MSc Control, Automation and Artificial Intelligence
Overview
Control engineering is a means of managing and measuring performance of process systems in areas from power plants and nuclear reactors to construction companies and manufacturing. The principles of control also extend in activities as diverse as managing risk in the financial sector to studying climate change within science.
Is your undergraduate degree in engineering, mathematics or science? An accredited MSc in Control, Automation and Artificial Intelligence will help you to develop skills that would be beneficial in almost every engineering field from automotive, aircraft industry, power and energy, automation, process industry including oil and gas, food and drink, pharmaceutical industry and many others.
The course covers three specialist pathways within the field of control systems engineering, which feature a balance between theoretical and practical content and is therefore designed for graduates in engineering or science. If you wish to embark on a career as a technical specialist in analytical aspects of control engineering or if you are a practising engineer looking to stay abreast of important advances and developments, you may want to consider this course.
This course is accredited and recognised by the Institute of Measurement and Control (InstMC) and Institution of Engineering and Technology (IET).
Work placement option
This master's programme provides you with the additional option to apply for a 'work placement' opportunity during your first semester with us.
Course information
This MSc Control, Automation and Artificial Intelligence Course is designed to provide a unique route for postgraduates to top up their background with more specialised knowledge and skills in the rich field of control systems and engineering relevant to various practical industries as well as research in academia.
The course covers the three closely relevant fields as pathways within one umbrella. Those pathways are Control Engineering Pathway, Automation Pathway and Intelligent Systems Pathway. All pathways will start with common modules in Semester 1, to offer a greater degree of flexibility for students to explore their main interest as they enrol into the course. Then each pathway will deliver specialised modules in Semester 2, allowing students to focus on specialised subjects based on their interest. This specialisation then continues being reflected in the students’ dissertation project, which is carried out in Semester 3.
This course aims to provide a combination of theoretical and practical modules with sufficient depth, giving graduates sufficiently strong skills and background to take up professional posts in control engineering and automation industry and/or research, and to develop themselves further depending on the requirement of the profession.
Career prospects
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.
Overview
Control engineering is a means of managing and measuring performance of process systems in areas from power plants and nuclear reactors to construction companies and manufacturing. The principles of control also extend in activities as diverse as managing risk in the financial sector to studying climate change within science.
Is your undergraduate degree in engineering, mathematics or science? An accredited MSc in Control, Automation and Artificial Intelligence will help you to develop skills that would be beneficial in almost every engineering field from automotive, aircraft industry, power and energy, automation, process industry including oil and gas, food and drink, pharmaceutical industry and many others.
The course covers three specialist pathways within the field of control systems engineering, which feature a balance between theoretical and practical content and is therefore designed for graduates in engineering or science. If you wish to embark on a career as a technical specialist in analytical aspects of control engineering or if you are a practising engineer looking to stay abreast of important advances and developments, you may want to consider this course.
This course is accredited and recognised by the Institute of Measurement and Control (InstMC) and Institution of Engineering and Technology (IET).
Work placement option
This master's programme provides you with the additional option to apply for a 'work placement' opportunity during your first semester with us.
Course information
This MSc Control, Automation and Artificial Intelligence Course is designed to provide a unique route for postgraduates to top up their background with more specialised knowledge and skills in the rich field of control systems and engineering relevant to various practical industries as well as research in academia.
The course covers the three closely relevant fields as pathways within one umbrella. Those pathways are Control Engineering Pathway, Automation Pathway and Intelligent Systems Pathway. All pathways will start with common modules in Semester 1, to offer a greater degree of flexibility for students to explore their main interest as they enrol into the course. Then each pathway will deliver specialised modules in Semester 2, allowing students to focus on specialised subjects based on their interest. This specialisation then continues being reflected in the students’ dissertation project, which is carried out in Semester 3.
This course aims to provide a combination of theoretical and practical modules with sufficient depth, giving graduates sufficiently strong skills and background to take up professional posts in control engineering and automation industry and/or research, and to develop themselves further depending on the requirement of the profession.
Career prospects
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.
