Postgraduate study
Engineering

MSc Instrumentation and Control Engineering

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.

Course information

Full-time

  • September enrolment: 1 year, January enrolment: 16 months, including a summer break

More full-time details

2019 entry

Part-time

  • September enrolment: 2 years, including a summer break, January enrolment: 28 months, including two summer breaks

More part-time details

2019 entry

Contact details

Further information

  • On video

    Reporting on engineering at Teesside University

    A tour of Teesside University engineering facilities and employer partnerships, enabling us to produce graduates ready for the world of work.

 

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.

Professional accreditation

This course is accredited by the Institution of Engineering and Technology (IET) under licence from the UK regulator, the Engineering Council. This means that it meets the requirements for further learning for Chartered Engineer (CEng) under the provisions of UK-SPEC. By completing this professionally accredited MSc you could benefit from an easier route to professional membership or chartered status, and it can help improve your job prospects and enhance your career. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

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.

Course structure

Core modules

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.

Engineering Research Project

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.

Practical Health and Safety Skills

This module ensures you are able to work in a safe manner during practical sessions. You learn about the need to adhere to health and safety regulations. You are also taught good practice and learn how to maximise your safety and the safety of others.

Research and Enterprise

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.


Robust Control Systems

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.

How you learn

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.

How you are assessed

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.

Career opportunities

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.

Entry requirements

Applicants are normally expected to have at least a lower second class (2.2) UK honours degree, or equivalent qualification. A wide range of degree subjects are acceptable, including electrical engineering, electronic engineering, power systems engineering, energy engineering and instrumentation and control engineering.

Non-UK students must also meet the University's minimum English language requirements.

For additional information please see the entry requirements in our admissions section

International applicants can find out what qualifications they need by visiting Your Country

Course information

Full-time

  • September enrolment: 1 year, January enrolment: 16 months, including a summer break

More full-time details

2019 entry

Part-time

  • September enrolment: 2 years, including a summer break, January enrolment: 28 months, including two summer breaks

More part-time details

2019 entry

Contact details

Further information