Taught course

Internet of Things (Data)

Institution
Queen Mary, University of London · Computer Science
Qualifications
MSc

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Entry requirements

A 2:1 or above at undergraduate level in Computer Science, Electronic Engineering, Mathematics or a related discipline.

Good knowledge of computer programming is highly recommended.

Months of entry

September

Course content

This innovative MSc equips students with the key skills to design and engineer the next generation of connected devices and systems. You will also gain a solid understanding of AI-driven data analysis and learn how human interaction with IoT goes far beyond the internet. This programme has been specifically designed to meet the industry need for a new kind of IT specialist.

The course will enable you to:

    • Engineer new interactive smart devices (things) including hardware, software, physical object, and human interaction co-design.
    • Acquire, fuse and analyse data collected from multi-sensors embedded in smart objects using AI and data science driven approaches.
    • Interconnect new and existing devices as part of larger and more diverse systems.
    • Learn and apply new paradigms such as edge computing, 5G cellular networks and many-to-many protocols such as MQTT.
    • Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
    • Fulfil the educational requirements for registration as a Chartered Engineer, accredited by The Institution of Engineering and Technology (IET)

You will gain a strong foundational understanding of the internet of things, as well as enabling communication technologies. You will learn skills in statistics, data mining and analytics, mobile services, and security and authentication.

You will gain from interaction with our research centres, specifically Networks, Cognitive Science and Antennas, as well as interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).

We also have connections with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
School of Electronic Engineering and Computer Science
Email
pgtadmissions@qmul.ac.uk
Phone
+44 (0)20 7882 7333