M.Sc. On Campus Online

Internet of Things (Data)

Queen Mary University of London

12 months
25150 GBP/year
11850 GBP/year
Tuition fee
Apply date
Start date


This innovative Internet of Things (Data) MSc at Queen Mary University of London quips 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  Internet of Things (Data) MSc programme at Queen Mary University of London has been specifically designed to meet the industry need for a new kind of IT specialist.

  • 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)

What you'll study

This programme teaches you practical skills, underpinned by core theories so that you are able to gain expertise in the key skill areas of the internet of things.

Through a combination of compulsory and elective models, you will explore a range of industry-relevant data analysis skills.  These include Applied Statistics, where you will use the R-Language to find patterns in data; Big Data Processing using Google’s MapReduce & Apache Hadoop; Machine Learning using Keras and Data Analytics using Python.

During the programme, you will also gain fundamental practical skills and learn how to engineer new smart devices. We teach you how to prototype innovative smart objects for IoT. You will focus on using a range of sensors, actuators and microcontroller and microcomputer boards, especially for location determination such as: air quality sensing, human activity recognition and robotics.

We also teach you how to interconnect new and existing things to each other. We cover a range of networks including short-range, such as Near Field Communication and wireless personal area networks like Bluetooth and ZigBee. We also explore local area networks like Wi-Fi and cellular networks such as 5G and 6G, as well as cloud computing and edge computing.

Programme Structure

Modules include:
  • Mobile Services
  • Security and Autentication
  • Enabling Communication Technologies for IoT
  • Machine Learning
  • Electronic Sensing
  • Mobile and WLAN Technologies
  • Big Data Processing
  • Cloud Computing
  • The Semantic Web
  • Digital Media and Social Networks
  • Applied Statistics
  • Data Analytics
  • Project

Key information


  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines


180 alternative credits


On Campus, Online

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

Degree 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.

Tuition Fee

To alway see correct tuition fees
  • International

    25150 GBP/year
    Tuition Fee
    Based on the tuition of 25150 GBP per year during 12 months.
  • National

    11850 GBP/year
    Tuition Fee
    Based on the tuition of 11850 GBP per year during 12 months.

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Internet of Things (Data)
Queen Mary University of London


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