University of York

University of York

Master of Science in Embedded Wireless Systems

The Master of Science in Embedded Wireless Systems in Engineering and Technology is offered by University of York.

Program Length: 1 YEAR.

Master of Science in Embedded Wireless Systems offered by the University of York

Develop the skills you need to become a leader in engineering research, design and development across a range of industries.


Wireless communication and mobile computing are the largest growth sectors in electronics and with applications ranging from mobile phones to self-driving cars.

It covers theoretical and practical electronic design, sensors, instrumentation systems, communications and embedded computing from core principles to cutting-edge research.

One of the major features of the course is the teaching of industry standard embedded systems using ARM processors, which are currently in over 90% of all mobile phones.

The course is ideal if you are seeking a route into industries which use wireless sensor network applications, ranging from smart buildings, warehouses, traffic monitoring, patient monitoring, industry 4.0 and the internet of things. After graduating, you'll be significantly more attractive to a wider range of employers due to a more comprehensive portfolio of experience.

Course content
You'll study a total of 120 credits spread over 11 modules, as well as undertaking a project worth an additional 60 credits. All the modules are compulsory. 

You'll explore theoretical and practical electronic design, sensors, instrumentation systems, communications and embedded computing from core principles to cutting-edge research.

Modules
Sensors and Instrumentation (10 credits)
Management and Marketing of Technology (10 credits)
C Programming for MSc (10 credits)
Digital Communication Systems for MSc (10 credits)
Introduction to Communications (10 credits)
Enterprise (10 credits)
Personal Effectiveness and Masterclasses (20 credits)
Neural Networks and Neural Computing (10 credits)
Systems Programming for Embedded Devices (10 credits)
Research Methods Theory (10 credits)
Research Methods: Data Analysis (10 credits)



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