An understanding of the uses and limitations of modelling is an essential part of the toolkit of any Health Economist who is involved with Economic Evaluation, either as an analyst or a receiver/user of economic analysis.
This module goes beyond the introductory sessions in the Introduction to Health Economics module and covers the model types that are used in Health Economic analysis.
Module attendance required
One week block of teaching
19 February - 23 February 2024
Please note: if you are taking this module as part of the MSc Health Economics and Health Policy programme you will need to have completed the Statistics for Health Economics II module.
Examination (40%), and Assignment (60%).
- Examination (40%)
- An exercise involving construction, analysis, and reporting of the results of a model (maximum 2000 words for the report plus the model in appropriate software) (60%)
Academics involved in the delivery of this module
Stand alone course
This module can be taken as a stand-alone course, which if taken will not be assessed and no credits will be awarded.
Fee if taken as a stand alone course
UK/EU - £1550 (Public Sector), £2300 (Private Sector)
Non UK/EU - £2374, UoB Staff £800
Entry requirements if taken as a stand alone course
Previous knowledge of health economics and statistics equivalent to that obtained in the Introduction to Health Economics and Statistics for Health Economics modules. All applicants will be required to discuss eligibility with the Course Director at the time of applying.
PLEASE NOTE that if taken as a short course, this module is taught in conjunction with Statistics for Health Economics 2 which introduces regression techniques and Bayesian statistics for use in modelling. Both courses will require 8 days attendance in total, three days in December (Statistics) and five days in February (Modelling). The date of the Statistics for Health Economics 2 module is: 4-6 December 2023.
Please register via the online shop
Registration closes 10 November 2023
For enquiries about the Health Economics MSc programmes, please contact the Teaching Admin Team or Dr Raymond Oppong (Programme Lead)
For enquiries about taking a Stand Alone Course, please contact Dr Jesse Kigozi (Deputy Programme Lead)