Instrumentation and control engineers are highly sought after in a range of industries, including oil and gas, petrochemicals, chemical engineering, manufacturing, research, transport and infrastructure.
This programme will help you develop your knowledge and skills in instrumentation, electronics and control engineering, and it will help you develop the ability to synthesise information from a variety of sources and make effective decisions on complex instrumentation and control engineering problems.
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements
For an MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.
Examples of past MSc research projects:
• effects of particle size on gas-solid flow measurement using dynamic electrostatic meters
• an investigation of self-turning and predictive control with MATLAB
• modelling and control of hot air blow rig PT326
• wireless controlled car with data acquisition
• BCD to 6-3-1-1 code converter design using VHDL
• comparative evaluation of turning techniques for MPC
• digital traffic signal controller design
• proteus control board test site
• design of temperature measurement system
• control system design for stepping motor.
Data Acquisition and Signal Processing
You are introduced to the theorem, principles and techniques of data acquisition and digital processing including sampling, digital signal analysis in time and frequency domains. You also focus on the impact of digital technologies on the design of modern industrial measurement systems. The industrial software for measurement systems will also be introduced with a series of real measurement applications.
Digital Control Design and Implementation
You develop your knowledge of digital circuit analysis and design as well as an understanding of digital control circuits/systems design methodology and implementation technology. You study a range of methods such as top-down design method, design automation framework and tools, VHDL modelling and rapid prototyping. You gain a technical competence and an appreciation of the capabilities and limitations of modern digital control circuits/systems design and implementation. You study through a series of lectures and labs, that are used to explain theory and discuss applications. Practical sessions involve the use of design tools, modelling of digital components and systems, circuit simulation and implementation.
Electronic Signal Conditioning
This module explores the circuit technologies required to make sensitive and precise measurements. Such systems form the signal-conditioning stages of most industrial, commercial and scientific equipment and have to present the raw signal from the sensor in a suitable format for digital signal processing.
On successful completion of the taught modules, you proceed to this 60-credit research project. It allows you to bring together everything you have learnt on the course to address a relevant problem.
Identification and Model Predictive Control
This module develops, from first principles, the methods and techniques associated with system identification. The module shows how these techniques can be used in the formulation of adaptive and model based Control schemes. Finally, the practical implementation of these control schemes is considered.
The module is delivered through a series of weekly lectures. These are used to explain theory and to discuss applications. Practical sessions supported by MatLab and SimuLink are used to reinforce the lecture material and provide an opportunity to develop the required practical skills.
The module is assessed through a combination of in-course assignment and a computer based end examination using MatLab and SimuLink.
This module explores issues such as information skills, qualitative and quantitative research, and ethical research, creating appropriate research material, referencing and avoiding academic misconduct. In addition, you will be given the opportunity to further tour career skills.
You will develop specific skills that can assist in the encouragement of an enterprising, entrepreneurial mind-set that is better equipped to perceive opportunities to develop viable, practical projects from research emanating from conceptual thinking.
In this module the robust control problem is discussed. The module describes the QFT approach to robust control and how to apply this to typical engineering problems. You then discuss the use of expert systems/fuzzy logic solutions as an alternative. The module is delivered through a series of weekly lectures. These are used to explain theory and to discuss applications. Practical sessions supported by MatLab and SimuLink are used to reinforce the lecture material and provide an opportunity to develop the required practical skills. The module is assessed through a combination of in-course assignment and a computer based end examination using MatLab and SimuLink.
Modules offered may vary.
You learn through lectures, tutorials and practical sessions. Lectures provide the theoretical underpinning while practical sessions give you the opportunity to put theory into practice, applying your knowledge to specific problems.
Tutorials and seminars provide a context for interactive learning and allow you to explore relevant topics in depth. In addition to the taught sessions, you undertake a substantive MSc research project.
Assessment varies from module to module. The assessment methodology could include in-course assignments, design exercises, technical reports, presentations or formal examinations. For your MSc project you prepare a dissertation.
You must have a second class (2.2) honours degree (or higher). We consider a wide range of first degree subjects including automation and control engineering, electrical and electronic engineering, electrical engineering, electrical systems, electronic engineering, electronic systems, instrumentation/control engineering, mechatronics, and robotics.
Students with a degree awarded outside the UK must also meet the University's minimum English language requirements.
Non-EU international students who need a student visa to study in the UK should check our web pages on UKVI-compliant English language requirements. The University also provides pre-sessional English language courses if you do not meet the minimum English language requirement.
For additional information please see our entry requirements
International applicants can find out what qualifications they need by visiting Your Country
An instrumentation and control engineer may be involved in designing, developing, installing, managing and maintaining equipment which is used to monitor and control engineering systems, machinery and processes. Graduates can expect to be employed in a wide range of sectors, including industries involved with oil and gas, petrochemicals, chemical engineering, manufacturing, research, transport and infrastructure.
International applicants - find out what qualifications you need by selecting your country below.
Select your country:
Visit our international pages for useful information for non-UK students and applicants.
Fee for UK applicants
£6,695 a year
Fee for international applicants
£13,000 a year
More details about our fees for international applicants
Fee for UK applicants
£745 for each 20 credits
Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.
Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.
The median salary for working-age (16-64) postgraduates in 2018 was £6,000 more than graduates
(DoE Graduate Labour Market Statistics 2018,
tees.ac.uk/source)
Study in our friendly town-centre campus with over £270m recently invested and another £300m over the next 10 years.
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