36104 Data Visualisation and Narratives8cp; 25hrs on campus: 4 x 3hrs (evening session 6–9pm); 1 x half-day (block 9am–2pm); 1 x all-day (block 9am–5pm) plus online activities throughout the non-campus weeks ; availability: Master of Data Science and Innovation students only
Any student wishing to enrol in first- and second-year subjects concurrently, needs to apply for a waiver.
This subject requires attendance at the evening and Saturday sessions, which form important parts of assessed work.
This subject engages students in the power of narrative and visualisation as 'person-centred’ methods for sense making around data. Students explore a range of techniques and open source technologies for visualising different types of data, that could include medical, open government, accounting, business, scientific, satellite, and historical data as a means of generating new insights. Students experiment with and evaluate different methods for communicating insights to a range of stakeholders and domain experts in a chosen field. Through investigating different narrative approaches to 'tell the story', students hone their skills to succinctly and persuasively communicate descriptions of phenomena studied in the data set as well as confidently justify their findings.
Autumn session, City campus
Detailed subject description.