Graduate Certificate in Industrial Automation and Machine Learning

The program is composed of 4 units. These units cover a range of aspects to provide you with practical coverage in the field of Industrial Automation Engineering.

Please refer to the current teach-out program structure here.

• 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.

• 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.

• 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.

Akhlaqur Rahman

(Deputy- Vishal Sharma)

Applicants are required to:

• Hold a recognized bachelor’s degree (or above) in engineering or science in a congruent field of practice*,
• Have completed the equivalent of first-year Bachelor level mathematics or are able to demonstrate recognized relevant work experience.
• Have an appropriate level of English Language Proficiency at 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.

Applicants who hold a bachelor’s degree in a non-congruent engineering field are required to demonstrate their prior learning and experience is equivalent to the entry requirements (exact positions and roles that will be considered relevant are to be decided by each specialisation and will be considered on a case-by-case basis by the EIT Admissions Committee).

Applicants who do not hold a recognized bachelor’s degree are required to demonstrate their prior learning and experience is equivalent to this qualification. A minimum of an Australian Advanced Diploma (or equivalent) in Engineering and 5 years of technical work experience at a technologist level or above in a relevant engineering field is required for an application to be considered (exact positions and roles that will be considered relevant are to be decided by each specialization and will be considered on a case-by-case basis by the EIT Admissions Committee) **

Please note:

1. All applicants must have evidence of engineering exposure in their degree and/or work experience
2. All applications will be assessed on a case-by-case basis.
3. Please check the Documentation Guidelines for your application.

* Congruent field of practice means one of the following with adequate Industrial Automation Engineering content including programming, control and instrumentation (fields not listed below to be considered by the Dean and the Admissions Committee on a case-by-case basis):

• 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

** Applicants who enter and complete this qualification without holding a prior bachelor’s degree and go on to complete an EIT Master’s Degree may not be eligible for Engineers Australia recognition. However, students can lodge a personal application with Engineers Australia to be assessed on a case-by-case basis.

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).

Find out more about country-specific accreditation and professional recognition.

This course is classified as Level 8 under the Australian Qualifications Framework (AQF).

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

• Process control and systems integration.
• PLC, DCS, and SCADA systems management.
• Industrial machine learning applications.
• Consultation in automation and machine learning.
• Supply chain and quality control automation.
• AI-driven Data Analytics and Optimization Specilaist.
• Project management in industrial automation.

• VPLabs
• v12
• Instruction update 11/09/2019 – v2.4
• Python with Pandas, Numpy, Matplotlib, Scikit-learn, Statsmodels, Tensorflow
• WEKA:
• R with Caret package:
• MATLAB with Deep Learning Toolbox
• Realterm
• Modbus (Serial and TCP)
• Wireshark
• OPC

Our Graduate Certificates take 6 months to complete. The online graduate certificates are delivered on a part-time basis over 2 terms, each of 12 weeks. Students are expected to spend approximately 10 hours per unit, per week learning the program material, completing assessments and attending tutorials. After enrolment the maximum time allowed to complete all units is 3 years.

Application Deadline:

You must submit your application at least four weeks before the start date to be considered for your desired intake.

Census Date:

A census date is the date at which an enrolment is considered to be final. Any withdrawal you make after the study period census date will incur an academic penalty (for example, a fail grade) and a financial penalty (for example, no refund of your student contribution or tuition fees). See our current census dates.

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.

Our courses are delivered by experienced engineers and technical experts from around the world. Many have tackled real-world engineering challenges and bring practical, applied knowledge directly into the classroom.

We draw from a global pool of instructors and lecturers across our organisation. Explore our full team of expert educators on the Instructors & Lecturers page here.

Please note: Not all lecturers and instructors listed on this page will teach every course. The team teaching your course will be confirmed as part of your course enrolment.