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Unit of study_
SSPS4102: Data Analytics in the Social Sciences
2025 unit information
This unit of study introduces social science students to statistical concepts and quantitative methods for different types of data. It equips students with practical programming skills for social science research. It introduces some key techniques for presenting, communicating, and analysing data, including data visualisation and pattern discovery.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Undergraduate |
|---|---|
| Academic unit | Social and Political Sciences |
| Credit points | 6 |
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Prerequisites:
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144 credit points and (FASS3999 or FASS3333 or equivalent) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Successful completion of a Table A major from the Faculty of Arts and Social Sciences |
At the completion of this unit, you should be able to:
- LO1. Find, clean, and analyse data from diverse sources.
- LO2. Produce meaningful data visualisations.
- LO3. Demonstrate understanding of how data analysis enables social scientists to address social science problems.
- LO4. Demonstrate understanding of how new data sources have expanded the power of social sciences.
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.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
