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Unit of study_
ODAT5031: Modelling Complex Data Structures
2026 unit information
In the era of big data, the increasingly vast amount of collected data enables many underlying complex structures among observations and variables to be discovered. Examples of such complex structures include sparsity, network interdependence, and heterogeneity. Understanding these structures provides valuable insights into both scientific phenomena and social behaviours. This unit will introduce mathematical and statistical techniques to model these complex structures. A particular focus will be developing the computational skills to analyse huge datasets, interpret and communicate the results of these analyses.
Unit details and rules
Managing faculty or University school:
Science
| Study level | Postgraduate |
|---|---|
| Academic unit | Mathematics and Statistics Academic Operations |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Strong statistical knowledge and coding experience. E.g. ODAT5011, ODAT5021, and OSTA5003. |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
There are no availabilities for this year.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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PG Online Session 2A 2026
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Online | Online Program |
Outline unavailable
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There are no availabilities for previous years.
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Modes of attendance (MoA)
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