Master of Applied Data Analytics

The Australian National University (ANU)

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

The Master of Applied Data Analytics is a 1.5 year full time (or equivalent part time) degree that provides students with:; Exposure to best practice in data analytics.; Cutting edge courses in areas of relevance to data analytics practitioners.; An opportunity to deepen knowledge in one of the three areas of computation, statistics, or social science.; Professional development for practicing data analytics professionals.; The opportunity to undertake research of professional relevance.

Structure

The Master of Applied Data Analytics requires the completion of 72 units

Subjects

  • COMP8410 Data Mining or COMP8910 Data Mining (Intensive)
  • COMP8430 Data Wrangling or COMP8930 Data Wrangling (intensive)
  • SOCR8201 Introduction to Social Science Methods and Types of Data
  • SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
  • STAT6038 Regression Modelling
  • STAT6030 Generalised Linear Models
  • STAT6026 Graphical Data Analysis
  • STAT7055 Introductory Statistics for Business and Finance
  • 6 units from completion of courses from the following list:
  • COMP6240 Relational Databases
  • COMP7240 Introduction to Database Concepts (intensive)
  • 6 units from completion of courses from the following list:
  • COMP6730 Programming for Scientists
  • COMP7230 Introduction to Programming for Data Scientists (intensive)
  • COMP8600 Statistical Machine Learning
  • COMP8880 Computational Methods for Network Science
  • COMP6490 Document Analysis or COMP6990 Document Analysis (intensive)
  • COMP8420 Neural Networks, Deep Learning and Bio inspired Computing or COMP8920 Neural Networks, Deep Learning and Bio inspired Computing (intensive)
  • SOCR8082 Social Research Practice
  • SOCR8006 Online Research Methods
  • SOCR8203 Advanced Techniques in the Creation of Social Science Data
  • SOCR8204 Advanced Social Science Approaches to Inform Policy Development and Service Delivery
  • STAT6016 Introduction to Bayesian Data Analysis
  • STAT6039 Principles of Mathematical Statistics
  • STAT6040 Statistical Learning
  • STAT8002 Applied Time Series Analysis

Standard entry requirements

  • Applicants must present one of the following:
  • A Bachelor degree with Honours or international equivalent with a minimum GPA of 5.0/7.0
  • A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least 3 years of relevant work experience

Study information

CampusFeesMid year intakeAttendance
Canberra International: $80,550 No
  • Full-time : 1.5 years

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