Course Duration
Duration
  • Part Time or Full Time
Course Study
Study Mode
  • Online
Course Location
Location
  • Online
Course Code
Course Code
MSc(IA)
Course Intakes
Intakes
  • 28 September 2026
  • 1 February 2027
Course Type
Course Type
  • Master’s Degree
Course Fees
Fees

Industrial Automation Engineering is a rapidly growing field, shaping industries and enterprises worldwide. This UK degree provides expertise in control systems, instrumentation, machine learning, and safety, equipping you with the skills to drive automation advancements.

Designed for professionals in electronics, and in electrical and mechanical engineering, the programme features eight modules and a Project Thesis. Graduates will be prepared to solve complex challenges and innovate in the automation industry.

The key advantages:

  • Flexibility: Study remotely, using a supported online platform that accommodates full-time work.
  • Innovative Learning: Access cutting-edge programmes via innovative online tools, including remote labs and simulation software.
  • Global Expertise: Learn from and interact with engineering subject experts; gain a global industry perspective from both local and international lecturers.
  • Practical Knowledge and Skills: Acquire theoretical knowledge and develop hands-on experience.
  • Career Growth: Unlock new career opportunities and boost your earning potential.
  • International Networking: Connect with a diverse community of students from around the globe.
  • Dedicated Support: Share your study journey with your Learning Support Officers; they will guide and nurture you from induction to graduation.

 

 

Programme Overview

This specialised postgraduate programme is tailored for professionals in electrical, electronics, and mechanical engineering who seek to advance their expertise in industrial automation.

The curriculum covers key areas including Power Engineering, Programmable Logic Controllers, Industrial Process Control Systems, Automation and Control of Manufacturing Systems, Sensors and Actuators for Automatic Systems, System Automation, Mechatronics and Robotics, and Advanced Engineering Mathematics for Control.

A core component of the programme, the Project Thesis, allows students to apply their knowledge to real-world industrial automation challenges, fostering innovation and critical thinking. This programme offers a more in-depth focus on this specialist area.

After completing this programme, you will be able to:

  • Design Automation Systems: Develop and implement advanced industrial automation solutions using sensors, actuators, robotics, and control systems.
  • Optimise Industrial Processes: Improve efficiency, reduce costs, and enhance productivity using control and instrumentation techniques.
  • Integrate Advanced Technologies: Apply IoT, AI, and data analytics for real-time monitoring, predictive maintenance, and automation.
  • Troubleshoot and Maintain Systems: Diagnose and resolve issues in automation and control systems to ensure optimal performance.
  • Manage Automation Projects: Lead projects from planning to execution, ensuring efficiency, quality, and cost-effectiveness.
  • Drive Innovation: Conduct research and apply new technologies to improve automation and industrial operations.
  • Ensure Safety and Compliance: Design systems that meet industry standards and regulatory requirements.
  • Advance Your Career: Prepare for leadership roles in manufacturing, energy, automotive, and robotics industries.
  • Promote Sustainability: Implement automation solutions that improve energy efficiency and reduce waste.

This programme equips you with the skills and knowledge to excel in industrial automation and drive technological advancements.

Programme is subject to change.

Where changes are made, ECT will ensure that they are appropriate and will notify students and applicants in advance. Where changes are considered significant, ECT will take reasonable steps to minimise disruption and, where appropriate, consult with affected students.

This programme is ideal if you are interested in how intelligent systems control industrial processes, how data and instrumentation improve decision-making, and how automation supports modern, large-scale industries. It suits students who want to move into specialist or senior engineering roles, or who wish to strengthen their technical profile within automation, control, or instrumentation.

If you are motivated to apply advanced engineering knowledge to real-world industrial systems and develop the skills required for leadership and innovation, this MSc offers a clear and practical pathway forward.

The programme is composed of 8 modules and a thesis. These modules cover a range of aspects to provide you with maximum practical coverage in the field of Master of Science (Industrial Automation and Instrumentation and control).

 Module Codes Modules Credit
MIAI711 Industrial Automation Introduction 15
MIAI712 Programmable Logic Controllers 15
MIAI713 Industrial Process Control Systems 15
MIAI714 Industrial Instrumentation 15
MIAI715 Industrial Data Communications 15
MIAI716 SCADA and Distributed Control Systems 15
MSCX700 Engineering Practice and Key Research Methods 15
MSPT701 Project Thesis 60
PRAC006 Professional Practice Hands-on Workshop 0
INDX002 Professional Experience 0
Electives (choose 1)
MIA717 Advances Process Control 15
ELEC723 Substation Design and Automation 15
ELEC724 Electrical Engineering for Industrial Automation 15
ELEC725 Machine Learning for Industrial Automation 15
ELEC726 Safety Instrumented Systems 15
Total Credits 180

This programme combines practical, industry-relevant learning with ECT’s distinctive online delivery methodology. Designed to be interactive and globally connected, it ensures you develop both technical expertise and real-world skills.

You will gain hands-on experience using industry-standard simulation software and real engineering equipment through ECT’s Virtual and Remote Laboratories, accessible from anywhere in the world.

Teaching blends pre-recorded lectures, which you can study at your own pace, with live interactive tutorials led by industry-experienced lecturers. Dedicated Learning Support Officers provide ongoing guidance throughout your studies.

Where Recognition of Prior Learning (RPL) does not apply, students complete a 40-hour mandatory virtual workshop that develops applied skills through an industry-based case study. In addition, all students must complete 240 hours of approved engineering workplace experience as part of the practical requirements of the degree achieved.

Learn more here.

This programme may use the following software:

  • VPLabs
  • Codesys Version 3.5.17.0
  • Control System Toolbox
  • System Identification Toolbox
  • Statistics and Machine Learning Toolbox
  • Model Predictive Control Toolbox
  • Realterm
  • Modbus (Serial and TCP)
  • Wireshark
  • OPC
  • Factory Talk View Studio
  • mod_RSsim
  • WinTr from
  • PlantSCADA
  • Python with Pandas, Numpy, Matplotlib, Scikit-learn, Statsmodels, Tensorflow
  • WEKA
  • R with Caret package
  • MATLAB with Deep Learning Toolbox
  • Open PHA™ – Kenexis
  • 61850 TestSuite Pro
  • PCM600 (Protection and Control IED Manager)
  • MATLAB
  • PowerFactory
  • LabView

Due to ongoing module and programme reviews, software may change from the list provided. 

Graduates of this programme will be able to demonstrate the following learning outcomes:

  1. Demonstrate a comprehensive understanding of the scientific and engineering principles and apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences to solve problems in industrial automation engineering.
  2. Apply in-depth as well as broad understanding of the relevant specialist body of knowledge within the industrial automation engineering discipline including: Industrial data communications, Programmable logic controllers, Industrial Process Control Systems, Industrial Instrumentation, Advanced process control, SCADA and Distributed Control Systems while incorporating risk management and security protocols into professional practice.
  3. Critically reflect on a broad body of engineering knowledge to plan and execute research-based projects in industrial automation and instrumentation control, remaining aware of evolving trends in risk assessment and security challenges within the field.
  4. Draw on the knowledge of engineering design practice and understand the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the industrial automation and instrumentation control engineering discipline.
  5. Apply systematic approaches, design processes and established engineering methods, tools, techniques and resources, underpinned by hazard and risk framework considerations to conduct and manage industrial automation engineering projects.
  6. Communicate technical ideas, design concepts, and research outcomes clearly and effectively to diverse audiences, including conveying complex risk and security considerations in an accessible manner.
  7. Ability to recognise and proactively engage in lifelong learning, as well as develop creative and innovative solutions to engineering problems.
  8. Demonstrate professional use and management of information, ensuring data integrity and security in all professional activities.
  9. Apply discipline and professional knowledge and skills to demonstrate autonomy, adaptability and responsibility as a professional engineer committed to ethical practices and risk-aware decision making.
  10. Ability to work as a member of a cross-disciplinary team in a manner consistent with ethical and professional standards and contributing to a culture of robust risk management and security risk practices.

The time commitment for each programme varies based on students’ prior knowledge, experience, and the specific module. Typically, a part-time student would expect to spend 10-15 hours per week. A full-time student would expect to spend 25-30 hours per week. This includes self-study, pre-recorded lectures, live webinars, tutorials, and assessments.

Students studying on a full-time basis are expected to complete their programme over 1 year, and those enrolled on a part-time basis over 2 years.

Graduates of this degree can get involved in a wide range of exciting and rewarding career opportunities across various industries.

Potential job roles include engineering and management positions in the following areas of expertise:

  • Automation Engineer
  • Control Systems Engineer
  • Instrumentation Engineer
  • Process Control Engineer
  • Robotics Engineer
  • Systems Integration Engineer
  • Maintenance Engineer (Automation)
  • Project Manager (Automation)
  • Manufacturing Systems Engineer
  • Data Analyst (Industrial Automation)
  • Application Engineer (Automation Software)
  • Energy Management Engineer
  • Field Service Engineer (Automation and Control)
  • Research and Development Engineer.
  • Consultant (Automation and Instrumentation)

A minimum of a lower second-class (2:2) honours degree or international equivalent in electrical, electronic or mechatronic engineering. Other disciplines including mechanical, computer science, mathematics, or physics will be considered on a case-by-case basis.

AND

evidence of strong relevant content within your degree programme. When assessing your academic record and the suitability of your degree background, we take into account your grade average with particular emphasis on relevant course units and the standing of the institution where you studied your qualification. We will be checking for sufficient relevant content in at least one of the following areas: electrical power systems, control and automation, maths and programming.

English Language Requirements (if applicable):

  • IELTS at least 6.5 overall with no component below 6.0.
  • TOEFL iBT: at least 90 overall with no subtest below 20.
  • Pearson PTE: at least 70 overall with no subtest below 65.

For a full list of entry requirements by country, please visit our Admissions page.

For full current fees in your country go to the drop-down filter at the top of this programme page or visit the Fees page here.

Payment Methods

Learn more about payment methods, including payment terms & conditions and additional non-tuition fees on the Fees page here .

 

The Higher Education and Research Act (HERA) 2017 requires all higher education providers in England to register with the Office for Students (OfS). As a registered provider, with UKPRN: 10089771, we demonstrate our commitment to complying with the regulatory standards set for higher education institutions in England.

Our UK degrees are designed to meet the highest standards of academic quality and rigour, ensuring they align with industry demands and enhance your career prospects. Upon completion, our students will gain an internationally UK recognised qualification that meets the required UK national educational frameworks.

ECT is also a member of the Quality Assurance Agency for Higher Education (QAA), the UK’s independent quality body for higher education. This membership demonstrates our ongoing commitment to maintaining and enhancing academic quality and standards.
QAA Membership Badge

In accordance with UK consumer protection law, students have a cooling-off period during which they can change their mind, withdraw from their programme and cancel their contract. This period starts when they receive their offer and ends 28 calendar days from the date of enrolment.

If a student cancels within this period, they will not be liable for any tuition fees and will receive a full refund of any fees already paid.


  

























































    
    
		
		


    
        
    
UK ECT | Engineering College of Technology