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Course content

Automation, control and robotics are pervasive enabling technologies found in almost every modern technical system, particularly in manufacturing and production. They combine the diverse and rapidly expanding disciplines of automation, control, mechanics, software and signal processing.

This course is ideal if you wish to develop comprehensive knowledge and understanding of • classical and modern control theory • industrial automation • systems analysis • design and simulation • robotics.

You gain the ability to apply principles of modelling, classical and modern control concepts and controller design packages in various areas of industry. You also learn how to design and exploit automation and robotic systems in a range of manufacturing and industrial applications.

The course has six core modules which cover the major aspects of industrial automation and control systems engineering and robotics, ranging from classical linear control system design to non-linear, optimal and intelligent control systems, including distributed control systems, robotics, computer networks and artificial intelligence.

You also choose two optional modules relevant to automation and control to suit your interests. For example, if you wish to work in the manufacturing industry you can choose manufacturing systems or machine vision. There is the opportunity to study one or two management modules if you wish to apply yourself to a more managerial role.

To gain the masters you complete a major research-based project, which can be focused on an area of your particular interest or career need.

You work alongside staff from the Electrical, Electronic and Control Engineering Group and the Centre for Automation and Robotics Research (CARR) at Sheffield Hallam. This provides the opportunity to work with active researchers.

Professional recognition

This course is seeking accreditation by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirements for registration as a Chartered Engineer. The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer; graduates who have a BEng (Hons) accredited for CEng will be able to show that they have satisfied the further learning requirement for CEng accreditation.

Course structure

Core modules

  • industrial automation
  • control of linear systems
  • advanced control methods
  • robotics
  • applicable artificial intelligence


Choose two from

  • software engineering
  • computer networks
  • project and quality management
  • sustainability, energy and environmental management
  • machine vision
  • digital signals processing
  • manufacturing systems
  • mixed signal design
  • electrical energy systems
  • efficient machines and electromagnetic applications.


  • project and dissertation


  • coursework
  • examination
  • presentation
  • MSc project report


This course provides you with the knowledge and skills for further advanced study in this area.

You can also apply your skills in an industrial setting for automated manufacturing, control system design, or in the wide range of industries that exploit intelligent robotics. Graduates from this course find career opportunities in areas including • automation and control • process and petrochemical • biomedical • manufacturing • energy • automotive • aerospace.

You can also pursue careers in engineering design and development, engineering research, engineering consultancy and engineering management.

Completing this course combined with further work-based experience enables you to gain Chartered Engineer status.

Visit the Automation, Control and Robotics MSc page on the Sheffield Hallam University website for more details!




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