Master of Statistical Data Analysis

The Australian National University (ANU)

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00120C

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.

Structure

The Masters of Statistical Data Analysis requires completion of 48 units

Subjects

  • 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
  • STAT6016 Introduction to Bayesian Data Analysis
  • STAT6017 Big Data Statistics
  • STAT6018 Stochastic Processes
  • 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
  • COMP6240 Relational Databases
  • COMP6261 Information Theory
  • COMP6490 Document Analysis
  • COMP6670 Introduction to Machine Learning
  • COMP6710 Structured Programming
  • COMP6730 Programming for Scientists
  • COMP8410 Data Mining
  • COMP8430 Data Wrangling
  • COMP8600 Statistical Machine Learning
  • COMP8880 Computational Methods for Network Science
  • ECON6012 Optimisation for Economics and Financial Economics
  • EMET6001 Applied micro econometrics
  • EMET8005 Econometric Methods and Modelling
  • EMET8008 Advanced Econometrics II
  • EMET6012 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

Standard entry requirements

  • 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.

Study information

CampusFeesMid year intakeAttendance
Canberra International: $53,700 No
  • Full-time : 1 year

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