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
Availability
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.
Teaching
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
Assessment
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
Personal development skills
- Self-management
- Team working
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills