Our MSc in Economic Evaluation for Health Technology Assessment will give you the tools you need to solidify the knowledge you have gained in your PGCert and PGDip Health Economics for Health Care Professionals.
Mounting pressure on healthcare budgets worldwide has focused attention on how best to organise health care systems and the spending within them. The University of York distance learning courses in health economics allow you to gain a qualification without interrupting your career, and offer the flexibility to spread study over a period of years to suit your professional and personal circumstances.
This course will give you a comprehensive knowledge of health economics, which you can apply directly to the problems you face in the workplace.
In this course, you will complete three modules to the value of 20 credits each. These will be combined with the modules you completed for your PGCert and PGDip Health Economics for Health Care Professionals to make the 180 credits you need to obtain the Masters qualification.
You’ll study three 20 credit modules.
Assessing the Impact of Medical Technologies on Health (20 credits)
Further Methods for Outcome Measurement (20 credits)
Decision Analysis for Health Technology Assessment (20 credits)
Please note, modules may change to reflect the latest academic thinking and expertise of our staff.
As this is a distance learning course, you will be able to complete much of the work you need to do for each module in your own home or workplace.
The two-day residential workshops that we offer will take place on Campus West at the University of York.
Assessment and feedback
Your modules will be assessed through open exams.
Careers and skills
This is a Continuing Professional Development course and is designed for those who are already employed.
The learning objectives aim to equip you with the necessary skills in health economics to progress your career within your current organisation and/or to change career direction, targeting jobs which combine health economics with the disciplines in which you are already qualified.
Integration of new knowledge with existing professional background.
Application of appropriate mathematical, graphical and data analysis techniques to apply to a wide range of work-based problems.
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