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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.
| Study level | Postgraduate |
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| 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. |
At the completion of this unit, you should be able to:
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.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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PG Online Session 2A 2026
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Online | Online Program |
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