Take your academic abilities and analytical prowess to the next level in your chosen field of commerce, while developing interdisciplinary knowledge and key practical skills in your preferred scientific passion. This dual program combines thorough understanding in business and commerce with comprehensive knowledge of scientific principles and practices. During the commerce component, you'll build a solid foundation of business skills you can apply to the many challenges of the contemporary business environment. You'll develop your business acumen, financial literacy and data analytical skills while studying majors including accounting, business information systems, business analytics and finance. At graduation, you'll be prepared for many career options in fields like accounting, financial management, banking and information systems. Your science study offers one of the broadest selections of disciplines in Australia, enabling you to develop your interdisciplinary scientific knowledge and practical skills, while pursuing studies that suit your interests and ambitions. You'll also have the chance to gain relevant, real-world experience through employability and work-integrated learning, graduating with highly developed knowledge in your specialist area, superior technical abilities, and advanced independent thinking and communication skills.<br><br>Statistics is an essential part of science, providing the mathematical language and techniques necessary for understanding and dealing with chance and uncertainty in nature. Statistics involves the design, collection, analysis and interpretation of numerical data, with the aim of extracting patterns and other useful information. Examples include the analysis of DNA and protein sequences, the construction of evolutionary trees from genetic data, the improvement of medical treatments via experimental designs, and the assessment of drought conditions through meteorological data. A main feature of statistics is the development and use of statistical and probabilistic models for random phenomena, which can be analysed and used to make principled predictions and decisions. Examples of such models can be found in biology, finance, physics, medicine, telecommunications, and reliability to name but a few.