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Overview

The major in Statistics has been designed to ensure that graduates are well trained in three key areas: probability and stochastic processes, statistical inference and modelling, and modern statistical computing methods. Third year electives allow students to further develop their statistical capabilities according to their own interests. Computing has become … For more content click the Read More button below.

Learning Outcomes

1.
Demonstrate broad knowledge and skills in fundamental areas of statistics such as probability and stochastic processes, inference, modelling and statistical computing.
2.
Demonstrate advanced knowledge of statistical reasoning and hypothesis testing.
3.
Communicate statistical information, methods, results and insights to diverse audiences, using appropriate graphical or visualisation approaches.
4.
Analyse complex problems and select appropriate statistical tools for developing solutions.
5.
Use computer packages to perform computational tasks in statistical analyses.

Available in Program(s)
Single degree program(s) in which this specialisation is available:

Bachelor of Advanced Science (Honours) - BAdvSci(Hons)3962 - Advanced Science (Honours)

Specialisation Structure

Students must complete 66 UOC.

Level 1 Core Courses12 Units of Credit:

Recommended Elective

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Additional Information

Honours

For information regarding Honours in Statistics, please see the Statistics Honours stream, and consult with staff from the School of Mathematics and Statistics.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)