# Statistics

Statistics is a major offered by the School of Mathematics and Statistics. Units of study in this major are available at standard and advanced level.

## About the major

Statistics is pervasive in all areas of the sciences, the social sciences, finance and business, and is the key paradigm used to assess the strength of evidence from all kinds of data. In a statistics major, students learn about theoretical, computational, and applied statistics, and probability theory. As part of the major students will apply the techniques that they learn to a variety of applications. Students learn about quantifying uncertainty, experimental design, probabilistic modelling and the latest techniques in statistical and machine learning. This major is essential training if you wish to become a professional statistician.

The 1000-level units of study cover a range of topics in mathematics and statistics and are offered at several levels. Introductory, Fundamental, Regular, Advanced, and Special Studies, to suit various levels of previous knowledge. 2000-level, 3000-level and Honours (4000-level) units of study are mostly provided within one of the subject areas of applied mathematics, data science, financial mathematics and statistics, pure mathematics and statistics.

Advanced level units have more stringent prerequisites than regular units, and are significantly more demanding. Although the precise requirements vary from unit to unit, it is generally inadvisable for a student who has not achieved a Credit average in 2000-level mathematics to attempt an advanced 3000-level mathematics unit.

Various combinations of 1000-level units of study may be taken, subject to the prerequisites listed. Often specific 1000-level units of study are prerequisites for mathematics and statistics units at the 2000 and 3000-levels. Before deciding on a particular combination of 1000-level units of study, students are advised to check carefully the prerequisites relating to mathematics and statistics for all units of study.

The precise requirements for this major can be found in Table A. Alternatively, consult the school directly.

## Requirements for completion

The Statistics major and minor requirements are listed in the Statistics unit of study table.

## Contact and further information

sydney.edu.au/science/schools/school-of-mathematics-and-statistics

First year enquiries:

Other undergraduate enquiries:

All enquiries: +61 2 9351 5787

**Major coordinator**

Dr Michael Stewart

E

## Learning Outcomes

Students who graduate from Statistics will be able to:

- Exhibit a broad and coherent body of knowledge in fundamental principles of probability theory and statistics, including the principles of decision-making under uncertainty and statistical hypothesis testing.
- Exhibit a deep and comprehensive knowledge of statistical reasoning and inference methods, the framework of statistical hypothesis testing and common statistical procedures.
- Formulate statistical questions in a disciplinary context and identify and apply appropriate techniques and statistical reasoning to prepare and analyse data.
- Analyse data in descriptive, interpretive and exploratory ways using graphical methods and visualisation tools.
- Identify and address gaps in their statistical knowledge and skills by independently sourcing, collating and synthesising appropriate resources that extend their understanding of statistical concepts.
- Communicate statistical concepts, methodology and results to diverse audiences using a variety of models including to facilitate data-driven decision-making.
- Use computer resources and statistical programming languages to address a broad range of statistical questions.
- Construct robust experimental designs using statistical principles.
- Address practical and abstract statistical problems using a range of concepts, techniques and technologies, working professionally, ethically and responsibly and with consideration of cross-cultural perspectives, within collaborative, interdisciplinary teams.