Statistics are used in all areas of the sciences and social sciences, and underlie the making of scientific inferences under uncertainty. In a statistics major, you will look at the areas of probability and theoretical and applied statistics, and the application of these methods in a number of areas of science. You will also learn about the design of experiments and sample surveys, and all problems of data analysis. The major units of study are essential training if you wish to become a professional statistician, tertiary teacher or researcher, and there are also units of study which provide a basic knowledge of statistical methods and techniques for students specialising in other fields.
For more information on the program structure and content, view the Science Undergraduate Handbook.
You will take at least 12 credit points of junior mathematics units to begin preparing for a statistics major.
You will take 12 credit points of intermediate statistics.
To complete your statistics major, you are required to take 24 credit points from senior statistics units of study.
Applied Linear Models
Stochastic Processes and Time Series
Probability and Statistical Models
Further study for major
For eligible students, the School of Mathematics and Statistics offers an honours program in statistics, and research programs leading to the degrees of PhD and MSc.
If you do well enough in your final year of undergraduate study, you may be eligible to complete honours in statistics. In the honours year, you combine coursework with an individual research project on an interesting and challenging topic. You will work closely with a member of staff who is an expert in your chosen area of study, and they will be your project supervisor and mentor.
Depending on how you perform in your honours year, you may wish to consider furthering your research by undertaking a PhD in mathematical statistics. Active research areas range from theoretical to applied statistics with major themes in asymptotic methods, statistical bioinformatics, extreme value theory, stochastic processes, and applied probability.
To commence study in the year
The course information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.To help you understand common terms that we use at the University, we offer an online glossary.