The Health Economics and Decision Modelling course at the University of Sheffield is unique in offering students the opportunity to gain skills in two important and complementary fields and also offers placement opportunities in external organizations. Students will gain skills and knowledge about both theoretical and practical aspects of health economics, which is increasingly important internationally for understanding the effectiveness, cost and efficiency of all aspects of healthcare. This is combined with a unique opportunity to study the role and practice of mathematical modeling in relation to resource allocations decisions in a range of healthcare settings. Such skills are increasingly needed by a range of international employers including governments, insurers, healthcare organizations and the pharmaceutical industry to meet increasing demands to analyze the costs and benefits of health related strategies.
The course is taught by internationally recognized researchers and staff who will use their experience and the most recent examples to equip students with the techniques and methods of health economics and modeling and to prepare them for practice. Students will be taught using lectures, seminars and practical tutorials and gain experience in a range of specialist software which is provided for free to students. Students also undertake an independent dissertation project and there are opportunities for these to be taken as placements with a number of external organizations and many alumni have gone on to secure employment with host organizations.
We are pleased to offer the Sheffield Scholarship 2016 to all US students commencing a Taught Masters programme in September 2016. The scholarships are:
• £2,000 if your tuition fees are between £14,500 and £16,500
• £2,500 for each student paying fees of £16,501 and upwards
We also offer scholarships of 50% of the course fee which will be offered on the basis of academic merit.
International Student Requirements:
IELTS with average 7.0 or TOEFL 91 (internet test)