These are some recommended study patterns to use as an example for your studies. Students can alter these study plans providing they meet the requirements of the program and requisites of courses in your study plan.

Masters of Applied Data Analytics

The plans below are for students commencing their program in Semester 1.

Computing/Statistics focus

STAT6039 is an allowed alternative to STAT6030 (providing approval has been granted by your program convenor) and is required pre-requisite course for the more quantitative computer science and statistics electives.

Students planning to study STAT6039 should email their program convenor at MADAN.convener.comp@anu.edu.au to apply for approval to swap STAT6030 with STAT6039 in the compulsory studes list.

Year 1 Semester 1
COMP6730 Programming for Scientists
COMP7240 Introduction to Database Concepts (Autumn)
STAT7055 Introductory Statistics for Business and Finance
SOCR8201 Introduction to Social Science Methods and Types of Data
Semester 2
COMP8410 Data Mining (Winter)
COMP8430 Data Wrangling
STAT6026 Graphical Data Analysis
STAT6039 Principles of Mathematical Statistics
Year 2 Semester 1
STAT6038 Regression Modelling
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy (Autumn)
Elective: e.g. COMP8600 Statistical Machine Learning
Elective: e.g. STAT8002 Applied Time Series Analysis

Social Science focus

Year 1 Semester 1
COMP6730 Programming for Scientists
COMP7240 Introduction to Database Concepts (Autumn)
STAT7055 Introductory Statistics for Business and Finance
SOCR8201 Introduction to Social Science Methods and Types of Data
Semester 2
COMP8430 Data Wrangling
STAT6038 Regression Modelling
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
Elective: e.g. SOCR8006 Online Research Methods
Year 2 Semester 1
STAT6030 Generalised Linear Modelling (Summer)
COMP8410 Data Mining
STAT6026 Graphical Data Analysis (Autumn)
Elective: COMP6990 Document Analysis (Late Autumn) or
STAT6039 Principles of Mathematical Statistics)

Graduate Diploma of Applied Data Analytics

Alternative course: STAT6039 Principles of Mathematical Statistics

There is an alternative course available, STAT6039, which is not on the DADAN Study Requirements. STAT6039 is an allowed alternative to STAT6030 (providing approval has been granted by your program convenor) and is recommended for students going on to MADAN, especially those with strong maths skills, as it is required for some of the MADAN electives in computer science and statistics.

Students planning to study STAT6039 should email MADAN.convener.comp@anu.edu.au to apply for approval to swap STAT6030 with STAT6039 from their program convenor

Year 1 Semester 1
COMP6730 Programming for Scientists
COMP7240 Introduction to Database Concepts (Autumn)
STAT7055 Introductory Statistics for Business and Finance
SOCR8201 Introduction to Social Science Methods and Types of Data
Semester 2
COMP8410 Data Mining (Winter)
STAT6038 Regression Modelling
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
STAT6039 Principles of Mathematical Statistics

Graduate Certificate of Applied Data Analytics

The plans below are for students commencing their program in:

Students can study either full time using a mix of semester and intensive classes, or part time with either intensive and/or semester classes.

We recommend that students do NOT take any other course at the same time as our python course COMP6730/COMP7230, if they are new to programming or find it difficult. COMP6730/COMP7230 will provide a strong foundation that requires some students to devote more hours than others.

CADAN - Semester 1 Start

As many students study part time while working, below is a study plan for part time study with intensive classes starting in Semester 1.

The CADAN program is easist if students take 1.25 years to complete the program. Alternatively students can change their program in various ways to complete within 1 year. For example, studying SOCR8201 in Semester 1 or SOCR8202 in Semester 2.

Year 1 Autumn
COMP7240 Introduction to Database Concepts
Winter
COMP7230 Introduction to Programming for Data Scientists
Spring
STAT7055 Introductory Statistics for Business and Finance
Year 2 Autumn
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy

CADAN - Semester 2 Start

As many students study part time while working, below is a study plan for part time study with intensive classes starting in Semester 2.

For students starting in Semester 2, the CADAN program is easist for part time students to combine with other commitments if they take 1.5 years to complete the program. Alternatively students can change their program in various ways to complete within 1 year. For example, studying SOCR8201 in Semester 1 which will not clash with COMP7240.

Year 1 Winter
COMP7230 Introduction to Programming for Data Scientists
Spring
STAT7055 Introductory Statistics for Business and Finance
Year 2 Autumn
COMP7240 Introduction to Database Concepts
Spring
SOCR8201 Introduction to Social Science Methods and Types of Data

You are on Aboriginal land.

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

bars search times arrow-up