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Embedded Systems and Internet of Things (ES-IoT) MSc

This advanced course delivers an understanding of Embedded Systems and Internet of Things (ES-IoT) and their enabling technologies.

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Start date(s):

  • September 2025
Virtual Open Day. Wednesday 27 November, 10.30 to 13.00 and 16.00 to 18.30 GMT

Overview

Our Embedded Systems and the Internet of Things (IoT) course is industry-focused. It is tailored to meet the demands of companies that create mobile electronic equipment, which interfaces with wireless networks and applications.

Taught by world-leading academics and researchers, you'll develop your knowledge of electrical and electronic engineering. You'll focus on the fast-changing area of embedded digital systems for communication and control.

Our MSc programme is ideal for graduates in :

  • electrical and electronic engineering
  • computer engineering
  • related disciplines

You'll develop your knowledge and practical skills through a unique blend of modules which complement each other:

  • tools, techniques and design of Embedded Systems and Internet of Things (ES-IoT) and subsystems
  • scientific and engineering principles and practices of Computing Science and Electronic Engineering
  • networking and communication systems
  • sensors and security
  • computer programming

 

Important information

We've highlighted important information about your course. Please take note of any deadlines.

What you'll learn

You'll learn core skills in:

  • design and analysis of a real-time application
  • skills in implementation of M2M networks
  • analyse and plan telecommunications systems
  • networking for computers, embedded devices or sensors
  • low-power embedded computers, programming, interfaces and reconfigurable hardware platform
  • image processing and machine vision
  • problem solving, project planning, critical analysis and progress assessment
  • teamwork

Our modules have been designed alongside industry experts, meaning you'll gain the technical knowledge and skills needed for this dynamic industry.

Core modules typically include:

  • Real Time Embedded Systems and Programming
  • M2M Technology Internet of Things
  • Wired and Wireless Communication Networks and Security
  • Internet of Things and Wireless Sensor Networks
  • Reconfigurable Hardware Design
  • Image Processing and Computer Vision
  • Individual Project

You’ll also develop skills in research and knowledge acquisition to provide the foundation for further study.

Modules

You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.

How you'll learn

Your development

You'll

  • 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)*
  • analyse the underlying mathematics of imaging algorithms, their implementation and performance. Also understand the global standards of multimedia – eg JPEG, MPEG and H26 series

In addition, you apply your engineering and computing expertise to investigate a complex problem as part of the Individual Project module during semester 2 and 3.

Your future

Industry links

Due to our close industry links, you'll engage and network with key engineering companies as part of an enhanced learning journey. You'll be taught directly by industry, the key technical skills required in the sector.

You'll benefit from:

  • guest lectures, allowing you to put theory into practice
  • study tours
  • site visits
  • projects
  • placements
  • employment opportunities with added support from our Careers Service

Our Careers Service

Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

Visit our Careers Service website

Quality and ranking

All professional accreditations are reviewed regularly by their professional body

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'll have access to a range of specialist facilities. Each research group in the school has dedicated equipment and laboratories, including:

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

Stephenson Building

The Stephenson Building is a £110 million investment in world-class education, research and collaboration across Engineering. It’s a place for future engineers, researchers and designers to collaborate and tackle global challenges, together.

Fees and funding

Tuition fees for 2025 entry (per year)

What you're paying for

Tuition fees include the costs of:

  • matriculation
  • registration
  • tuition (or supervision)
  • library access
  • examination
  • re-examination
  • graduation

Find out more about:

Search for funding

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Entry requirements

The entrance requirements below apply to 2025 entry.

Qualifications from outside the UK

English Language requirements

Admissions policy

This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.

University Admissions Policy and related policies and procedures

Credit transfer and Recognition of Prior Learning

Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course

How to apply


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If you have specific questions about this course you can contact:

School of Engineering
School Admissions Team
Email: soe.admissions@ncl.ac.uk

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