this lab during their final project.
Have a look around by visiting our facilities pages for further information.
Tuition fees for Home and EU students2018/19 Academic Year
Full time £9,250
Part time £4,650
Tuition fees for International students2018/19 Academic Year
Full time £19,500
Part time £9,750
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.
Alternative sources of funding
Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.
Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.
Download our Postgraduate Funding Guide [PDF] for detailed information about postgraduate funding options for Home/EU students.
Tel: +44 (0)20 7882 5079
Other financial help on offer at Queen Mary
We offer one to one specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Our Advice and Counselling Service also has lots of Student Advice Guides on all aspects of finance including:
Tel: +44 (0)20 7882 8717
- £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
Throughout the course, postgraduates have access to a careers programme to prepare them for applying for work after graduation. This programme includes workshops on job hunting and job applications as well as employer events to facilitate networks and help students to explore their options.
Recent careers events open to Computer Science postgraduates include the IT and Technology Fair, featuring Accenture, Babcock, BskyB, FactSet, Framestore, IBM, one-to-one sessions with Morgan Stanley, IBM and Accenture, IT company presentations, and Start Up Stand Up for those interested in working with technology start ups and SMEs.
Queen Mary’s location between Canary Wharf, the City and the Olympic Village redevelopment means that there are substantial opportunities for on campus and local part time work and work experience. On campus there are 1200 job and volunteer opportunities ranging from E-learning Assistant to Website Administrator and from Society President to Student Mentor. QTemps job agency offers work suitable for current students and recent graduates, QMSU Volunteering facilitates volunteering and QM JobOnline hosts over 800 part time and full time job vacancies.
Read more about our careers programmes and range of work experience opportunities on the Queen Mary Careers pages.