DATSC7003 Experiment Design and Visualisation
EXPERIMENT DESIGN AND VISUALIZATION will focus on the application of data science techniques/tools to various domains (real-world data). It uses analytical and data science methods to solve real-world application questions and to implement the solution using tools. We will work through case studies in a variety of contexts including, e.g., business, science, healthcare, industry, education and society to investigate how knowledge and value are extracted from data. Through examining the wide-ranging applications of data science, we will further understand the underlying learning algorithms, models, codes and data. Topics will include experimental and project design, business predictive analytics, data processing, model training and evaluation, algorithm and code analysis, application cases analytics, software tools, visualisation and project management.
Commonwealth supported place (CSP)
A CSP is subsidised by the Australian Government and students pay a contribution amount. Each unit is classified into a band, depending on the study area of the unit (this discipline may be different from the study area of your course).
2025 contribution amount* $1,164
2025 grandfathered contribution amount* $1,164
Grandfathered contribution amount - if you are a continuing student, who commenced your course before 1 January 2021, you will continue paying the same amount as you would have, had legislative reforms not been implemented, for any units that would otherwise have an increased student contribution amount.
* For Clinical Psychology & Professional Pathways bands the unit fee amount is determined by accredited courses. Students in Postgraduate Clinical Psychology, Professional Pathway Psychology or Professional Pathway Social Work accredited courses should refer to the information below.
