Bachelor of Statistics
| Offered By | ANU College of Business and Economics |
|---|---|
| Duration | 3 years full-time |
| Minimum | 144 units |
| Academic Contact | enquiries.fas@anu.edu.au |
| Academic Plan | 3407XBSTAT |
| CRICOS Code | 061240A |
| UAC Code | 134200(Bachelor of Statistics) |
| Areas of Interest | Mathematics and Statistics |
The Bachelor of Statistics offers a rigorous program of training in the theory and application of statistics. The program involves a core mainstream statistical application and theory, supplemented by studies in specialist streams. Students may choose to specialise in any of a number of areas including: Business Statistics, Econometrics, Financial Statistics, Statistical Methodology, Applied Probability and Psychological or Sociological Research Methods.
Statistics is concerned with the study of quantitative data analysis, including estimation, prediction and hypothesis testing. It has applications in many fields including the physical, biological and social sciences as well as business, finance, engineering and information technology. Students who complete the Bachelor of Statistics are eligible for Graduate Statistician (GStat) status from the Statistical Society of Australia, Inc.
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.
- Understand, explain and contextualise the importance of quantitative analysis in at least one major area of application.
- Understand the theoretical and mathematical underpinnings of statistical theory and practice.
- 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.
Admission Requirements
Admission to all programs is on a competitive basis, taking into account all relevant academic qualifications. If you hold more than one qualification, admission will be based on your overall record. Tertiary qualifications are generally weighted more heavily than secondary. If you have completed an approved tertiary preparation course or alternative entry scheme, you will be assessed on the results of that scheme alone, unless you have undertaken subsequent study.
Click HERE for further information about domestic admission pathways.
The table below is a guide to the entry level required for domestic applicants. Exact entry level will be set at time of offer.
| Entry Requirement | Entry Level |
|---|---|
| ATAR | 86 |
| QLD Band | 8 |
| International Baccalaureate | 31 |
From 2010, the UAI/ENTER/TER will be referred to as ATAR (Australian Tertiary Admission Rank) for admission in 2010. See http://www.uac.edu.au/undergraduate/atar/ for further information.
Queensland Band equivalents are a guide only - selection is made on a UAI equivalent that is not available to students.
The entry requirements above are for domestic applicants only.
International applicants may view further information on admissions requirements at Entry Requirements for International Undergraduate Applicants
The University reserves the right to alter or discontinue its programs as required.
The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.
