Not available in 2022/23
GV331      Half Unit
Capstone Data Science & Civic Engagement

This information is for the 2022/23 session.

Teacher responsible



Students must have completed Introduction to Political Science (GV101), Elementary Statistical Theory (ST102), Programming for Data Science (ST101) and Research Design in Political Science (GV249).

Course content

The Data Science and Civic Engagement Capstone requires groups of students to carry out an applied research project in order to address a practical policy issue or problem relevant to a civic partner organisation. This allows students to extend their capabilities and apply methodological knowledge and skills they learned in the Politics and Data Science degree to address real-life social, political, or policy problems. Capstone partner organisations may include advocacy groups, NGOs, thinktanks, public sector bodies, local governments, international organisations, or private companies where projects involve the social good. The initial weeks of the course will introduce students to the requirements of their Capstone project, key research strategies and essential questions. At the same time, from week 1 students will begin to research in allocated teams. Students are also expected to work steadily throughout the term with members of their team and with their supervisors. The completed research will be presented by week 11, both in the form of a team presentation and a report.


2 hours of workshops in the MT. 6 hours of workshops in the LT. 2 hours of workshops in the ST.

2 hours of workshops in MT, 6 hours of workshops in LT, and 2 hours of presentations in ST.

These workshops are supplemented with regular help sessions.

Formative coursework

Students will be expected to produce 1 presentation in the LT.

Capstone groups must produce 1 team presentation for the “check-in” session, usually in week 5 of LT.

Indicative reading

As a capstone project course, there will not be required readings. However, students will be directed towards potentially useful background resources including:

Cyd Harrell (2020). A Civic Technologist's Practice Guide. Five Seven Five Books.

Eugene Bardach and Eric M. Patashnik (2016). A Practical Guide for Policy Analysis. London: Sage.

Brian A. Griffith and Ethan B. Dunham (2015). Working in Teams: Moving from High Potential to High Performance. London: Sage.

Edward R. Tufte (2001). The Visual Display of Quantitative Information. 2nd edition. Cheshire, Conn.: Graphics Press.


Project (80%, 8000 words) and presentation (20%) in the LT.

Group project (80%, 8000 words) and group presentation (20%) in the LT.

Key facts

Department: Government

Total students 2021/22: Unavailable

Average class size 2021/22: Unavailable

Capped 2021/22: No

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills