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As the backbone of the IoT, embedded systems are intelligent electronic devices, often internet connected systems on a chip, that may feature a variety of sensors. The data collected by embedded systems may be analyzed in a variety of ways to improve existing processes or tackle new problems.

Applications of this rapidly expanding technological field may include personal use in health management systems, use in manufacturing processes such as robotics, contributing to the management of urban infrastructure in smart cities, and collection and processing of data used by self-driving cars.

As a highly engineering based field, students with an interest in mathematics, electronic engineering and computer science may find it a compelling subject to study.

By studying in this field, your modules are likely to cover topics such as:

• Artificial intelligence
• Robotics
• Electronic Engineering
• The Internet of Things (IoT)
• Digital signal processing
• Wearable electronics
• Smart cities

As a university graduate of studies in Intelligent embedded systems, you may work in a variety of technological sectors such as the automotive industry, healthcare and defense with careers such as:

• Programmer
• System architect
• Robotics engineer
• Mobile communication engineer

Postgraduate programmes in Intelligent Embedded Systems are most commonly offered at universities around the world as a Master of Science (MSc. degree/MS degree), which can typically take between 1-2 years to complete when studied Full-time, and may include an industrial placement year.

Entry requirements for postgraduate programmes in Intelligent Embedded Systems will usually include a bachelor/undergraduate degree in a related topic such as electronic engineering or computer programming.