JRN205 Research, Writing and Data Visualisation (8)

This subject introduces research techniques used by journalists in acquiring information. It examines data journalism as a contemporary research tool and the use of data visualisation in reporting. Research and information are developed into text in a feature format. Data is assessed, interpreted and visualised.


Session 1 (30)
On Campus
Bathurst Campus
Bathurst Campus

Continuing students should consult the SAL for current offering details: JRN205. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Communication and Creative Industries

Assumed Knowledge

Students are recommended to have prior knowledge equivalent to or gained from JRN200.

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to explain journalistic research methods;
  • be able to identify opportunities for investigation and data research;
  • be able to interpret information and data for a general audience;
  • be able to write up research in short feature form; and
  • be able to use journalistic research to create data-driven stories.


This subject will cover the following topics:
  • Stories as research outcomes
  • The relationship between research, investigation and data in journalism
  • The interview as information source
  • Social media research for news stories
  • Sourcing and interpreting public records and financial information
  • Accessing and interpreting data using spreadsheet software
  • Using data visualisation tools
  • Integrating research and data findings into contemporary journalism

Indicative Assessment

The following table summarises the assessment tasks for the online offering of JRN205 in Session 1 2020. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).

Item Number
Value %
Weekly tasks and in-class tests
Research plan and feature story
Data visualization story and report

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.