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Graduate Certificate in Industrial Automation and Machine Learning

Name: Graduate Certificate in Industrial Automation and Machine Learning
Price: 5094 AUD
Availability: InStock

Location

Online

Study Mode

Online

Outcomes

View All

Qualification

Graduate Certificate

Awarded By

Engineering Institute of Technology (RTO: 51971)

Duration

6 Months

Start Date

Start Anytime

Payment Option

FEE-HELP, Payment plan, Upfront payment

How Much Will It Cost?

Please enquire for further details.

FEE-HELP

This course can be paid for through the FEE-HELP government loan scheme. If you are an Australian citizen or hold a permanent humanitarian visa, you may not need to pay upfront.

Instead, the Australian government will pay your course fees directly to the provider on your behalf. You’ll begin repaying your loan through the tax system once you start earning more than the minimum threshold of $54,435 (2024-25 financial year).

Find out more about government study loans here.

Payment plan

Flexible payment plans are available for this course, making it easier to invest in your future. Enquire now to find out more!

Course Rundown

The Graduate Certificate in Industrial Automation and Machine Learning, offered by the Engineering Institute of Technology, is designed to equip professionals with the advanced skills necessary to thrive in the rapidly evolving fields of automation and machine learning. Over a six-month online program, participants will delve into key areas such as industrial process control, automation fundamentals, and machine learning applications. This course is particularly beneficial for those with backgrounds in electrical, mechanical, instrumentation, or control engineering, providing them with the tools to tackle complex engineering challenges and enhance their career prospects.

Throughout the course, students will engage with industry-standard tools and gain insights from experienced professionals, ensuring they are well-prepared for the demands of the automation industry. The curriculum covers essential topics including control systems, PLCs, SCADA, and sustainable engineering practices, fostering both technical and soft skills. Graduates will emerge with a comprehensive understanding of how to apply scientific and engineering principles to solve real-world problems, making them valuable assets in their respective fields. Enquire to learn more.

Eligibility

To be eligible to study this course, applicants must meet the following entry requirements:

Hold a recognised 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 recognised 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.

FAQS

What You’ll Learn

In this Graduate Certificate in Industrial Automation and Machine Learning course, the subjects students may study include:

MIA500A – Industrial Automation Introduction
MIA605A – Machine Learning for Industrial Automation
MIA503A – Industrial Process Control Systems
MIA510A – Industrial Data Communications

Why study with Engineering Institute of Technology

The Engineering Institute of Technology (EIT) is a premier institution dedicated to providing high-quality engineering education. With a focus on practical, industry-relevant training, EIT offers a diverse range of programs, including professional certificates, diplomas, undergraduate and postgraduate degrees, and a Doctor of Engineering. Students from over 140 countries benefit from EIT’s unique delivery methods, which combine expert lecturers, state-of-the-art technology, and hands-on learning experiences.

What sets EIT apart is its commitment to student satisfaction and success. The institute has been recognised as a leading provider for overall student satisfaction in postgraduate engineering programs and for the quality of educational experience in undergraduate engineering programs. EIT’s supportive learning environment empowers students to thrive, ensuring they are well-prepared to meet the challenges of the engineering industry.

Student Support

Engineering Institute of Technology - Student Support

Discover the Support Offered by the Engineering Institute of Technology

The Engineering Institute of Technology (EIT) is dedicated to providing students with a comprehensive support system designed to enhance their learning experience and ensure their success. With a focus on practical skills and industry relevance, EIT offers a range of resources to help students thrive in their engineering studies.

Access to Mentors and Coaches

Students at EIT benefit from access to experienced mentors, course advisors, and success coaches who are committed to guiding them throughout their educational journey. This support helps students navigate their studies and career paths with confidence.

Interactive Learning Portals

EIT provides a state-of-the-art learning management system, Moodle, where students can access course materials, submit assessments, and engage in discussions. This platform ensures that students have all the resources they need at their fingertips.

Hands-On Experience

Through innovative remote laboratories and simulation software, EIT offers students the opportunity to gain practical experience in a virtual environment. This hands-on approach reinforces theoretical knowledge and prepares students for real-world engineering challenges.

Additional Support Services

Dedicated Student Email: All higher education students receive a dedicated email for efficient communication with faculty and staff.
Learning Resources: Access to a vast array of learning materials and an eLibrary to support academic success.
Assessment Integrity: Utilisation of IRIS Invigilation and Turnitin to maintain academic integrity during assessments.

With these resources and support systems in place, students at the Engineering Institute of Technology are well-equipped to achieve their academic and professional goals.

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