Overview
Overview
Mathematics is the study of concepts such as quantity, structure, space and change and the application of these concepts to model and describe the behaviour of real world complex systems. Mathematics is used in most fields, including technology, natural science, engineering, medicine, finance, sociology and psychology.
This course is designed to provide you with skills in mathematics, engineering and computing, and to teach you how to apply these skills to problems arising in business, industry and government.
You will gain knowledge in advanced calculus, linear algebra, modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability.
Our industry-based units and a work experience program will enable you to experience real applications.
As a graduate of this course, you will be 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.
How this course will make you industry ready
This course teaches advanced mathematics and statistics and their real-world applications in engineering, mining and industrial modelling.
Curtin has strong links with industry and the business world through the Statistics Group and the Western Australian Centre of Excellence in Industrial Optimisation. As a result of this close interaction, the units offered are designed to develop the practical skills needed to address real-world problems. A work experience program runs from second year onwards, exposing students to real applications of their mathematical studies, and introducing them to potential employers.
What jobs can the Industrial and Applied Mathematics course lead to?
Careers
- Data analyst
- Industrial engineer
- Information technologist
- Logistician
- Statistical analyst
- Supply chain manager
Industries
- Engineering
- Government
- Logistics and supply chain networks
- Risk management
What you'll learn
- understand and apply mathematical and statistical principles and concepts in a range of mathematical disciplines such as operations research, statistics, numerical analysis or applied mathematical modelling, and to solve problems relevant to science, industry, commerce and government
- apply mathematics and statistical methods to critically analyse problems in science, finance and engineering; and to think creatively to generate innovative solutions
- locate, extract and critically appraise relevant evidence and scientific literature in relation to mathematical science
- communicate effectively within the context of mathematical science through the written word and by oral presentation
- use new technologies to effectively gather data and communicate information
- understand the theoretical framework of mathematical 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 as a mathematical scientist
- understand cultural diversity and how it impacts on the discipline of mathematical science
- display professional behaviour both independently and as a team member through the use of ethical practices