Capstone Project

This information is for the 2019/20 session.

Teacher responsible

Prof Kenneth Benoit COL.8.11 and Dr Milena Tsvetkova COL.8.03


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 masters education. Work with a staff supervisor, and developed in a seminar, the dissertation provides students the means to combine all they have learned and embark on a self-guided project that will serve as their MSc study’s crowning achievement.


A series of around 4 dissertation seminars during MT and LT. The seminars cover methodological issues such as the literature review, sources of secondary quantitative data, topic guides for interviews, and sources of textual material.

There is no teaching for the Capstone project outside of supervision and our development seminars (currently MY499).

Formative coursework

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

Indicative reading

NA - will differ with every student project


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

The dissertation will be a 10,000 word Capstone project to be submitted via Moodle.

Key facts

Department: Methodology

Total students 2018/19: 29

Average class size 2018/19: Unavailable

Controlled access 2018/19: 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