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 will provide you with skills in mathematics, engineering and computing, and 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 our ability to partner in work experience programs provide you with opportunities to engage with real-world applications. Upon completing the course, you'll have the knowledge and skills to improve the productivity of business and industry.
This major sits within the Bachelor of Science (Science) degree. It can also be studied as part of the Bachelor of Advanced Science course.
See our handbook for more course information.
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 groups and the units we offer are designed to provide you with the practical skills needed to address real-world problems.
The work experience program we deliver from second year onwards will expose you to real applications of your studies and introduce you 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
Further study
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