Overview
Overview
This course will teach you how to harness the power of mathematics for real-world applications across engineering, computer science, health and other diverse fields.
You will develop a range of mathematical and computational skills, such as advanced calculus and linear algebra. You’ll learn modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability
This is an Advanced Science honours course, designed for high-performing students to both deepen and broaden their mathematics experience with research, leadership and entrepreneurship. It provides you with opportunities to undertake and source for-credit internships and immersive work experiences.
You can also undertake a student-led applied project, ranging from original research through to translational (entrepreneurial) science. The project will involve collaboration with industry partners and/or research leaders, to enhance your understanding of applied mathematics.
In addition, you can tailor your degree through electives, to deepen or broaden your expertise.
Upon completing your studies, you’ll have the expertise to improve efficiencies in organisations involved in data analysis, industrial engineering, IT, statistical analysis and supply-chain management; and in other industries where mathematical applications are crucial.
This course also emphasises transferrable skills – including innovative and analytical thinking, problem-solving and effective communication – that will empower you to take on leadership roles in your career.
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 jobs can the Industrial and Applied Mathematics course lead to?
Careers
- Statistical analyst
- Logistician
- Supply chain manager
- Data analyst
- Industrial engineer
- Information technologist
Industries
- Logistics and supply-chain networks
- Banking and finace
- Transport
- Engineering
- Health
- Insurance
- Agriculture
- Government
- Risk management
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.
