Not available in 2017/18
MY498      Half Unit
Capstone Project

This information is for the 2017/18 session.

Teacher responsible

Dr Jouni Kuha COL8.04


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


Take home exam (100%).

2,500 word take home exam with a programming element

Key facts

Department: Methodology

Total students 2016/17: Unavailable

Average class size 2016/17: Unavailable

Controlled access 2016/17: No

Value: Half 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