Mathematical Methods Units 1–4 provide for the study of simple elementary functions, transformations and combinations of these functions, algebra, calculus, probability and statistics, and their applications in a variety of practical and theoretical contexts. They also provide background for further study in, for example, science, technology, engineering and mathematics (STEM), humanities, economics and medicine.
This study enables students to:
develop mathematical concepts, key knowledge and key skills
apply mathematics to analyse, investigate and model a variety of contexts and solve practical and theoretical problems in situations that range from well-defined and familiar to open-ended and unfamiliar
apply computational thinking and algorithms, and use technology effectively as a tool for working mathematically.
Mathematical Methods provides a strong foundation for careers and further study in STEM-related fields where advanced mathematical understanding is essential. This includes engineering, computer science, data science, physics, and information technology, where calculus, algebra, and modelling are widely used. It is also highly relevant to health and medical pathways such as medicine, pharmacy, and biomedical science, where quantitative reasoning and data analysis are important.
Beyond STEM, Methods supports pathways in economics, finance, actuarial studies, and business analytics, where mathematical modelling and statistical analysis are key. It is also useful for architecture, aviation, and research-based careers that require strong problem-solving and analytical thinking. Overall, Mathematical Methods is a highly versatile subject that prepares students for a wide range of competitive university courses and careers that rely on advanced quantitative skills.
you enjoy working with abstract mathematical ideas such as functions, algebra, and calculus
you are interested in understanding how mathematical models describe real-world situations
you like solving challenging problems that require logical reasoning and persistence
you are planning to study subjects that rely heavily on mathematics, such as physics or engineering
you want to develop strong analytical and problem-solving skills for university-level study
you are comfortable working with probability and statistics to analyse uncertainty and data
you are interested in exploring how different functions behave and change over time
you want a strong mathematical foundation for a wide range of future STEM and non-STEM pathways