Industrial and Applied Mathematics (Advanced)

Outline Outline

Mathematics is the study of concepts such as quantity, structure, space and change and to use these concepts to model and describe the behaviour of real world complex systems. It has been described as the science of patterns, whether found in numbers, space, science, engineering, computers, imaginary abstractions or elsewhere.

Through abstraction and logical reasoning, mathematics evolved from counting, calculation, measurement and the systemic study of the shapes and motions of physical objects.

This course includes units in advanced calculus and linear algebra that provide foundation knowledge, and units in modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability. Industry-based units and a work experience program will help you to experience real applications.

You'll be able to explore the field through for-credit immersive research experiences, industry placement and/or interdisciplinary team-based projects.

Your capstone experience will enable you to pursue mathematics projects that may be based anywhere from pure research through to translational (entrepreneurial) science.

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.

This major is part of the Bachelor of Advanced Science (Honours) program, designed for high-performing students to pursue their interest in science through a core of research, leadership and entrepreneurship. It provides you with opportunities to source and undertake internal and external internships and immersive work experience, which can be used for course credit. Work-based learning is ensured through the requirement to engage in immersive industry and/or research experience.

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 and the business world through the Statistics Group and the Western Australian Centre of Excellence in Industrial Optimisation. As a result, 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 you to real applications of your mathematical studies, and introducing you to potential employers.

Through embedded research and industry engagement you'll have the opportunity to investigate multiple areas of specialisation and tailor your final-year experience to prepare for the industry of your choice.

What you'll learn

• Demonstrate an advanced knowledge of the nature of science, its methods and processes, and an advanced knowledge of mathematical and statistical principles and concepts in a range of mathematical disciplines; solve problems relevant to science, industry, commerce and government.
• Apply mathematical and statistical methods to critically analyse challenging and multi-faceted problems and to think creatively to generate innovative solutions.
• Access and make judgements on the value of available knowledge using a variety of tools, and incorporate them into the planning, conduct and communication of their own work.
• Communicate approaches, ideas, findings and solutions to mathematical science problems in a variety of modes to informed professional audiences.
• Use established and emerging technologies in the field of mathematical sciences to address complex research questions.
• Demonstrate intellectual independence and engage in self-driven continuous discipline and professional education and training in the mathematical sciences.
• Be aware of the diversity of international perspectives and apply international standards of practice within their profession as a mathematical scientist.
• Work collaboratively and respectfully with colleagues from a range of cultural backgrounds and understand the importance of cultural diversity and how it impacts a mathematical scientist.
• Be able to work ethically and professionally as an independent mathematical scientist and collaboratively within teams either as a professional leader or collaborator.