Dissertation for MSc Health Policy, Planning and Financing

This information is for the 2016/17 session.

Teacher responsible

Currently Dr M Bhatia (LSE) and Dr N Spicer (LSHTM) as Programme Directors though the Programme Directorship sometimes varies from year to year.


This course is compulsory on the MSc Health Policy, Planning and Financing. This course is available as an outside option to students on other programmes where regulations permit.

Course content

The aim of the course is to provide a foundation to students on dissertation-writing as well as to address queries students may have in relation to their dissertation topic, the methodology used, the likelihood of ethical approval, and data acquisition, among others.

The dissertation could be on any topic in the field of health policy, planning and/or financing. The main body of the dissertation should include the background to the research, method of investigation, results of the analysis, discussion and policy implications and recommendations.


Teaching comprises two 2-hour seminars, one in the LT and one in the ST.

Students would find it of interest to attend the lectures of SA4C1 on SA4C1 Long Essay and the Research Process - 2 hours in the MT and 3 hours in the LT.

Finally, there is individual supervision for students on the dissertation.

Formative coursework

Students will be required to write a summary of the proposed dissertation, outlining the title, background to the topic, methods to be employed, and likely expected results. A list of literature sources will be appended to this summary.


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

Dissertation due on 1st September.

Student performance results

(2012/13 - 2014/15 combined)

Classification % of students
Distinction 10.6
Merit 49.7
Pass 37.1
Fail 2.6

Key facts

Department: Social Policy

Total students 2015/16: 44

Average class size 2015/16: Unavailable

Controlled access 2015/16: No

Value: One Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Specialist skills