Capstone Project

This information is for the 2021/22 session.

Teacher responsible

Dr Blake Miller


This course is compulsory on the MSc in Applied Social Data Science. This course is not available as an outside option.

Course content

The capstone course is a dissertation project that represents the final element in the construction of a student’s data science master’s education. The capstone project takes the form of a written thesis of up to 10,000 words, is based on an empirical investigation of a problem related to some social science field and using the tools of data science to leverage it. The topic will be developed with and agreed to by the student’s supervisor, and developed throughout the research design seminar.

Formative coursework

Each student will be required to give a short presentation outlining the subject of their project and the proposed argument of the project in a session organised for all students during ST.


Dissertation (100%, 10000 words) post-summer term.

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.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Methodology

Total students 2020/21: 27

Average class size 2020/21: Unavailable

Controlled access 2020/21: No

Value: One Unit

Guidelines for interpreting course guide information

Personal development skills

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