Program Overview

Overview

The Embedded Systems and Internet of Things (ES-IoT) MSc course is designed to deliver an understanding of ES-IoT and their enabling technologies. This industry-focused course is tailored to meet the demands of companies that create mobile electronic equipment, which interfaces with wireless networks and applications.

What You'll Learn

You will learn core skills in:

• Design and analysis of a real-time application
• Skills in implementation of M2M networks
• Analyze and plan telecommunications systems
• Networking for computers, embedded devices or sensors
• Low-power embedded computers, programming, interfaces and reconfigurable hardware platform
• Machine learning model training and applications
• Problem solving, project planning, critical analysis and progress assessment
• Teamwork

The course covers a range of topics, including:

• Real Time Embedded Systems
• Reconfigurable Hardware Design
• M2M Technology Internet of Things
• Individual Project
• Communication Networks and Security
• Machine Learning for Engineering Applications
• Research Skills and Development for Engineers

How You'll Learn

The course is taught by world-leading academics and researchers, and you will engage with students across all key electrical and electronic engineering disciplines. The teaching consists of:

• Lectures
• Tutorials
• Seminars
• Practical lab sessions
• Research-led projects
• Group work
• Laboratory work
• Computing workshops
• Personal supervision

Your Development

You will:

• Understand concepts and theory of embedded design, real-time scheduling, concurrent models, interfaces and real-time interfaces (ACM)
• Gain knowledge in IoT M2M network technology including networking, system frameworks and comparative study and skills in implementation of M2M networks
• Understand advanced topics in wired and wireless communications networks and security, their evolution and impacts on modern society
• Gain skills and practical experience of wireless networking for computers, embedded devices or sensors
• Acquire the knowledge and the ability to apply the hardware and software knowledge for the design of general and application-specific embedded systems
• Gain knowledge, skills and design experience on reconfigurable hardware platforms (FPGA chips)
• Analyze the underlying mathematics of imaging algorithms, their implementation and performance. Also understand the global standards of multimedia – eg JPEG, MPEG and H26 series

Your Future

The course has close industry links, and you will engage and network with key engineering companies as part of an enhanced learning journey. You will be taught directly by industry, learning the key technical skills required in the sector.

Quality and Ranking

• 42% of the research is classified as 4* world-leading research – Research Excellence Framework 2021
• 65% increase in research power since 2014 – Research Excellence Framework 2021
• Global Top 140 University – QS World University Rankings 2026
• Global Top 160 University - Times Higher Education World University Rankings 2025
• Top 170 for Computing Science and Information Systems - QS World University Rankings by Subject 2025
• Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024

Facilities

The School of Engineering has large, modern teaching laboratories providing superb learning opportunities for you, the next generation of technology and computing specialists. You will have access to a range of specialist facilities, including:

• Power Electronics, Drives and Machines Lab
• Computer Aided Design (CAD) Lab
• Electronics Teaching Lab

Fees and Funding

• Tuition fees for 2026 entry (per year):
  • Home students: £13,900
  • International students: £30,050
• Scholarships: The University supports EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships.

Entry Requirements

• Academic entry requirements: A 2:2 BEng honours degree, or international equivalent, in electrical and electronic engineering, computer engineering, mechanical engineering, physics, communications, information and control engineering, or a related subject.
• English Language requirements: IELTS, Pearson, Duolingo English Test, TOEFL, or other qualifications.
• Admissions policy: The University's admissions policy applies to all undergraduate and postgraduate admissions.

How to Apply

• Start Dates: The course starts in September.
• Closing Dates: There is no application closing date for this course.
• Deposit: If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you must pay a deposit of £1,500 or submit an official letter of sponsorship.