The Financial Mathematics (BAdvSci) (Honours) major provides a flexible and personalised approach to studying Financial Mathematics with students able to explore the field through for-credit immersive research experiences, industry placement and/or interdisciplinary team-based projects.

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

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 systematic study of the shapes and motions of physical objects. Today, mathematics is used in most fields, including technology, natural science, engineering, medicine, finance and the social sciences, such as sociology and psychology.

This course will provide you with a broad range of analytical and mathematical skills, with particular relevance to statistical modelling and operations research in the financial context.

It offers a flexible and personalised approach to studying financial mathematics. You'll be able to explore the field through for-credit immersive research experiences, industry placement and/or interdisciplinary team-based projects.

You'll receive a strong grounding in corporate finance, financial institution, financial markets and various branches of the financial services industry, enhancing your employment prospects in the technological, industrial and commercial sectors. You may select from units in accounting, economics and business.

Work-based learning in this course is ensured through the requirement to engage in immersive industry and/or research experience. In your capstone experience you'll have the opportunity to pursue mathematics projects that may be based anywhere from pure research through to translational (entrepreneurial) science.