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Units in second semester 2021 may be delivered online and in alternative formats whilst restrictions in relation to the COVID-19 pandemic are in place.

Industrial Engineering

Industrial Engineering

Postgraduate Major


Industrial Engineering Major (MSc Science)


Gain expertise in the mathematical side of engineering and develop systems to improve industry productivity.

Industrial Engineering


Learn to apply your studies to real industry challenges and situations.

Work experience

Work on major industrial engineering research projects.

Top 1 %

Curtin is ranked in the top one per cent of universities worldwide.

Academic Ranking of World Universities 2020.

Industrial engineering is an interdisciplinary field, requiring knowledge in mathematics, physics, engineering and even social sciences, such as psychology. Industrial engineers apply science, mathematics and engineering methods to complex system integration and operations to eliminate wastefulness.

Industrial engineers develop, design and refine systems and processes focused on improving quality and productivity. This includes systems and processes relating to people, money, information, equipment and energy.

Due to the nature of the work, industrial engineers have expertise in engineering and mathematics principles and methods, and in business fundamentals such as logistics and operations management.

They are also regarded for their strong interpersonal skills and their ability to work well with people to achieve optimised work processes and systems.

This course provides you with a combination of technical depth and business fundamentals.

In this course, you will be involved in major industrial engineering research projects where you will be able to apply your acquired skills to help meet the challenges and opportunities that exist in the real world. In particular, you will have the skills to manage big data and apply business analytics to modern industry.

You will also study systems for total quality management and learn how to apply models to large-scale industrial problems. 

This major sits within the Master of Science (Science) degree. To apply for this major, you will apply for the Master of Science (Science).

Please refer to the handbook for additional course overview information. 

Why study

  • Gain the skills to use your mathematical training to increase productivity, improve quality and operate less wastefully.
  • Take advantage of the strong demand for professionals with higher degree qualifications in this vibrant field.

Career information

There is a strong demand for professionals with higher degree qualifications in industrial engineering from government departments such as those relating to agriculture, treasury, transport and infrastructure and the Forest Products Commission. Graduates also find work in government agencies such as CSIRO and DSTO, and commercial companies involved in the industries of mining and petroleum, banking, communications, defence, transport, logistics and manufacturing.

What you'll learn

  • the skills necessary to pursue research into developing models and techniques for difficult industry problems for which available methods are either not applicable or else are computationally intractable
  • a clear and concise understanding of the principles and techniques that can be applied to modelling and optimising a range of industrial systems
  • a suite of optimisation tools that can be applied to generate a range of accurate and robust outputs that assist management in developing effective strategic, tactical and operational plans
  • communicate effectively in language appropriate to the discipline of Industrial Modelling & Optimisation in both the oral and written word through the production of a large and detailed project report
  • an appreciation of the contribution that modelling and optimisation technology can provide to improve the quality, efficiency and productivity of industry; use established and emerging technologies and applies them appropriately within the field of Industrial Modelling and Optimisation
  • demonstrate an ability to be self-motivated and self-directed lifelong learners, keeping up to date with recent developments in the discipline
  • understand and appreciate the global nature and impact of industrial modelling and optimisation and the international standards of practice that are relevant to their profession
  • appreciate the importance of cultural diversity and individual human rights and how these impact on their profession; work both as an independent professional and within teams, either as a leader or a collaborator, using effective problem solving and decision making skills in an ethical manner
  • experience in a significant industry focussed R&D project

Admission criteria

  • A recognised bachelor degree in science or engineering and have achieved competency in mathematics or a related discipline to the level of second year tertiary study, OR
  • A recognised bachelor degree with honours in a related field or graduate diploma in a related field. Applicants via this pathway may be eligible for credit for recognised learning.

Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.

IELTS Academic (International English Language Testing System)
Overall band score6.5
  • Pearson Test of English Academic: 60
  • Certificate in Advanced English (CAE): 176

You may demonstrate English proficiency using the following tests and qualifications.

Other requirements and notes for this course

This course is two years full-time for applicants with a bachelor degree in science or one year full-time for applicants with honours or a postgraduate diploma.

You may choose to undertake intensive periods of course study or project work over the summer or vacation periods.

To enrol in this course you will need to apply for the Master of Science – School of Science and Computing (308719) with an Industrial Engineering major. You will graduate with a Master of Science (Industrial Engineering).

In addition to the course-specific admission criteria listed above, please read our general admission criteria. Our general admission criteria apply to all courses at Curtin University.

Advanced standing

At Curtin, we understand that everyone’s study journey has been different.

You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.

If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.

A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.

CRL is also known as recognition of prior learning, advanced standing and credit transfer.

Use the CRL search to find out how much CRL you qualify for, or contact us at:


Tel: 1300 222 888

CRL search

Fees & charges

Please view the Master of Science (Science) degree for indicative fees.

How to apply

Please review information on how to apply for the campus of your choice

Apply now

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  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information. View courses information disclaimer.

  • Curtin course code: MJRP-IENGM
  • Last updated on: July 21, 2021