Statistics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 20.6 k / Year(s) Foreign:$ 20.6 k / Year(s) Deadline: Dec 12, 2025
59 place StudyQA ranking:5668 Duration:3 years

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Do you want to work on tangible problems such as investigating the economy, monitoring our environment, understanding disease or even improving the next generation of Xbox? Then become an expert in the most important skill for virtually all fields of study - statistics.ANU Bachelor of Statistics graduates use their rigorous training in core statistical application and theory to deliver crucial insight.You will be a desired professional in diverse areas including biology, economics, actuarial studies, psychology, physics, archaeology, medicine and information technology. There is always a need for a qualified statistician to make sense of the data.Google's Chief Economist agrees that “the sexy job in the next ten years will be statisticians.”

Employment Opportunities
The Bachelor of Statistics is designed to produce graduates who are able to deliver crucial insight within an increasingly information driven business environment.  Examples of employment opportunities include:

  • Applied research, for example market research
  • Academic research, particularly social sciences
  • The Government sector employs statisticians to assist with policy/program development and evaluation
  • Business analyst within finance and banking sector

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.

The Bachelor of Statistics requires completion of 144 units, of which a maximum of 60 units may come from completion of 1000-level courses

The 144 units must include:

  • 66 units from completion of the following compulsory courses

COMP1100 Introduction to Programming and Algorithms

MATH1115 Mathematics and Applications 1 Honours

MATH1116 Mathematics and Applications 2 Honours

MATH3511 Scientific Computing

STAT2001 Introductory Mathematical Statistics

STAT2008 Regression Modelling

STAT3004 Stochastic Modelling

STAT3011 Graphical Data Analysis

STAT3012 Design of Experiments and Surveys

STAT3013 Statistical Inference

STAT3015 Generalised Linear Modelling

  • 6 units from completion of a core course from the following list:

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

  • 24 units from the completion of a List from List 3 of the ANU College of Business and Economics
  • 48 units from completion of elective courses offered by ANU

 

Admission to all programs is on a competitive basis. Admission to undergraduate degrees is based on meeting the ATAR requirement or an equivalent rank derived from the following qualifications:

• An Australian year 12 qualification or international equivalent; OR
• A completed Associate Diploma, Associate Degree, AQF Diploma, Diploma, AQF Advanced Diploma or Graduate Certificate; OR
• At least one standard full-time year (1.0 FTE) in a single program of degree level study at an Australian higher education institution; OR
• An approved tertiary preparation course unless subsequent study is undertaken.

Requirements for domestic applicants:

ATAR:86

QLD Band:8

International Baccalaureate:32

For international students:

Refer to the table to see if you meet the requirements:

http://www.anu.edu.au/files/resource/IntAdmissTabl2014e.pdf 

English Language Requirements:

ANU recognizes a number of English language tests as meeting the University’s English language requirements. The acceptable tests are IELTS (an overall score of 6.5 with at least 6 in each component of the test), TOEFL-paper based test (a score of 570), TOEFL-internet based test (a score of 80, with a minimum of 20 in Reading and Writing and 18 in Speaking and Listening), Cambridge CAE Advanced (80, grade A), PTE Academic (overall 64, minimum 55 in each section.) 


Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

  • ✔️ Flexible study schedule
  • ✔️ Experienced teachers
  • ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

ANU offers a wide range of scholarships to current and future students to assist with the cost of their studies. The University is committed to enabling all students, regardless of their background, to achieve their best at ANU and realise their potential. 

Eligibility for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

Students should take MATH1115 Mathematics and Applications 1 Honours rather than MATH1013 Mathematics and Applications 1 and MATH1116 Mathematics and Applications 2 Honours rather than MATH1014 Mathematics and Applications 2 to ensure they meet the prerequisite requirements for the compulsory course MATH3511 Scientific Computing.

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