Program Requirements

The Master of Statistics requires the completion of 96 units, which must consist of:

48 units from completion of the following compulsory courses:

STAT6038 Regression Modelling

STAT6039 Principles of Mathematical Statistics

STAT7001 Applied Statistics

STAT7004 Introduction to Stochastic Processes

STAT7026 Graphical Data Analysis

STAT7030 Generalised Linear Models

STAT7040 Statistical Learning

STAT8027 Statistical Inference

A minimum of 24 units from completion of courses from the following list:

STAT7006 Advanced Stochastic Processes

STAT7016 Introduction to Bayesian Data Analysis

STAT7017 Big Data Statistics

STAT7018 Stochastic Modelling

STAT7029 Design of Experiments and Surveys

STAT7042 Survival Models

STAT8002 Applied Time Series Analysis

STAT8003 Biostatistics

STAT8035 Risk Theory

STAT8036 Credibility Theory

STAT8056 Advanced Mathematical Statistics

A maximum of 24 units from completion of further 6000-level, 7000-level and 8000-level courses from the following subject areas:

ACST Actuarial Studies

COMP Computing

EMET Econometrics

FINM Financial Management

MATH Mathematics

STAT Statistics

Admission Requirements

A Bachelor degree or international equivalent with a minimum GPA of 5/7, with at least one course in the field of mathematics that must cover calculus and linear algebra.

Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit.

Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit.

All applicants must meet the University’s English Language Admission Requirements for Students

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply 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.

For further information see the Scholarships website.

Learning Outcomes

Upon successful completion, students will be able to:

1. Demonstrate statistical computing skills for use in quantitative and data-based problem solving.
2. Understand and be able to apply the processes and applications of: multiple linear regression, survey design; mathematical statistics, stochastic modelling, generalised linear modelling techniques; the principles of data representation, summarisation and presentation; multivariate statistical techniques; and, the role and notion of both parametric and non-parametric statistics.
3. Analyse complex problems by running and interpreting time series models involving dynamic volatility and/or trends.
4. Analyse and interpret data in various contexts using appropriate methodology.
5. Work independently and collaboratively to collect, process, interpret and communicate the outcomes of fundamental research questions in applied statistics.

Further Information

For Domestic Students applying through UAC: If you have completed an overseas qualification, please send a scanned copy of your original testamur (graduation certificate) and academic transcript through to info.cbe@anu.edu.au. The scanned documents should be in colour and unaltered in size. Please include your name and UAC number in the email.

Students in the Master of Statistics program have the option of applying to undertake a Statistics Masters thesis as a possible pathway to PhD study. Details regarding the Masters thesis are below:

·              Length: 24 units, to be completed in the final year of the Master of Statistics

·              Eligibility: To be eligible to apply, students must have achieved a GPA of at least 6.5 across prior coursework within the Master of Statistics. Eligibility will also depend on the compulsory courses that students are required to still complete as part of their Masters degree, and specifically whether students have sufficient space in their program.

·              How to apply: Students’ must write a case as to why they want to engage in the course and must have already secured a supervisor

·              Courses the thesis replaces: The courses that the thesis replaces will be determined in consultation with the Statistics Masters convenor and will depend on the background of each student. 

 Students who are accepted into the Masters thesis component should contact Gen Nowak (gen.nowak@anu.edu.au) to confirm their study plan for the program. Please note that undertaking a Masters thesis does not guarantee entry to a PhD.