StudyQA — Master: Internet of Things — Queen Mary University of London (Page 4)

Description Contents Requirements Funding

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.

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.

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.

Core modules

Applied Statistics
Data Analytics
Enabling Communication Technologies for IoT
Introduction to IoT
Mobile Services
Research Project
Security and Authentication

Option modules

Machine Learning
Big Data Processing
Data Mining
The Semantic Web
Digital Media & Social Networks
Cloud Computing

Internet of Things (Engineering) MSc

This MSc explores the human and machine interfaces and interaction between embedded systems, Smart Objects and Humans.

Core modules

Enabling Communication Technologies for IoT
Introduction to IoT
Mobile Services
Research Project
Security and Authentication

Option modules

21st Century Networks
Cloud Computing
Embedded Systems
Interactive System Design
Mobile and WLAN Technologies
Network Modelling and Performance
Real-Time and Critical Systems

Internet of Things (Intelligent Sensing) MSc

This MSc is focussed on developing devices, systems and services that can communicate and analyse, process and interpret data from multi-modal sources and devices.

Core modules:

Enabling Communication Technologies for IoT
Fundamentals of DSP
Graphical User Interfaces
Introduction to IoT
Mobile Services
Research Project
Security and Authentication

Option modules

Cloud Computing
Design for Human Interaction
Introduction to Computer Vision
Machine Learning
Real-time Digital Signal Processing
Techniques for Computer Vision

Requirements

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.
IELTS 7.0
Degree transcripts. Please provide a transcript of your degree(s). If you have not yet completed your degree please provide a transcript of your results achieved to date.
If your degree was from an overseas institution, you should supply a transcript of your marks for each year of your studies and a copy of your degree certificate together with a certified translation if the document is not in English. Please note that original documentation will be required before you enrol. International applicants are also advised to include high school transcripts
Please provide the contact details of two referees, at least one reference must be from an academic referee who is in a position to comment on the standard of your academic work and suitability for postgraduate level study. Where appropriate, a second referee can provide comment on your professional experience.
Curriculum Vitae (CV)/ Resume
Statement of purpose. Your statement of purpose should explain why you want to study your chosen programme and how it will help your life and career. This should typically be one side of A4 paper.