Predictive and Visual Analytics (UoA)

Postgraduate | 2026

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area/catalogue icon
Area/Catalogue
BAFI 5027
Course ID icon
Course ID
205338
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
Study abroad and student exchange icon
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.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course allows students to develop hands-on experience in constructing prediction models to assist business decision-making. Both traditional econometric models and emerging AI methods will be utilized. The course will also focus on representing data that appeals to the human visual-perceptual system. This includes utilising visual analytics tools to explore and analyse complex data sets using multivariate, text-based, geospatial, network, and graph-based data.

Course learning outcomes

  • Use prediction models to solve forecasting queries.
  • Use visual methods to present complex data relationships.
  • Utilise state-of-the-art statistical packages for managing and presenting data.
  • Critically benchmark and compare different prediction models.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A