ODAT5888: Data Sleuthing

2026 unit information

Impactful data analysis requires more than just technical skills - it demands critical thinking, the ability to navigate complex, real-world problems, and strong communication skills. In this unit you will develop these capabilities by engaging in a range of data-driven problems. You will learn to assess the scope of a project, reformulate it into an analytical framework, and identify and apply appropriate statistical methods in different contexts. The unit emphasises collaboration, with students working in teams to develop solutions to authentic data problems. Clear and effective communication is also a key focus, ensuring that insights are conveyed effectively to diverse audiences. By the end of the unit, you will be equipped to investigate and solve data problems with confidence across multiple contexts.

Unit details and rules

Managing faculty or University school:

Science

Details

Study level	Postgraduate
Academic unit	Mathematics and Statistics Academic Operations
Credit points	6

Enrolment rules

Prerequisites: ?	30 credit points of 5000-level units
Corequisites: ?	None
Prohibitions: ?	None
Assumed knowledge: ?	Content from the core units for the Master ofData Analytics

Learning outcomes

The learning outcomes for this unit will be available two weeks before the first day of teaching.

Unit availability

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There are no availabilities for this year.

Session	MoA ?	Location	Outline ?
PG Online Session 2B 2026	Online	Online Program	Outline unavailable

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Modes of attendance (MoA)

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