Internet of Things

The MSc in Internet of Things at Queen Mary University of London offers students a comprehensive understanding of the fundamental principles, technologies, and applications of the rapidly evolving Internet of Things (IoT) domain. This programme is designed to equip graduates with the technical skills and theoretical knowledge necessary to develop, implement, and manage IoT systems across various industries, including healthcare, manufacturing, smart cities, and home automation. Throughout the course, students explore core topics such as embedded systems, sensor networks, data analytics, cybersecurity, and cloud computing, gaining hands-on experience through practical projects and laboratory work. The curriculum emphasizes the integration of hardware and software components, enabling students to design scalable and secure IoT solutions tailored to solve real-world problems. Additionally, the programme fosters critical thinking around the ethical and legal implications of IoT deployment, preparing students to address privacy concerns and data protection challenges. Through collaborations with industry partners and opportunities for internships, students can develop professional skills and establish valuable networks within the technology sector. The MSc in Internet of Things at Queen Mary University of London is suitable for graduates with backgrounds in computer science, electronic engineering, or related disciplines who aspire to become innovative IoT practitioners and leaders. Upon completion, graduates will be well-positioned to pursue careers in IoT development, research, consultancy, or entrepreneurship, contributing to technological advancements and sustainable solutions in a connected world.

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.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The Queen Mary University of London offers various financing options for students enrolled in the Internet of Things (IoT) program. prospective students are encouraged to explore multiple funding sources to support their studies. Scholarships and bursaries are available based on academic achievement, financial need, and other criteria. The university provides specific scholarships dedicated to engineering and technology students, which can significantly offset tuition fees. Additionally, students may consider applying for government-funded loans or grants, such as the Student Loans Company funding available to UK residents. International students are advised to investigate external funding opportunities, including scholarships offered by their home governments or international organizations. The university's financial aid office provides detailed guidance on the application processes, deadlines, and eligibility requirements for various funding options. Part-time work opportunities on campus or nearby can also help students finance their studies, with the university offering job placements and internships related to their field of study. It is recommended that students plan their finances ahead of time, including budgeting for tuition, accommodation, textbooks, and living expenses. The university's dedicated financial support team is available to assist with questions regarding fee payment plans, hardship funds, or alternative financing solutions. Furthermore, some students may explore private loans or sponsorships, depending on their circumstances. Learning about all available options and starting the application process early can increase the likelihood of securing adequate funding. Queen Mary University of London also provides workshops and resources to help students manage their finances effectively throughout their studies. Overall, financing an IoT program at Queen Mary University of London involves a combination of scholarships, government support, personal savings, and external funding sources, aimed at ensuring students can focus on their academic pursuits without undue financial stress.

The Internet of Things (IoT) MSc program at Queen Mary University of London is designed to equip students with a comprehensive understanding of the principles, technologies, and applications of IoT systems. The course covers fundamental topics such as embedded systems, wireless communications, sensor networks, data analytics, and cybersecurity. Students will explore how interconnected devices collect, exchange, and analyze data to facilitate intelligent decision-making in various sectors, including healthcare, logistics, smart cities, and manufacturing. The program emphasizes practical skills through laboratory work, projects, and collaborations with industry partners, enabling students to develop innovative IoT solutions. The curriculum is tailored to address the challenges of designing scalable, secure, and reliable IoT systems, ensuring graduates are prepared for careers in technology development, system integration, and research. Queen Mary University of London also offers opportunities for students to engage with cutting-edge research areas, participate in internships, and access expert faculty in the field. The MSc program typically spans one year full-time or part-time study options are available to accommodate working professionals. Graduates of this program can pursue roles such as IoT developer, systems architect, network engineer, data analyst, or continue with doctoral research. The program aims to provide a multidisciplinary perspective, integrating computer science, engineering, and data science, creating a robust foundation for innovation in the rapidly growing IoT industry.