C5003 Graduate Diploma of Applied Data Science

This course is structured in four consecutive parts: Part A: Foundation studies, Part B: Core studies, Part C: Specialist studies and Part D: Applied practice

Part A. Foundation studies

These studies will provide a foundation for applied data science.

Part B. Core studies

These studies will provide an orientation and draw on best practices within the broad field of data science practice and research. Your studies will focus on fundamentals and core knowledge.

Part C. Specialist studies

The focus of these studies is specialising in the area of data science.

Part D. Applied practice

The focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development.

Entry points

Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:

• If you are admitted at entry level 1 you complete 48 credit points, comprising Parts A, B, C and D 
• If you are admitted at entry level 2 you complete 24 credit points, comprising Parts C and D and two units that have not been completed in Part B.

This course comprised 48 points. Unit are 6 points unless otherwise stated.

Part A. Foundation studies (18 points)

You must complete:

• ITO4132 Introduction to databases
• ITO4133 Introduction to Python
• MAT9004 Mathematical foundations for data science

Part B. Core studies (18 points)

You must complete:

• ITO5145 Introduction to data science
• ITO5196 Data wrangling
• ITO5197 Statistical data modelling

Part C. Specialist studies (6 points)

You must complete one unit (6 points) from:

• ITO5147 Data exploration and visualisation
• ITO5149 Applied data analysis
• ITO5201 Machine learning
• ITO5202 Data processing for big data
• ITO5212 Data analysis for semi-structured data

Part D. Applied practice (6 points)

You must complete:

• ITO5001 Applied practice 1