The overall objective of this course is to add value to your first degree and previous relevant experience by developing a focused, integrated and critically aware understanding of underlying theory and current policy and practice in the field of control systems engineering.
The course is control systems focused, with the emphasis on control systems theory together with a range of control applications including industrial control (SCADA), intelligent control, flight control and robotic control. The control systems approach provides continuity in learning throughout the one year of study.
This course has been awarded accredited status by both the Royal Aeronautical Society (RAeS) and the Institution of Mechanical Engineers (IMechE) for 2010 to 2014 intake cohorts as meeting the exemplifying academic benchmark for registration as a Chartered Engineer (CEng) for students who also hold an accredited BEng Honours degree. Candidates who do not hold an appropriately accredited BEng Honours degree will gain partial exemption for CEng status; these candidates will need to have their first qualification individually assessed if they wish to progress onto CEng registration.
Professional registration and Institution membership will enhance your career in the following ways:
On completion of the course you should have a critical awareness and understanding of current problems in control engineering, techniques applicable to research in the field of control systems and how established techniques of research and enquiry are used to create and interpret knowledge in the field of control systems. You should also be able to deal with complex issues both systematically and creatively, make sound judgments in the absence of complete data, and communicate your conclusions clearly to specialist and non-specialists.
Teaching will be delivered through a combination of lectures, tutorials, computer workshops and laboratory activities.
Mechanical Lab – This lab is used to understand material behaviour under different loading conditions and contains a tensile test machine and static loading experiments – typical laboratory sessions would include tensile testing of materials and investigation into the bending and buckling behaviour of beams.
Aerodynamics Lab – Contains low speed and supersonic wind tunnels – typical laboratory experiments would include determining the aerodynamic properties of an aerofoil section and influence of wing sweep on the lift and drag characteristics of a tapered wing section.
Composite Material Lab – This lab contains wet lay-up and pre-preg facilities for fabrication of composite material test sections. The facility is particularly utilised for final year project work.
Control & Dynamics Lab – Contains flight simulators (see details below) and programmable control experiments – typical laboratory sessions would include studying the effects of damping and short period oscillation analysis, forced vibration due to rotating imbalance, and understanding the design and performance of proportional and integral controllers.
Merlin MP520-T Engineering Simulator
Elite Flight Training System
A wide range of control and automation opportunities in manufacturing and engineering companies, opportunities in the aerospace sector.
There are opportunities to go on to further research study within our CASE control and Intelligent Systems Research Centre.
Research themes in the Centre include:
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.
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.
Choose two from
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.
This programme is structured around topics in systems and signal processing, with specialisms in control and systems theory, image processing and machine learning. Skills developed are sought after by industry (biotech, financial services, systems engineering, medical imaging, etc) and the academic research community. The modules have a high mathematical content and much of the material is computationally based, developing strong transferable skills in algorithmic development and programming.
Semester one: Signal Processing; Control System Design; Machine Learning; Computer Vision.
Semester two: Advanced Systems and Signal Processing; Digital Control System Design; Applied Control Systems; Biological Inspired Robotics; Advanced Computer Vision; Image Processing; Advanced Machine Learning; Computational Finance; Computational Biology; Biometrics.
Plus three-month independent research project culminating in a dissertation.
We worked with industry professionals to develop an MSc Applied Instrument and Control programme that is accredited by the Institute of Measurement and Control (InstMC). It covers both the latest developments in the field and the industry knowledge we've gained through years of experience.
You'll acquire a specialised skillset and expertise that's highly desirable to employers, making you a competitive candidate for rewarding careers in many industries, with oil and gas pathways available. The programme draws on relevant case studies with real-world implications, so you'll gain practical knowledge that you can apply on the job from day one.
The programme also fulfils the Engineering Council's further learning requirements for registration as a Chartered Engineer.
At GCU, you'll find a welcoming community of people like yourself - hardworking, career-focused individuals with the vision and discipline to pursue meaningful work. We'll help you develop the tools to be successful, in your career and in your life.
We hope you'll use those tools to make a positive impact on your community and contribute to the common good through everything you do.
The curriculum has been developed in consultation with industry and can be broadly grouped in three areas: the introduction of new facts and concepts in measurement and control; the application of facts and concepts to real measurement problems and systems; and subjects which are of general importance to the professional engineer, for example safety and safety management and management ethics and project planning.
Students complete eight taught modules - four in trimester A and four in trimester B; and a Masters project in trimester C.The MSc project will be carried out at the student's workplace; this can be in an area relevant to the company's production/maintenance function, thus providing maximum benefit to both the company and the individual.
Consolidates advanced classical and modern control design techniques emphasising the practical considerations in applying control design in an industrial environment. The appropriateness and difficulties encountered in applying various design techniques in practice will be explored. In particular system sensitivity, robustness and nonlinearity will be studied.
Data Acquisition and Analysis
Develops the ability to evaluate, in a given situation, the most appropriate strategy for acquiring data and understand the merits of this strategy with respect to other approaches. A range of modern time and frequency domain analysis techniques will also be discussed.
Industrial Case Studies
Following on from the foundation in measurement and instrumentation provided by the Measurement Theory and Devices module, students will now be equipped to study in depth instrumentation in industrial processes. This module will cover aspects of designing sensor systems for industrial measurements, instrument control, system troubleshooting and optimisation in industrial applications.
Develops the ability to evaluate, in a given situation, the most appropriate strategy for acquiring and transmitting data and understand the merits of this strategy with respect to other approaches. A wide range of different instrument communication and networking techniques will be studied. In addition the module provides practical experience of hardware setup and software development, relating to these techniques.
Industrial Process Systems
Identification and system modelling from real data play an important role in this module. This approach thus leads to more complex and realistic models that can be used to design more robust and reliable controllers that take into account problematic physical effects such as time-delays and sensor noise. The module will cover more advanced aspects of control design such as feed forward and multivariable control.
A range of advanced measurement systems will be studied in depth. Sensors, signal processing, low-level signal measurements, noise-reduction methods and appropriate measurement strategies will be applied to industrial and environmental applications. The influence of environmental factors and operation conditions will be considered in relation to the optimisation of the measurement system.
Measurement Theory and Devices
Adopts a generalised approach to measurement theory and devices, allowing students to become familiar with the characteristics of measurement systems in terms of the underlying principles. In this way, the students will be able to develop a systems approach to problem solving. They should find this methodology to be a considerable benefit to them when they have to apply their expertise to solving more complex industrial measurement problems.
Develops the students' ability to select, develop and plan an MSc research project, to research and critically analyse the literature associated with the project and to present research findings effectively, it will also provide students with the ability to apply a competent process of thinking to project planning and give them a critical understanding of safe and ethical working.
The programme is accredited by the Institute of Measurement and Control (InstMC) as meeting the Engineering Council’s further learning requirements for registration as a Chartered Engineer.
The MSc Applied Instrumentation and Control offers graduates a highly focused skillset that's valuable to an extremely wide range of industries - any business that benefits from the measurement of process variables and environmental factors. For instance, chemicals, pharmaceuticals, optics and optoelectronics, medical instrumentation and more.
Across these industries, you might focus on computer-controlled instrumentation systems, process instrumentation, technical management and sales, process control and automation, sensor development and manufacturing, instrument networking, industrial development or test and measurement systems.
You might also pursue a career with a company that designs and manufactures measurement systems.