Outline
Outline
Today, Mathematics plays an important role in the optimisation of industrial systems and is used in many fields, including technology, natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. The Industrial Optimisation Major is designed to provide students with the skills in mathematics, engineering and computing and to apply them to problems arising in business, industry and government. The Major includes units in advanced calculus and linear algebra that provide foundation knowledge as well as units in modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability. Industry-based units will help you to experience real applications. Graduates are well-equipped with the tools to address the key problems that need to be solved to improve the efficiency and productivity of business and industry.
Please refer to the handbook for additional course overview information.
How to apply
This major sits within the Bachelor of Science degree. To apply for this major, you will apply for the Bachelor of Science. In step 3 of the application process, you will be asked to confirm the major you wish to study.
Applying as an undergraduate student is easy. For information tailored to your situation, visit our easy to follow instructions to get your application started.
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What you'll learn
- understand and apply mathematical and statistical principles and concepts in areas such as operations research to solve problems relevant to science, industry, commerce and government
- apply mathematical and statistical methods to critically analyse problems in industrial optimisation and to think creatively to generate innovative solutions
- locate, extract and critically appraise relevant evidence and scientific literature in relation to industrial optimisation
- communicate effectively within the context of industrial optimisation through the written word and by oral presentation
- use new technologies to effectively gather data and communicate information
- understand the theoretical framework of industrial optimisation science and work as a responsible, reflective, self-directed and motivated lifelong learner
- be aware of the diversity of international perspectives and apply international standards of practice within their profession
- respect the rights of individuals and the importance of cultural diversity within the scientific field
- display high levels of professional behaviour both independently and as a team member through the use of ethical practices within the scientific field
