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 full range of model types that are appropriate for use in Health Economic analysis (such as Markov models, transmission dynamic models and Bayesian approaches to modelling).
Credits
20 credits
Module Attendance Required
One week block of teaching
Module Dates
20 - 24 February 2023
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.
Assessment
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 if required. This module can be taken on a stand alone basis however it 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.
Register for this course now via the university online shop.
More information
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)