Msc internet of things computer science

Queen Mary University of London
5.0
3 reviews
  • I very much enjoyed the course with amazing assessor Victoria Seed and I very much recommend this course to all. Everyone owes a huge thanks. Regards Geoff.
    ← | →
  • The course is perfectly designed and it is motivating.
    ← | →
  • Have knowledge about the prospective course and modules in depth. Be individual in your personal statement explaining why you want to do the course.
    ← | →

Postgraduate

In London

Price on request

The best Computer Engineering courses

See all

See all

Description

  • Type

    Postgraduate

  • Location

    London

Overview
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?

Facilities

Location

Start date

London
See map
67-69 Lincoln'S Inn Fields, WC2A 3JB

Start date

On request

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

5.0
excellent
  • I very much enjoyed the course with amazing assessor Victoria Seed and I very much recommend this course to all. Everyone owes a huge thanks. Regards Geoff.
    ← | →
  • The course is perfectly designed and it is motivating.
    ← | →
  • Have knowledge about the prospective course and modules in depth. Be individual in your personal statement explaining why you want to do the course.
    ← | →
100%
4.9
excellent

Course rating

Recommended

Centre rating

Student

5.0
25/03/2019
About the course: I very much enjoyed the course with amazing assessor Victoria Seed and I very much recommend this course to all. Everyone owes a huge thanks. Regards Geoff.
Would you recommend this course?: Yes

Student

5.0
22/03/2019
About the course: The course is perfectly designed and it is motivating.
Would you recommend this course?: Yes

Student Reviewer

5.0
04/03/2019
About the course: Have knowledge about the prospective course and modules in depth. Be individual in your personal statement explaining why you want to do the course.
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Full Time
  • Part Time
  • Engineering
  • School
  • Electronic Engineering
  • Internet
  • Networks

Course programme

Structure

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)

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.

Full-time study 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.

Part-time Study

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.

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.

Please check the School website for further module information.

Contact

Postgraduate Administrator
School of Electronic Engineering and Computer Science
Tel: +44 (0)20 7882 7333
email:

See related categories

Msc internet of things computer science

Price on request

The best Computer Engineering courses

See all

See all