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.
Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies.
It is designed to build your competence and confidence in the R&D and engineering tasks that are demanded of scientific engineers in the renewable and sustainable-development sector.
This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.
As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.
Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.
The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.
Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.
Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.
This programme investigates both renewable energy and systems technologies in order to produce scientific researchers and engineers who are competent in the R&D and engineering tasks applicable to the renewable energy and sustainable development sectors.
Its primary aims lie in developing a global understanding of the major types of renewable energy technologies, in-depth knowledge of the technology for biomass-based renewable energy, and knowledge and skills in systems modelling and optimisation.
A balanced curriculum will be provided with a core of renewable energy and systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.
An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.
Knowledge and understanding
The programme aims to develop the knowledge and understanding in both renewable energy and systems engineering. The key learning outcomes include:
Intellectual / cognitive skills
The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation. The key learning outcomes include the abilities to:
Professional practical skills
The programme primarily aims to develop skills for applying appropriate methods to analyze, develop, and assess renewable technologies and systems. The key learning outcomes include the abilities to:
Key / transferable skills
The programme aims to strengthen a range of transferable skills which are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation. The key learning outcomes include the further development of the skills in the following areas:
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.