Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

• To introduce students to some of the rising issues and challenges at the forefront of big data research; • To explore the extent to which big data problematise core methodological issues in research; • To apply general issues involved in doing research with big data to more specific thematic areas of study, which also map onto Warwick's Global Research Priority research areas.

Principal learning outcomes

By the end of the module, students should be able to: • Appreciate the rising issues and challenges at the forefront of big data research; • Critically engage with the ways in which big data problematise core methodological issues in research; • Apply general issues involved in doing research with big data to more specific thematic areas of study (e.g. cities, sport, health, etc.); • Understand key methodological and epistemological challenges involved in conducting social research with big data.

Timetabled teaching activities

Classes are typically scheduled to Thursdays, 2-5 pm, starting week 2 (Timetabled Teaching Activities are not finalised until September).

Departmental link

http://www2.warwick.ac.uk/fac/cross_fac/q-step/study/modules/qs902/

Module assessment

Assessment group	Assessment name	Percentage
20 CATS (Module code: QS906-20)
A (Assessed work only)	Summative Essay (5000-6000 words)	100%
30 CATS (Module code: QS906-30)
A (Assessed work only)	Summative Essay (5000-6000 words)	100%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core

N/A

Optional

• Postgraduate Taught Digital Media and Culture (L99A) - Year 2