Coventry University

Degree level: Postgraduate

Embedded Systems Engineering (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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Course summary

The course is designed for graduates with an electronics and computing background. It provides a leading edge MSc degree education in embedded systems engineering. The technical focus of the course concentrates on a combination of advanced electronics including Field Programmable Gate Arrays (FPGA) based digital system design, image and signal processing, digital communications, wireless intelligent systems, and robotics as well as the subject specific knowledge in embedded systems including embedded systems programming, embedded operating systems, and embedded hardware engineering. An emphasis on applied technical work will strengthen the engineering development skills of students from an academic background. Such work will provide the demonstrable expertise necessary to help secure professional level employment in related industries. This course includes the Consulting Global Professional Development module developed in partnership with the Chartered Management Institute.

Course details


Your main study themes are

  • Digital System Design with VHDL
Aims to provide capability to apply the VHDL hardware description language for the simulation and synthesis of digital systems. We cover the essential syntax of VHDL and its coding styles for different digital functions. You will apply VHDL to configure a digital system using integrated circuits, also known as Field Programmable Gate Arrays (FPGA).
  • Digital Signal and Image Processing
Computer-based systems are increasingly required to detect, analyse and manipulate signals, or data, from a wide range of sources, such as sound, light, temperature or pressure. You’ll learn to analyse continuous and discrete-time signals and systems, developing higher level signal processing techniques and filters, together with knowledge of digital image processing and pattern recognition. You will apply these to problems to demonstrate their applications, such as feature extraction, object recognition, noise removal etc.
  • Robotics – Kinematics, Dynamics and Applications
Introduces the science and engineering of mechanical manipulation, an introduction to mobile robotics, some common sensors used in the field, drive mechanisms and their differing configurations and some of their applications.
  • Microprocessor Applications
Aims to provide knowledge and experience of the engineering techniques required to build the technical applications of microprocessors, involving the detailed study of advanced contemporary devices and applications, such as sensor interfaces, USB (Universal Serial Bus) and CAN (Controlled Area Network).
  • Embedded Systems Programming
Practical experience using real-time embedded systems including analysis, design and implementation of appropriate computer programs. This will be done with object-oriented (OO) concepts and use of the Unified Modelling Language (UML).
  • Digital Communications
Aims to provide the principles of digital communications system applicable to both fixed and mobile data networks to include data transmission, error control, flow control, congestion control and routing strategies.
  • Embedded Operating Systems
Introduces embedded operating systems which include basic embedded OS concepts such as processes, memory management, drivers and file systems. Embedded storage and an actual embedded OS will be studied.
  • Wireless Intelligent Systems
Focuses on the nature of computation, communications and hardware/software support needed to design large scale distributed and wirelessly connected embedded systems. You have the option of taking the following
  • Digital Communications Provides the principles of digital communications system applicable to both fixed and mobile data networks to include data transmission, error control, flow control, congestion control and routing strategies.
  • Measurement and Sensor Technology
Provides a focused interdisciplinary knowledge that encompasses important elements including sensors, signal conditioning, sensor sensor interfacing, Electromagnetic compatibility (EMC), noise analysis, measurement uncertainty and system reliability.

Assessment method

This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include individual and group work, presentations, laboratory work, formal examinations, technical reports, in-class test, online quizzes, posters and computer simulation employing Simulink, Matlab, Multisim and PSCAD. The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes. Assessments may include exams, individual assignments or group work elements.

Entry requirements

Applicants should hold a good honours degree 2:2 or above in a relevant academic discipline, such as a Science pr Technological subject. Applicants with a degree in another discipline or with relevant experience will be considered on an individual basis

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

2022/23 fees TBC. Please see our website for latest information.

Provider information

Visit our website

Coventry University
Priory Street

Clearing contact details

Recruitment and Admissions Office

02476 888888

Course Clearing information

Additional information

Thursday 18 August 08:00-20:00, Friday 19 August 08:00-18:00, Saturday 20 August 10:00-16:00, Sunday 21 August 10:00-16:00, Monday 22 August onwards (weekdays only) 08:00-18:30

Course contact details

Visit our course page
European and International Admissions Office

+44 024 7765 2152

UK Postgraduate Admissions Office

024 7765 4321

Embedded Systems Engineering at Coventry University - UCAS