Course Overview
The objective of this master’s program is to equip students with expertise in Industrial Automation engineering, meeting the increasing demands of industry, including control, instrumentation, communication, machine learning and safety.
The Master’s program is designed to equip students with essential skills for the automation sector, integrating twelve core modules and a project thesis. Targeted at professionals with backgrounds in fields like electrical, electronics, and mechanical engineering, the curriculum includes key subjects such as Power Engineering, Programmable Logic Controllers, and Industrial Process Control Systems, laying a robust foundation in both theory and application.
The course culminates with a Project Thesis, a significant research component that enhances the students’ ability to apply their knowledge creatively and critically. This capstone project fosters independence and innovation, preparing graduates to contribute effectively to the Industrial Automation industry and address complex challenges in their future careers.
Course Benefits:
- Well-designed modules and electives to equip you with essential skills and knowledge for achieving career goals in automation.
- Hands-on experience with industry-standard tools for applications in automation.
- Insights from industry experts on the latest automation technologies and practices.
- Capstone project focuses on real-world automation challenges, promoting innovative solutions.
- Global recognition and career advancement opportunities in the automation industry.
This course is internationally recognized under the Washington Accord.
Program Details
The rapid growth of new industries and technologies has led to a global shortage of skilled automation, instrumentation, and control engineers. The Master of Engineering (Industrial Automation) program is tailored to address these needs by providing comprehensive knowledge and skills essential for the industry. It is a comprehensive two-year program that includes 12 units, along with a variety of elective options, each dedicated to crucial aspects of Industrial Automation engineering.
Industrial Automation Introduction provides the fundamental knowledge that is essential in the automation area. Power Engineering covers major equipment and technologies used in power systems, including power generation, transmission, and distribution networks. Programmable Logic Controllers covers in-depth principles of operation of programmable controllers, networking, distributed controllers, and program control strategies. Industrial Process Control Systems combines the process identification and feedback control design with a broad understanding of the hardware, system architectures and software techniques widely used to evaluate and implement complex control solutions.
Furthermore, Industrial Instrumentation identifies key features of widely used measurement techniques and transducers combined with microprocessor devices to create robust and reliable industrial instruments. Industrial Data Communications provides the requisite knowledge to manage modern field buses and industrial wireless systems. Safety Instrumented Systems introduces the common safety philosophy of hazard identification, risk management and risk-based design of protection methods and functional safety systems. SCADA and DCS cover hardware and software systems, evaluation of typical DCS and SCADA systems and configuration of DCS controllers. Advanced Process Control covers advanced control systems, algorithms, and applications. Machine Learning for Industrial Automation provides the intelligent control basics in the automation area.
The Project Thesis, as the capstone of the course, requires a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding subjects. As a significant research component of the course, this project will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling students to critique current professional practice in the Industrial Automation industry.
Course Changes based on Student Feedbacks:
EIT considered all the feedbacks from the students and made following changes to this MIA course:
- Electives have been added to the course to provide students with more areas of expertise.
- Assessment due dates have been spaced out across all MIA course subjects to ensure an even distribution of the assessment load for all MIA students.
- Assessment rubrics have been included in report-based assessments throughout the MIA course.
The program is composed of 13 units. These units cover a range of aspects to provide you with maximum practical coverage in the field of Industrial Automation Engineering.
Please refer to the current teach-out program structurehere.
Year One |
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| Semester | Unit Number | Module/Unit Name | Duration (weeks) | Credit Points |
| Semester 1 | MIA500A | Industrial Automation Introduction | 12 | 3 |
| MIA502A | Programmable Logic Controllers | 12 | 3 | |
| MIA503A | Industrial Process Control Systems | 12 | 3 | |
| MIA504A | Industrial Instrumentation | 12 | 3 | |
| Semester 2 | MIA509A | Electrical Engineering for Industrial Automation | 12 | 3 |
| MXX507 | Professional Engineering Management | 12 | 3 | |
| MIA508A | Safety Instrumented Systems | 12 | 3 | |
| MIA510A | Industrial Data Communications | 12 | 3 | |
Year Two |
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| Semester 1 | Elective 1* | Choose any 1 from the following list below | 12 | 3 |
| MIA602A | SCADA and Distributed Control Systems | 12 | 3 | |
| Elective 2* | Choose any 1 from the following list below | 12 | 3 | |
| MXX601 | Engineering Practice and Key Research Methods | 12 | 3 | |
| Semester 2 | ME700 | Project Thesis | 12 | 12 |
*Pool of Elective Units |
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| MIA605A | Machine Learning for Industrial Automation | 12 | 3 | |
| MIA603A | Advanced Process Control | 12 | 3 | |
| MME602A | Computer Aided Design and Manufacturing | 12 | 3 | |
| MME505A | Process Engineering | 12 | 3 | |
| MME606A | Data Analytics for Engineering Applications | 12 | 3 | |
| MEE511 | Renewable Energy Systems | 12 | 3 | |
| MEE606 | Substation Design and Automation | 12 | 3 | |
| MEE605 | Smart Grids | 12 | 3 | |
Additional Mandatory Units |
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| BXX001 | Hands-on Workshops 1 | 1 | 0 | |
| BXX002 | Hands-on Workshops 2 | 1 | 0 | |
| BXX003 | Hands-on Workshops 3 | 1 | 0 | |
| BXX004 | Hands-on Workshops 4 | 1 | 0 | |
| MXX001 | Professional Practice Hands-on Workshop | 1 | 0 | |
| MXX510 | Professional Experience | 1 | 0 | |
- Demonstrate sound fundamental 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.
- Apply in-depth as well as broad understanding of the relevant specialist body of knowledge within the Industrial Automation engineering discipline including programming logic controllers; control systems and instrumentation; safety systems; machine learning; Industrial communication, SCADA, and systematic project management.
- Reflect critically on a broad body of engineering knowledge to plan and execute an Industrial Automation engineering research-based project, with awareness to knowledge development and research direction within the engineering discipline.
- 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 engineering discipline.
- 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.
- Communicate effectively technical ideas, design concepts or research results to diverse audience.
- Recognise and pro-actively engage in lifelong learning, as well as develop creative and innovative solutions to engineering problems.
- Demonstrate professional use and management of information.
- Apply discipline and professional knowledge and skills to demonstrate autonomy, adaptability, and responsibility as a professional engineer.
- Collaboratively work as a member of a cross disciplinary team in a manner consistent with ethical and professional standards
(Deputy- Vishal Sharma)
To gain entry into this program, we require applicants to hold:
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- A recognized 3-year bachelor degree* in an engineering qualification in a congruent** field of practice; OR
- An EIT Bachelor of Science (Engineering) degree* in a congruent** field of practice; OR
- A 4-year Bachelor of Engineering qualification (or equivalent) that is recognized under the Washington Accord or by Engineers Australia, in a congruent**, or a different field of practice at the discretion of the Admissions Committee; OR
- A 4-year Bachelor of Engineering qualification (or equivalent) * that is not recognized under the Washington Accord, in a congruent** field of practice to this program; AND
- An appropriate level of English Language Proficiency equivalent to an English pass level in an Australian Senior Certificate of Education, or an IELTS score of 6.0 (with no individual band less than 6.0), or equivalent as outlined in the EIT Admissions Policy.
* With integrated compulsory twelve-week professional industry experience, training or project work of which six weeks are directly supervised by a professional/eligible professional engineer as determined by EIT.
** All applicants must have evidence of automation and/or electrical exposure at undergraduate level and/or work experience. Congruent field of practice means one of the following with adequate Industrial Automation Engineering content including fundamentals of Programming, Control and Instrumentation (fields not listed below to be considered by the Dean and the Admissions Committee on a case-by-case basis):
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- Industrial Automation
- Industrial Engineering
- Instrumentation, Control and Automation
- Mechanical Engineering
- Mechanical and Material Systems
- Mechatronic Systems
- Manufacturing and Management Systems
- Electrical Engineering
- Electronic and Communication Systems
- Chemical and Process Engineering
- Robotics
- Production Engineering
Please note: meeting the minimum admission criteria does not guarantee entry to our programs. Applications are assessed on a case-by-case basis.
Please check the Documentation Guidelines for your application.
For full current fees in your country go to the drop down filter at the top of this page or visit the Fees page.
Payment Methods
Learn more about payment methods, including payment terms & conditions and additional non-tuition fees.
Like all Australian higher education providers and universities, EIT programs are accredited by the exacting standards of the Australian Government’s Tertiary Education Quality and Standards Agency (TEQSA).
This on-campus master’s degree (Perth campus and Melbourne campus only) is fully accredited by Engineers Australia under the Washington Accord. It is internationally recognized under the International Engineering Alliance (IEA) accords and the various signatories.
Find out more about country-specific accreditation and professional recognition.
This course is classified as Level 9 under the Australian Qualifications Framework (AQF).
Potential job roles include engineering and management positions in the following areas of expertise:
- Process control, commissioning and production management
- Plant, factory and building automation
- Programmable Logic Controllers (PLCs), Distributed Control Systems (DCSs) and SCADA
- Industrial design and consultation
- Supply chain management, quality assurance, and sales
- Operations, maintenance, field services, and technical support
- Controls, instrumentation, and robotics
- Industrial project management and business development
This course may use the following software:
- VPLabs v12
- Codesys Version 3.5.17.0
- MATLAB (Campus Wide License)
- Realterm
- Modbus (Serial and TCP)
- Wireshark
- OPC”
- Open PHA™ – Kenexis
- Python with Pandas
- Numpy
- Matplotlib
- Scikit-learn
- Statsmodels, Tensorflow
- Factory Talk View Studio
- mod_RSsim
- WinTr from”
- PowerFactory
- LabView
Due to ongoing unit and course reviews, software may change from the list provided. Learn more about the Practical Learning at EIT here
Our master’s degrees take 2 years to complete. Full-time students will spend about 40 hours per week on study. This includes learning the program material, completing assessments and attending tutorials.
Any student has a right to appeal a decision of the Engineering Institute of Technology (EIT) or any member of the institute’s staff. EIT has a comprehensive Policy on Appeals and Grievances to assist students.
You must submit your application at least four weeks before the start date to be considered for your desired intake.
