As the world becomes increasingly dependent on analysing and interpreting data, the demand for highly trained statisticians continues to grow. Those with expert knowledge and skills in applied statistics will be able to advance their career in this increasingly important field, particularly in organisations such as research institutes, insurance companies, financial institutions, medical institutions, government departments and industries.

This degree concentrates on specialised areas of study, such as biostatistics, data mining, epidemiological methods, generalised linear models, marketing research, time series and stochastic finance. It has a strong focus on the application of contemporary statistical methods and the use of the latest computational techniques. The development of relevant computing skills also forms an integral part of this degree.

Key Features

• You’ll gain a deep knowledge of statistics with applications for both the public and private sector.
• You’ll learn how to apply contemporary statistical methods, as well as about the use of the latest computational techniques: both skills are highly valued by employers.
• You’ll have the opportunity to complete this degree in one year, meaning you’ll be able to put your skills to use in industry or research faster.
• This degree can be undertaken on campus, externally or as a combination of the two modes.
• Our statistics academics are some of the best in the world, collaborating with their counterparts nationally and internationally at institutions such as University College London, Harvard University and the Chinese University of Hong Kong. 
• In the 2018 Excellence in Research for Australia evaluation, our research in pure mathematics received a rating of 5 out of 5 – outstanding performance well above world standard, while our research in mathematical sciences received a rating of 4 out of 5 – performance above world standard. Such results mean you’ll study at an institution that has experts at the forefront of research and teaching.

• Business analyst
• Data scientist
• Finance analyst
• Marketing analyst
• Quality analyst
• Quantitative analyst
• Risk analyst
• Senior statistician
• Statistical modeller