Industry 4.0 and Process Automation University Certificate in Professional Development

Program Overview

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Course overview

The government has provided funding for this course, independent of any previous or current funding you may have for educational purposes. You can apply for short course funding if you are currently in education, or already qualified to degree, master’s or PhD level. If you are funding this course with a student loan you also need to meet student loan eligibility criteria. Find out more about short course loans

Learn how machines can communicate, collect information and make informed decisions through artificial intelligence, big data and industrial internet of things.

This course is part of a series to develop your skills in sustainable engineering, digital engineering, sustainable manufacturing, Industry 4.0 and process automation.

You develop the knowledge and skills needed by employers and the economy.

This course is ideal if you are:

a school or further education college leaver wanting to explore a subject before committing to a full degree

unemployed and wanting to develop skills to improve your employability

a teacher looking to refresh your knowledge in a subject, or to learn new skills

in work and your performance can be enhanced by learning new knowledge and skills

returning to education after a break

currently in higher education and would like to compliment your skillset with additional knowledge and skills.

If you are funding this course with a student loan you also need to meet student loan eligibility criteria.

Other net zero and sustainable engineering short courses:

Digital Engineering

Engineering Mathematics Applications

Innovation to Net Zero

Sustainable Engineering Principles

Sustainable Manufacturing

You can only enrol on one short course at a time.

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Program Outline

Course details

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What you study

Industry 4.0, together with advancing automation, decentralisation, system integration and cloud computing, is revolutionising engineering and manufacturing sectors. Machines can communicate, collect information and make informed decisions through artificial intelligence, big data and industrial internet of things.

You learn through a combination of lectures and seminars. Lectures develop key concepts and knowledge, seminars allow more focused examinations of important issues and approaches.

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How you learn

We work with you to establish your support needs to develop a personalised support plan. You can engage with assessments tasks and get feedback at regular points.

Weeks 1-10:

Each week:

One-hour recorded online lecture

Two-hours face-to-face class-based teaching (Wednesday 4.00pm - 6.00pm)

Two hours online classes (Thursday 6.00pm - 8.00pm)

Weeks 11-12:

Each week:

Two hours synchronous online classes (Thursday 6.00pm - 8.00pm)

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How you are assessed

You are assessed on your subject knowledge, critical thinking and skills acquisition through coursework, practical work and assessments.

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Employability

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Career opportunities

Our short courses are developed with support from our industrial partners to meet the needs of employers.

They are ideal for you to build the skills employers look for, helping you to develop a new and successful career through one of the flexible learning options available.

Once you’ve completed your short course you could also apply to study a degree by transferring your eligible completed credits.