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104 weeks
Online
Online / Full-time or Part-time equivalent · Approximately 10 hours per unit, per week; students are expected to study for 48 weeks of the year
29 June 2026
![Master of Engineering (Applied Research) - [Industrial Automation]](https://www.eit.edu.au/wp-content/uploads/2026/03/Industrial-Automation_Rankmath.webp)
Course Overview
Advance your engineering expertise with our Master of Engineering – Applied Research (Industrial Automation), combining cutting-edge research skills and practical problem-solving to drive innovation in real-world engineering challenges. This Master is a two-year postgraduate degree for engineers seeking to advance their expertise in emerging automation technologies and industrial data systems.
Program benefits:
The program combines advanced coursework with a major research project that addresses real-world engineering challenges, driving innovation and improving smart and data-driven manufacturing practices. Students will explore applied research methodologies to tackle contemporary engineering problems, with opportunities to investigate emerging technologies and innovative solutions. With guidance from experienced supervisors, students will develop advanced analytical, critical thinking, and communication skills essential for leadership roles in the automation, manufacturing, and engineering consulting sectors.
Where You Can Study
Brisbane
Level 6, 333 Adelaide Street, Brisbane, QLD 4000
Eligibility
Career & Study Pathways
Potential job roles include (but are not restricted to) engineering positions in the following areas of expertise:
This program will also benefit those currently working as:
Quality & Recognition
Academic Regulator
TEQSA
Professional Body
Engineers Australia (EA)
Accreditation Status
AccreditedSkills Assessor
Engineers Australia
Course Content
Industrial Automation Introduction
Coursework unit — 3 credit points
Programmable Logic Controllers
Coursework unit — 3 credit points
Industrial Process Control Systems
Coursework unit — 3 credit points
Engineering Practice and Key Research Methods
Research unit — 3 credit points
Master's Research Project – Proposal
Research unit — 3 credit points
Technology Evaluation and Intellectual Property
Coursework unit — 3 credit points
Online Elective Unit from the MIA coursework stream (Level 5)
Coursework elective — 3 credit points
Online Elective Unit from the MIA coursework stream (Level 6)
Coursework elective — 3 credit points
Master's Research Project – Research Implementation
Research unit — 12 credit points (Year 2)
Master's Research Thesis
Research unit — 12 credit points (Year 2)
Professional Practice Hands-on Workshop
Additional mandatory unit
Professional Experience
Additional mandatory unit
Common Questions
The Master of Engineering – Applied Research comprises 48 credit points and is designed to be completed over two years full-time (or part-time equivalent). Students must complete 18 credit points by coursework (6 units) and a research component equivalent to 30 credit points. Two of the six units are electives selected from the Master by Coursework stream within the relevant engineering discipline. The second year is dedicated to the research component, where students complete two research units supporting the development and execution of their research project and produce a thesis at AQF Level 9.
Yes. Students who elect to exit the program after successfully completing the first four units can opt to receive EIT's Graduate Certificate in Industrial Automation and Engineering Practice.
EIT's Master of Engineering programs require students to undertake 240 hours of paid or unpaid professional work-integrated learning. This can incorporate paid or unpaid internships, site visits, contributing to industry projects, and networking activities. If you already have some work experience in the relevant engineering field, you may apply to have credit granted by completing the associated recognition of prior learning form.
This course may use the following software: VPLabs, Codesys, Realterm, Modbus (Serial and TCP), Wireshark, OPC, Open PHA™ – Kenexis, Numpy, Scikit-learn, Statsmodels, Tensorflow, Factory Talk View Studio, mod_RSsim, WinTr from PowerFactory, MATLAB/Simulink, and LabView. Please note that due to ongoing unit and course reviews, the software list may change.
The master's degree is designed to be completed in two years full-time or part-time equivalent, delivered over four 12-week terms per year. Students are expected to study for 48 weeks of the year and dedicate approximately 10 hours per unit, per week. Following enrolment, the maximum time allowed to complete all units is five years.
Application
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Step 01
Enquire
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Step 02
Submit Documents
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Step 03
Get Enrolled
Receive your offer letter and confirm your enrolment. Welcome to the course!
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