single degree

Master of Statistical Data Analysis

A single one year graduate award offered by the ANU College of Business and Economics

  • Length 1 year full-time
  • Minimum 48 Units
  • Academic plan MSDA
  • Post Nominal MStatDatAn
  • CRICOS code 111568C
  • Mode of delivery
    • In Person
  • Field of Education
    • Statistics
  • STEM Program
  • Academic contact
  • Length 1 year full-time
  • Minimum 48 Units
  • Academic plan MSDA
  • Post Nominal MStatDatAn
  • CRICOS code 111568C
  • Mode of delivery
    • In Person
  • Field of Education
    • Statistics
  • STEM Program
  • Academic contact

Program Requirements

The Masters of Statistical Data Analysis requires completion of 48 units which must consist of:

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

STAT7004 Introduction to Stochastic Processes

STAT7038 Regression Modelling

STAT7039 Principles of Mathematical Statistics

STAT8130 Generalised Linear Modelling

STAT8140 Statistical Learning

STAT8002 Applied Time Series Analysis

A maximum of 24 units from the following list:

STAT6016 Introduction to Bayesian Data Analysis

STAT6017 Big Data Statistics

STAT6018 Stochastic Modelling

STAT6026 Graphical Data Analysis

STAT6027 Statistical Inference

STAT6029 Design of Experiments and Surveys

STAT6042 Survival Models

STAT6050 Advanced Statistical Learning

STAT6056 Advanced Mathematical Statistics

STAT6060 Advanced Stochastic Processes

A maximum of 12 units from the following list:

COMP6240 Relational Databases

COMP6261 Information Theory

COMP6420 Introduction to Data Management, Analysis and Security

COMP6490 Document Analysis

COMP6670 Introduction to Machine Learning

COMP6710 Structured Programming

COMP6730 Programming for Scientists

COMP8410 Data Mining

COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing

COMP8430 Data Wrangling

COMP8600 Statistical Machine Learning

COMP8880 Computational Methods for Network Science

ECON8013 Optimisation for Economics and Financial Economics

EMET8001 Applied micro-econometrics

EMET8005 Econometric Methods and Modelling

EMET8008 Advanced Econometrics II

EMET8012 Business and Economic Forecasting

EMET8014 Advanced Econometrics I

MATH6005 Discrete Mathematical Models

MATH6100 Bioinformatics and Biological Modelling

MATH6102 Environmental Modelling and Integrated Assessment

MATH6109 Probability Modelling with Applications

MATH6110 Analysis 1: Metric spaces and Applications

MATH6111 Scientific Computing

MATH6112 Matrix Computations

MATH6115 Stochastic Analysis with Financial Applications

MATH6119 Numerical Optimisation

MATH6208 Advanced Mathematical Bioinformatics

MATH6212 Analysis 2: Lebesgue Integration and Hilbert Spaces

POPH8100 Fundamentals of Epidemiology

POPH8101 Biostatistics in Public Health

POPH8313 Analysis of Public Health Data

STAT6043 Life Contingencies

STAT6046 Financial Mathematics

STAT6057 Risk Modelling 1

STAT6058 Risk Modelling 2

Admission Requirements

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry. 

Applicants must present a Bachelor degree or international equivalent in a cognate discipline with a minimum GPA of 5.0/7.0, with at least one course in the field of mathematics that must cover calculus and linear algebra.

Applicants with an ANU Graduate Certificate (with four Statistics/Mathematics courses) with a GPA of 4.0/7.0, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra.

In line with the university's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors. However, applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. 

If required, ranking may further be confirmed on the basis of: 

• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or

• demonstrating higher-level English language proficiency. 

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

Further information: English Language Requirements for Admission 

Diversity factors

As Australia’s national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe.

Assessment of qualifications

Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.

 Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework:

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities:

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

Credit Granted

Applicants may be eligible for up to 24 units (one semester) of credit for courses completed towards an incomplete AQF Level 9 or above qualification.

Cognate Disciplines

Accounting, Actuarial Studies, Business, Commerce, Data Science, Economics, Finance, Health Sciences, Information Technology, Management, Marketing, Mathematics, Medicine, Public Administration, Science, Statistics.

Domestic Tuition Fees (DTF)

For more information see:

Annual indicative fee for international students

For further information on International Tuition Fees see:

Fee Information

All students are required to pay the Services and amenities fee (SA Fee)

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

For further information on Fees and Payment please see:


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.

In disciplines as diverse as biology, economics, actuarial studies, psychology, physics, archaeology, medicine and information technology, there is always a need for qualified statisticians to make proper sense of the data. The Master of Statistical Data Analysis will provide you with a rigorous training in core statistical application and theory. This will set you up as a professional statistician whose services will be highly sought-after. With an ANU Master of Statistical Data Analysis you will excel in your career literally anywhere in the world.

Career Options

ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.

We have graduated remarkable people from every part of our continent, our region and all walks of life.

This program is available for applications to commence from First Semester, 2024

Learning Outcomes

  1. Apply statistical computing skills for use in quantitative and data-based problem solving.
  2. Understand and utilise the processes and applications of mathematical statistics, multiple linear regression and the principles of data representation, summarisation and presentation.
  3. Analyse and interpret complex data in various contexts using appropriate methodology.
  4. Demonstrate in detail the ability 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 The scanned documents should be in colour and unaltered in size. Please include your name and UAC number in the email.

This program does not include the option of undertaking a thesis and is not intended to be a pathway to possible PhD study.

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