Chi tiết khóa học Graduate Certificate in Industrial Automation and Machine Learning, School of Industrial Automation, Instrumentation and Process Control, Engineering Institute of Technology

Graduate Certificate in Industrial Automation and Machine Learning

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There is a global shortage of automation, instrumentation, Machine Learning and control engineers. Due to the rapid growth of new industries and technologies, industrial processes are becoming increasingly automated. Previously mechanized systems that required human intervention now use computerized control systems for higher accuracy, precision, and cost-effectiveness. This Graduate Certificate in Industrial Automation and Machine Learning equips professionals with advanced skills in automation and machine learning to enhance their engineering careers. Over six months, the program focuses on developing technical, communication, and problem-solving skills for tackling complex engineering challenges in industrial process control, automation, and machine learning. Graduates will be prepared to analyze, innovate, and solve specialized engineering problems, advancing their expertise in the field. This program is ideal for professionals seeking to specialize and further their careers in industrial automation and machine learning.Upon completion, students should be able to:Apply scientific, engineering, and mathematical principles to solve problems in industrial automation.Utilize knowledge of control systems, PLCs, machine learning, SCADA, and project management in industrial automation.Understand sustainable engineering practices and engineering design within the industrial automation discipline.Industrial automation and Machine Learning are one of those expanding streams of engineering with an increasingly profound influence on most industries and enterprises. This graduate certificate will provide you with advanced skills in Industrial Automation and Machine Learning. Students with a background in electrical, mechanical, instrumentation and control, or industrial computer systems engineering can benefit from this program.The content has been carefully designed to provide you with relevant concepts and the tools required in today’s fast-moving work environment. Our range of units cover in-depth knowledge of Automation fundamentals, networking, communication, Machine learning and program control strategies.Course Benefits:Well-designed modules to upskill you with fundamental and advanced knowledge for achieving you career goals in industrial automation and machine learning, aligning with your career aspirations in the field.Hands-on experience with industry-standard tools for applications in automation.Insights from industry experts on the latest automation and machine learning technologies and practices.Opportunities to develop professional skills in both individual and team settings, improving both personal and collaborative engineering competencies.Global recognition and career advancement opportunities in the automation and Machine Learning industry.

Khoa bạn sẽ vào học

School of Industrial Automation, Instrumentation and Process Control

Các hình thức học tập

Trực tuyến/Từ xa (6 tháng)

Học phí
A$5,603.00 (93,327,309 đ) một năm
Administration Fee:AU$250.
Ngày bắt đầu

Tháng Một 2027

Trực tuyến/Từ xa (6 tháng)

Học phí
A$5,603.00 (93,327,309 đ) một năm
Administration Fee:AU$250.
Ngày bắt đầu

Tháng Sáu 2027

Yêu cầu đầu vào

Dành cho sinh viên quốc tế

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.
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 bachelors 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 bachelors 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)

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