Data Journalism

Subject JOUR90011 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

January, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 15-Jan-2016 to 05-Feb-2016
Assessment Period End 25-Feb-2016
Last date to Self-Enrol 19-Jan-2016
Census Date 29-Jan-2016
Last date to Withdraw without fail 12-Feb-2016

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 28 Hours, made up of four whole day workshops of seven hours each
Total Time Commitment:

170 Hours

Prerequisites: None
Corequisites: None
Recommended Background Knowledge:

A basic level of computer literacy is recommended.

Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Mr Craig Butt


Subject Overview:

This unit will explore the practice and theoretical underpinnings of data journalism, whereby news content is organized around structured pieces of data, as opposed to conventionally structured news stories. Students will learn how to access key public databases, extract stories from them, and make the data available in visualisations that facilitate citizens’ own inquiries and investigations. Students will be acquainted with the history and current practice of data journalism, including key international examples.

Learning Outcomes:

Students who successfully complete this subject should be able to:

  • Demonstrate the skills involved in accessing, analysing and curating data from publically available sources
  • Understand the history, current practice and likely impact of data journalism.
  • Work efficiently in teams and newsroom environments to produce high quality data journalism packages
  • Demonstrate editing and production skills
  • Produce news and current affairs reports sourced from public databases for a range of media delivery platforms
  • 1 data reporting assignment equivalent to 4,500 words, due during in the examination period (80%)
  • 1 classroom presentation (1,000 words), due during the semester (20%)

Students are required to attend a minimum of 100% of classes in order to pass this subject.

Prescribed Texts:

A subject reader will be made available, and key examples of data journalism made available through the LMS.

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • High level ability to analyse writing techniques and affects
  • High level ability to express thoughts, ideas and observations in accessible written English.
Links to further information:
Related Course(s): Graduate Diploma in Journalism (Advanced)
Related Majors/Minors/Specialisations: 100 Point Master of Journalism
150 Point Master of Journalism
200 Point Master of Journalism

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