Postgraduate study
Engineering

PgDip/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

  • within 1 year

More full-time details

January 2018 entry

September 2018 entry

Part-time

  • 2 years

More part-time details

January 2018 entry

September 2018 entry

  • Enrolment date: September
  • Admission enquiries: 01642 738800
  • Fee for UK/EU applicants: £561 per 20 credits
    More details about our fees

Contact details

Further information

  • Facilities

    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.

For the Postgraduate Diploma (PgDip) award you must successfully complete 120 credits of taught modules. 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

Digital Control 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.

Hydrocarbon Production Engineering

This module provides you with a detailed understanding of hydrocarbon production operations. You study oil and gas production systems including wells, pipelines, separators and chokes. You look at the inflow performance relationships for oil and gas wells, and well performance analysis. You also cover the artificial lift system including electric submersible pumps, hydraulic pumps and gas lift. You learn about surface production facilities and operations used in crude oil treatment and natural gas reconditioning such as sweetening and dehydration. This module is delivered through lectures and tutorial sessions. You are assessed by an in-course assessment (30%) and exam (70%).

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.

Project Management and Enterprise

This module is designed to equip you with the necessary skills to successfully project manage new product developments focusing on project management skills and processes, quality assurance issues, new product development processes and statistical analysis techniques. It provides you with an opportunity to develop a project plan for a programme of research based on scientific literature, with particular reference to key concepts such as innovation, enterprise and originality.

This fundamental project management basis is interlinked with developing an understanding of entrepreneurial best practices to enable you to transfer your ideas into the commercial arena. This element of the module focuses on intellectual property rights, legal, regulatory and ethical issues, business start-up processes and includes an element of foresight thinking.

Research and Study Skills

This module is designed to introduce you to issues which relate to research and study beyond undergraduate level.

You explore issues such as information skills, qualitative and quantitative research, creating appropriate reference material, referencing and avoiding academic misconduct. In addition, you are introduced to the notion of ethical research and given the opportunity to further your career skills.

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.

Signal Conditioning and Data Processing

You look at the circuit topologies and 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. You learn through a combination of lectures, guided reading, design studies and computer workshops. Where appropriate you carry out practical applications to demonstrate principles.

 

MSc only

Major Project

This is the culmination of the programme of studies. You undertake a challenging problem related substantially to your discipline. The project is linked where possible to an industrial or external partner organisation, which may even host your work and substantially direct the activity. Where this is not possible, a real or simulated real problem may be chosen as the subject for the work. It is, however, expected that even where the problem is simulated or hypothetical, it will be treated as if real. The project outcomes should be at a publishable standard.

 

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

  • within 1 year

More full-time details

January 2018 entry

September 2018 entry

Part-time

  • 2 years

More part-time details

January 2018 entry

September 2018 entry

  • Enrolment date: September
  • Admission enquiries: 01642 738800
  • Fee for UK/EU applicants: £561 per 20 credits
    More details about our fees

Contact details

Further information