Statistics is concerned with the process of planning how to collect data, collection of the data and extracting information from data in the presence of uncertainty and variation. The process is guided by the underlying purpose of the investigation and the formulation of hypotheses and models. The major covers the core components of statistical theory and a range of key applications, such as survival analysis and graphical statistical modelling, and provides a solid foundation for a career as statistician.

Employment prospects for statisticians are very bright and varied. Professional accreditation for suitably qualified students of statistics is provided by the Statistical Society of Australia.

## Learning Outcomes

Recognise the importance of proper collection and management of quantitative information to the scientific process, including appreciation of the importance of data accuracy, verifiability and context.

Apply data analytic techniques that are appropriate to inquiry context, including demonstrating appreciation for the underlying assumptions and data requirements for these techniques to be valid.

Communicate the principles and results of data analyses using the language and conventions of the discipline.

Apply a wide range of statistical testing and estimation techniques, including modern and computer based modelling, in appropriate contexts.

Develop the skills necessary to critically engage with and evaluate literature on data analysis.

Explain and convey findings and information from data analysis.

Develop the skills necessary to work independently and collaboratively to collect, process, interpret and represent data and inferential outcomes.

## Other Information

Students undertaking this major are strongly encouraged to seek advice regarding the first year Math requirements. Students wishing to complete only a single MATH course must choose MATH1113 to complete this major.

Students who select MATH1013 will need to choose a second first year MATH course: MATH1014 or MATH1116. This additional first year course will not contribute towards satisfying the requirements of the major but can contribute towards another major, minor or electives.

Back to the top## Requirements

This major requires the completion of 48 units, which must include:

6 units from completion of the following course(s):

STAT1003 - Statistical Techniques

STAT1008 - Quantitative Research Methods

6 units from completion of the following course(s):

MATH1013 - Mathematics and Applications 1

MATH1115 - Advanced Mathematics and Applications 1

MATH1113 - Mathematical Foundations for Actuarial Studies

6 units from completion of the following course(s):

STAT2001 - Introductory Mathematical Statistics

STAT2013 - Introductory Mathematical Statistics for Actuarial Studies

6 units from completion of the following course(s):

STAT2008 - Regression Modelling

STAT2014 - Regression Modelling for Actuarial Studies

A minimum of 24 units from completion of the following course(s):

STAT2005 - Introduction to Stochastic Processes

STAT3004 - Stochastic Modelling

STAT3006 - Advanced Stochastic Processes

STAT3011- Graphical Data Analysis

STAT3012 - Design of Experiments and Surveys

STAT3013 - Statistical Inference

STAT3015 - Generalised Linear Modelling

STAT3016 - Introduction to Bayesian Data Analysis

STAT3017 - Big Data Statistics

STAT3040 - Statistical Learning

STAT3056 - Advanced Mathematical Statistics

STAT3050 - Advanced Statistical Learning