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.
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.