Data Journalism (JOUR3000)
Information valid for Semester 1, 2019
Course level
Undergraduate
Faculty
Humanities and Social Sciences
School
Communication & Arts School
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
1 Lecture hour
2 Tutorial hours
Incompatible
JOUR3290
Prerequisite
COMU1130.
Prerequisites are waived for students who commenced prior to 2017.
Recommended prerequisite
JOUR1710
Restricted
Restricted to students in the Bachelor of Journalism
Assessment methods
Data Journalism Pitch; Data Gif; Story and Data Visualisation
Course enquiries
Dr Scott Downman
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2024 (19/02/2024 - 15/06/2024) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
The course aims to provide an advanced level experience in the use of a variety of forms of large data in journalistic storytelling. This course skills students in journalistic storytelling through the prism of large corpora of data. Such data can include volumes of text from sources as diverse as social media and manuscript archives, as well as statistics. Students will be required to create data sets, access published and unpublished data sets, filter and analyse such data, and visualise their findings. As such the course blends traditional critical approaches to manuscript collections (including visuals), and the emerging computational social sciences, in order to create compelling stories.
