Data-Driven Decision-Making

Postgraduate

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
COMP 6011
Course ID icon
Course ID
201688
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course level icon
Course level
6
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
Discipline group A
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes

Course overview

This course strengthens the power of data for strategic decision-making by equipping learners with the knowledge to transform raw data into actionable insights using advanced statistical methods and data visualisation tools. Learners will master the skills to critically choose the right statistical models, generate impactful data visualisations, and integrate them into a data-driven decision-making framework for solving complex real-world problems. 

  • Foundations: Data for Strategic Decision-Making
  • Implementation: Organisational Data Flows
  • Application: Data-Driven Intelligence in Action

Course learning outcomes

  • Apply advanced statistical techniques to analyse complex data sets and draw actionable Insights
  • Evaluate and select appropriate statistical models based on data characteristics and application areas
  • Develop interactive data visualisations and dashboards for enhanced decision support
  • Integrate data analysis and visualisation techniques into a data-driven decision-making framework to solve a real-world problem.

Prerequisite(s)

  • Must have completed 1 of COMP5002 Problem Solving and Programming Foundations/STAT5020 Statistical Foundations for Data Science and Artificial Intelligence

Corequisite(s)

N/A

Antirequisite(s)

  • Must not have completed INFS5135, INFS3075 (UniSA)

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

  • Concept Design, Concept Design – 50%
  • Proposal – 50%