To be confirmed.

This course is compulsory on the MPA in Data Science for Public Policy. This course is not available as an outside option.

Students will undertake a group project (in teams usually of 3 to 6 people) relating to a public policy problem faced by an external organisation that can be meaningfuly tackled with quantitative and data science tools. Typical clients include public sector bodies, private sector companies, international organisations, think tanks and NGOs. The group will have from October to March to work on an issue defined by the client organisation, investigating and developing a workable solution to the problem. The Capstone will enable students to develop and strengthen organisational, analytical report writing, and group working skills. 

This course is delivered through help sessions totalling a minimum of 5 hours across Autumn Term.

This teaching will be delivered through online interactive seminars complemented with short lectures delivered as online recordings. These sessions provide guidance and advice on planning and managing the Capstone process and maintaining effective and fair group work.

Each Capstone group will be allocated a supervisor, who will provide guidance on the project's development and assistance with client liaison. Other members of staff may also advise as required.

Feedback will be provided on presentations of work-in-progress during AT and WT.

A detailed list of learning resources will be provided by the instructor prior to the start of the AT. Helpful readings include: 

• Policy analysis: William N. Dunn, Public Policy Analysis: An Integrated Approach (Routledge, 2018); Eugene Bardach and Eric M. Patashnik, A Practical Guide for Policy Analysis (Sage Publications, 2016); David L. Weimer and Aidan R.Vining, Policy Analysis: Concepts and Practice (Routledge, 6th edition, 2017); Sue C. Funnell and Patricia J. Rogers,Purposeful Program Theory (Jossey-Bass, 2011); Philip H. Pollock, The Essentials of Political Analysis (CQ Press,2016)
• Report writing: John Bowden, Writing a Report 9th edition (How to Books, 2011); Stella Cottrell, Dissertations and Project Reports: A Step by Step Guide (Palgrave Study Skills, 2014).
• Group working: Laura Lipton, Groups at Work: Strategies and Structures for Professional Learning (Miravia, 2011); Brian A. Griffith and Ethan B. Dunham, Working in Teams: Moving from High Potential to High Performance (Sage, 1st edition, 2015).

Project (100%, 15000 words) in the WT.

The project work is conducted in teams, and the assessment is based on a collective group mark for each component except in exceptional circumstances. The group mark has three components:

1. 20% of the overall mark is assigned by the client organisation based on a group presentation and a submission of the project report.
2. 50% of the overall mark is given by two academic readers upon submission of the project report; and
3. the final 30% of the overall mark is allocated by the Capstone supervisor on the basis of the group's performance in terms of (i) scoping and project development (including coping with difficulties), (ii) group working and self-management as a team, and (iii) the overall output of the project (10% for each item).

Additionally, each group member must complete the Capstone evaluation and feedback exercise. This will be submitted individually and separately from the report.