CMNS3470Data Visualisation in Journalism

Course handbook

Description

This course will require students to interpret data through the creation of tables, charts, animations and infographics for journalism. Students will build on skills learnt in other Communication courses to visualise data in a journalistic context and learn how to represent complex ideas, issues and data using various forms of visualisation. The legal and ethical implications of working with big data will be an integral part of the course as will an understanding of the social implications of data journalism and visualisation.

Availability2024 Course Timetables

Learning outcomes

On successful completion of the course students will be able to:

1. Reproduce data and visualisation in a range of journalistic styles;

2. Access, analyse and curate data from publicly available sources;

3. Create visualisations of primary data using research and technical tools;

4. Explain the social, legal and ethical implications of data journalism

Content

Topics will include:

• What is data in journalism
• Data Credibility
• Best practice data journalism
• The history, current practice and impact of data journalism
• Visualising data and the tools to communicate effectively
• How to integrate data into stories
• Legal and ethical implications of using big data
• Emerging technologies and tools in data visualisation
• Creating illustrations, animations and infographics

Requisite

This course is only available to students enrolled in the Bachelor of Communication and the Bachelor of Creative Industries, and associated combined degree programs [11496], [11503], [12342], [40041], [40125], [40246], [40289].

Assessment items

Report: Case Analysis Report

Proposal / Plan: Data plan, story and visualisations plan

Project: Data-driven news project

Contact hours

Trimester 1 - 2024 (Singapore) - Singapore PSB