|Study location||United Kingdom, Sheffield|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
Minimum 2:1 honours degree from a recognised university in a numerate subject.
Relevant subjects include economics, operational research, mathematics, statistics, industrial engineering, management science, physics or systems control.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
IELTS: 7.0 with a minimum of 6.5 in each component
At least 2 reference(s) must be provided.
These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish.
This course is dedicated to the practical application of mathematical modelling to inform healthcare decision making. It bridges the gap between the underlying theory and application of mathematical modelling for decision making and more traditional health economics.
Governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies.
Currently there is an international shortage of qualified specialists in this area. This course is ideal preparation for a career as a professional health economist or modeller.
The programme is suitable for those who wish to pursue careers as applied economists in the health sector or as the basis for doctoral research.
Cost-effectiveness Modelling for Health Technology Assessment
Introduction to Health Economics
Health Research Methods
Medical Statistics and Evidence Synthesis
Operational Research Techniques in Health Resource Allocation
Advanced Simulation Methods
Valuing the Benefits of Health Care