University of Technology Sydney

57193 Data and Computational Journalism

Requisite(s): 57083 Advanced Journalism
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.


This subject prepares students to practice and engage with the reporting, analytical and academic challenges and opportunities presented by data and computational journalism. The subject introduces students to basic tools and techniques for data-driven reporting, enabling them to identify stories in datasets and use data to support their reporting. Students learn basic concepts of quantitative and statistical analysis and social science methodology, enabling them to critically assess datasets and the uses to which they are put. They practise techniques for collecting, verifying, cleaning and analysing data, with the aim of producing journalistic work incorporating information visualisations, and learn how to embed these data visualisations into online platforms. They engage with the emerging legal, ethical and philosophical debates surrounding 'big data', the open data movement and the public right to know.

Typical availability

Autumn session, City campus

The subject is usually offered in these sessions. To confirm availability check the UTS Timetable Planner.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.