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MScControl, Automation and Artificial Intelligence

Coventry University
United Kingdom, Coventry
More information

Expenses, accommodation, working etc.

coventry.ac.uk/..tificial-intelligence-msc 

Overview

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

Programme structure

The three pathways within this MSc Control, Automation and Intelligent Systems Course are:

Pathway 1: Control Engineering
This pathway focuses on analytical aspects of control engineering. It is designed for students interested in developing their careers or upgrading their knowledge in areas that require accurate and robust control design for possibly unstable systems, with emphasis on implementation. This course provides excellent preparation for those wishing to pursue their careers as a control engineer or technical specialist in industrial fields such as automotive, aerospace, energy, and other electrical and mechanical engineering based industries, as well as those who are interested in pursuing postgraduate research.

Pathway 2: Automation
This pathway focuses on automation technology and practice in industry. It is designed for students interested in developing their careers or upgrading their knowledge in areas including control in manufacturing process, systems design, systems integration, system operation, with emphasis on implementation. This course provides excellent preparation for those wishing to pursue their careers as a control engineer in industrial automation fields such as in oil and gas, power distribution, chemical and food industry and other process control based industries, as well as those who are interested in pursuing postgraduate research.

Pathway 3: Intelligent Systems
This pathway focusses on decision making based control approaches. It is designed for students interested in developing their careers or upgrading their knowledge in areas such as system designer or system developer with emphasise on implementation of control algorithms that involves optimisation and learning. This course provides excellent preparation for those wishing to pursue their careers as a control engineer in various autonomous systems applications, such as autonomous vehicle or driverless cars, intelligent robotics, as well as those who are interested in pursuing postgraduate research. This pathway is suitable for students with software engineering or computing background, or other engineering background with particular interest in coding or programming.

Career opportunities

Successful completion of our Master’s degree in Control, Automation and Artificial Intelligence could provide you with skills applicable for industries including automotive, aerospace, process/chemical industries, manufacturing, robotics and automation, finance and banking.

Apply now! Fall semester 2022/23
Application period has ended
Notes
Please see the university profile or contact us for the deadlines that apply to you

Application deadlines apply to citizens of: United States

Apply now! Fall semester 2022/23
Application period has ended
Notes
Please see the university profile or contact us for the deadlines that apply to you

Application deadlines apply to citizens of: United States