
Overview
Upon completion of this graduate certificate Industrial Automation and Machine Learning at Engineering Institute of Technology , graduates will be able to identify, critically analyse and creatively solve intellectually complex, specialised engineering problems in industrial process control systems, industrial automation and process control systems relevant to Industrial Automation, individually or in groups, underpinned by critical analysis, innovation, evaluation, synthesis, accountability, machine learning and sound engineering judgement of solutions relevant to the engineering domain. You will use skills in established systematic design and project management methodologies to source, analyse, synthesise, design and communicate projects and information individually or in collaboration with others as team members and leaders.
The program is delivered using a wide range of learning activities such as live webinars, written assignments, and remote laboratories. These experiences aim to get the students interacting via technology-based learning experiences that highlight shared skills and knowledge derived from the many cultural and technical contexts in which the students are working.
Potential Job Outcomes
Students who have a Graduate Certificate in Industrial Automation and Machine Learning can enhance their ability and knowledge in the industrial automation field, enabling them to gain and hold employment.
Graduates will be able to work in a wide range of manufacturing, renewable, power, industrial, chemical, military, mineral process and mining industries in mid-career, technical management or senior level role.
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Visit university websiteProgramme Structure
Courses include:
- Machine Learning for Industrial Automation
- Industrial Process Control Systems
- Industrial Data Communications
- Industrial Automation
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 6 months
Start dates & application deadlines
Language
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Credits
Delivered
Disciplines
Industrial & Systems Engineering Machine Learning View 9 other Masters in Machine Learning in AustraliaExplore more key information
Visit university websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
Applicants are required to:
- Hold a recognized bachelor 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.
- CRICOS Provider Number - 03567C
Make sure you meet all requirements
Visit university websiteTuition Fee
Tuition fees depend on your country of origin.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Industrial Automation and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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