COURSE CURRICULUM

The Bachelor of Science with a Statistics major is designed for students who want to develop advanced skills in data analysis, statistical modelling, and evidence-based decision-making. The program combines scientific foundations with mathematical and computational techniques, preparing students to interpret complex data and solve real-world problems across a wide range of industries. Students begin with core science courses that develop essential skills in programming, multidisciplinary laboratory practice, mathematics, statistics, and work-integrated learning before specialising in Statistics. The major includes key courses such as Mathematics for Engineering, Science and Technology 2, Fundamentals of Statistics, Applied Statistics and Research Methods, Generalised Linear Models, Time Series Forecasting, Systems Thinking for an Integrated Workforce, and Deterministic and Stochastic Optimisation. Students can further expand their expertise through courses including Predictive Analytics and Statistical Inference, gaining knowledge in data interpretation, probability, statistical methods, forecasting, and optimisation techniques. Through theoretical learning and practical applications, students develop strong analytical, computational, and problem-solving abilities that are highly valued in modern data-driven environments. Graduates are prepared for careers in data science, business analytics, research, finance, government, healthcare, technology, and consulting. The program also provides a strong foundation for postgraduate study and advanced research in statistics and related quantitative disciplines.