Graduate Certificate in Industrial Automation and Machine Learning

Course Duration
Duration
  • 6 Months
Course Study
Study Mode
  • Online
  • Online Industrial Automation
Course Location
Location
  • Online
Course Code
Course Code
GCML
Course Intakes
Intakes
  • 6 January 2025
  • 30 June 2025
Course Type
Course Type
  • Industrial Automation, Instrumentation and Process Control
Course Fees
Fees

Course Overview

This Graduate Certificate in Industrial Automation and Machine Learning equips professionals with advanced skills in automation technologies and machine learning applications for career enhancement in engineering

This 6 month long Graduate Certificate in Industrial Automation and Machine Learning (GCML) is designed in consultation with industry experts and is designed to equip you with communication (oral and written) skills to investigate, analyse and present technical ideas, information and solutions on Industrial Automation and Machine Learning related problems and projects in a professional, independent and organised manner, individually and in teams, within the engineering domain.

Upon completion of this graduate certificate, 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. These programs are particularly beneficial for engineering practitioners who are looking to advance their careers by further validating their specialization within the field of industrial Automation Engineering and Machine Learning.

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.

Program Details

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.

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.

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.

Unit Number Module/Unit Name
(please ensure links are directing the correct unit outline)
Duration (weeks) Credit Points
MIA500A  Industrial Automation Introduction 12 3
MIA605A Machine Learning for Industrial Automation 12 3
MIA503A  Industrial Process Control Systems 12 3
MIA510A  Industrial Data Communications 12 3

  • 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).

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

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

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 takes 6 months to complete. The online graduate certificates are delivered on a part-time intensive basis over 2 terms, each of 12 weeks. Part-time students are expected to spend approximately 20 hours per week learning the program material, completing assessments and attending tutorials.After enrolment the maximum time allowed to complete all units is 3 years.

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.

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

Hear from our students

  The delivery methodology and the information available in the e-library can’t be beaten. The other important aspect of online education is recorded lectures. You can review the tutorial and lessons on repeat when you need to understand the concept.  
M Masemola, South Africa
  What I liked most about the course and EIT is the flexibility is offered regarding education. It gave me the opportunity to study and work full-time.  
C Groenewald, South Africa
  I enjoyed interacting with students all around the world, and seeing how the principles I have learned applies to them as well.  
S Zeelie, South Africa
  My line of work requires me travel quite often. I could not attend every class due to my remote locations, but still I could recap and stay on top of the study material thanks to the recordings. Also, all the Instructors were world class.  
P Pretorius, South Africa

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