Master of Applied Data Analytics

at Australian National University

Program Structure:

The Master of Applied Data Analytics requires the completion of 72 units, which must consist of:
 

48 units from completion of the following compulsory courses:

• COMP8410 Data Mining
• COMP8430 Data Wrangling
• SOCR8201 Introduction to Social Science Methods and Types of Data
• SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
• STAT6038 Regression Modelling
• STAT7030 Generalised Linear Models
• STAT7026 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
   

6 units from completion of courses from the following list:

• COMP6730 Programming for Scientists
• COMP7230 Introduction to Programming for Data Scientists
   

 12 units from completion of courses from any of the following lists:
 

Computer Science

• COMP6490 Document Analysis
• COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing
• COMP8600 Statistical Machine Learning
   

Social Science

• 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
   

Statistical Data Analysis

• STAT7016 Introduction to Bayesian Data Analysis
• STAT6039 Principles of Mathematical Statistics
• STAT7040 Statistical Learning
• STAT8002 Applied Time Series Analysis

Admission Requirements

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

A Bachelor degree with Honours or international equivalent with a minimum GPA of 5.0/7.0
 

Or a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, plus at least 3 years of relevant work experience.
 

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.
 

Cognate Disciplines

Actuarial Studies, Anthropology, Computer Science, Criminology, Demography/Population Studies, Engineering, Epidemiology/Public Health, Finance, Information Technology, Maths, Physics, Political Science, Psychology, Sociology, Statistics.

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.
 

Annual indicative fee for international students

AUD$50,760