Skip to main content
Unit of study_

Data Analytics in the Social Sciences - SSPS4102

Year - 2020

Our lives are increasingly shaped by data, not only from official government agencies but from diverse sources in our social world. As the sources, form and content of data diversify so must the social science techniques for analysing and using that data. This unit of study focuses on the world of big data. It equips students with an understanding of how the emergence of big data has expanded the power and scope of the social sciences and of how to make use of big data for social science purposes. It introduces some key techniques for analysing, presenting and communicating big data, including data scraping, record linkage, data storage and data visualization.

Classes
1x3hr workshop/week

Assessment
1x1000wd Short essay (20%), 1x1500wd Data visualization and communication exercise (40%), 1x2000wd Big data analysis exercise (40%)

Assumed knowledge
36 credits points towards a major in a relevant subject area in the social sciences or humanities

Pre-requisites

ANTH3998 or ANTH3999 or CRIM3998 or CRIM3999 or ECOP3998 or ECOP3999 or GOVT3898 or GOVT3900 or SCLG3998 or SCLG3999 or SLSS3998 or SLSS3999

Details

Faculty: Arts and Social Sciences

Semester 1

24 Feb 2020

Department/School: Social and Political Sciences
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2020
Unit of study level: Honours
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: No
Faculty/department permission required? No
Location
Camperdown
Courses that offer this unit

Non-award/non-degree study If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student. Cross-institutional study If you are from another Australian tertiary institution you may be permitted to undertake cross-institutional study in one or more units of study at the University of Sydney.

To help you understand common terms that we use at the University, we offer an online glossary.