Health Technology Assessment (HTA) is the assessment of relevant evidence and knowledge on the effects and consequences of healthcare technologies. It contributes to priorities and decisions in relation to prevention, diagnosis, treatment and rehabilitation. This Masters in HTA focuses on the production, critical appraisal and use of scientifically rigorous research evidence, applied to a range of health-related areas.
Why this programme
-Our postgraduate taught courses provide a solid grounding in all the major disciplines within the field of Health Technology Assessment. This is unique within Scotland, and is one of few such programmes worldwide.
-Our faculty are world-class experts in their fields, who are active not only in research and teaching, but also involved in HTA decision-making at a national level (e.g. through NICE, SHTAG).
-Our teaching is research-led. The courses have been developed to reflect the latest academic research and up-to-date challenges in HTA decision-making.
-You will gain a comprehensive understanding and hands-on experience of the interconnected disciplines that are core to Health Technology Assessment. These include health economics, statistics, evidence synthesis, modelling and patient-reported outcome measures.
-During a course, from week to week you will interact with your teachers and fellow students using online discussion boards. Your teachers will direct and observe the discussion, and respond to student questions about the course content.
-You will have the opportunity to collaborate on a research project under the supervision of a member of academic staff or an external supervisor.
-HTA: Policy and Principles (20 credits)
-Statistical methods for HTA and evidence based medicine (20)
-Health economics for HTA (20)
-Foundations of decision analytic modelling (10)
-Evidence synthesis (20)
-Outcome measurement and valuation for HTA (10)
-Analysis of linked health data (20)
-HTA in a global context (20)
-Survival analysis for HTA (10)
-Qualitative research methods for HTA (10)
Optional course (delivered as face-to-face in Glasgow)
-Decision analytic modelling methods for economic evaluation (20)
Online distance learning at the University of Glasgow
allows you to benefit from the outstanding educational experience that we are renowned for -without having to relocate to our campus.
You do not need to have experience of studying online as you will be guided through how to access and use all of our online resources.
You will connect with your fellow students and tutors through our virtual learning environment where you will have access to a multitude of learning resources including:
-Electronic books and other web resources
A global community
As an online student at the University you will become part of a global community of learners. Community building and collaborative learning is a key focus of our online delivery and you will be encouraged and supported to interact with your fellow classmates and tutors in a number of ways. For example, through the discussions areas on our virtual learning environment, by skype, during live seminars and in our virtual campus on Second Life.
Great emphasis is placed on making sure you feel well supported in your learning and that you have good interactions with everyone on the programme. Support is available in a number of ways and you will find out more about this during orientation. All you need to participate in our online programmes is a computer and internet access.
HTA has growing importance internationally for informing health care decision making and there is increasing demand for employees with HTA relevant skills. Outside of the field of HTA, students would be well equipped with qualitative and quantitative research skills for jobs in academia, the pharmaceutical industry, and Government Information Services/Statistical agencies.
You should normally have a 2.1 Honours degree in a relevant quantitative subject. In exceptional circumstances, consideration will be given to those with a relevant professional qualification who have experience in the field of health technology assessment. A background in health or medicine is not required and we welcome applications from other academic disciplines.