PDIP Health Economics


Discover more about Health Economics at UEA.

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Key facts

(REF, 2014)


The BMJ explores how studying Health Economics is useful for Doctors. Is there an economist in the house?

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Discover our Health Economics research group - a team of dedicated academics who are informing decisions about the use of health care resources at local, national and international level.

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Study health economics and make your decisions count. Based in the Norwich Medical School, you will not only develop an understanding of economic concepts as applied to health, public health, and health services policy, you will also benefit from training alongside a range of healthcare professionals.



If you are a graduate economist or from another relevant disciplinary background (such as health professionals or other quantitative social scientists) and wish to gain a good knowledge and understanding of how economic ideas and principles are relevant to, and applied in, health and healthcare, combined with practical experience of applying health economics techniques, this course is for you.


You will gain an appreciation of the links between economic evaluation and economic theory, health services research and decision making. You will also develop practical skills in economic analysis of health problems. You will develop your analytical skills in quantitative research methods as well as your skills of critical appraisal and your ability to apply research results to practice and to health services decision making. The programme is taught from within a research active health economics group. This means you will benefit from access to up-to-date and real-world health economics research experience and have the opportunity to work on active research on your dissertation topic.


This programme provides the analytical tools and practical skills on which to start building a career in health economics. After graduation, you will be a sought-after professional ready to pursue a rewarding career as a health economist in organisations such as central government, NHS Trusts, the National Institute for Health and Care Excellence (NICE), or with the World Health Organisation (WHO). You could also become an analyst in pharmaceutical firms, for example, or you may choose to build upon your postgraduate research and pursue a career in research or academia.


Find out more about careers for students of Health Economics from the Economics Network. Discover more about Intercalating at UEA

Course Modules 2017/8

Students must study the following modules for 60 credits:

Name Code Credits


The pre-requisites for this 20-credit module are MED-M07D Health Economics and MED-M31D Introduction to Research Methods, or experience and knowledge of health service research methods and health service experience or a relevant qualification. The objectives are to enable students: to understand and critically appraise economic studies of health care interventions; to understand the range of evaluation techniques and appropriate circumstances for application; to appreciate links between economic evaluation and economic theory, health service research and decision making and to have confidence to conduct further economic evaluation studies.




This module aims to equip students with an understanding of health economics, its value and limitations. It is suitable for students with and without an economics background as the course covers fundamental economic principles and their application to health care. These will include concepts of opportunity cost, supply and demand and efficiency. The module uses these principles to explore relevant topics in health and healthcare. The following topics are covered. The use of economic evaluation of health care interventions using techniques such as cost effectiveness analysis and cost benefit analysis. The application of economic principles to system level health policy issues such as health care priority setting, alternative models of health care financing and organisation, and equity and inequalities in health. There are also sessions of the determinants of and consequences of health and also the economics of health behaviour.






Students will select 20 credits from the following modules:

(ECO-M003 Is only availble to those with an undergraduate economics degree 2:1 or above)

Name Code Credits


This is a module of two halves. The first half introduces some basic econometric techniques, and the problems which arise in their use. The second half applies the skills acquired in the first half to particular problems in economics such as exchange rate models and the analysis of discrete choices by individuals. An emphasis is placed on the practical side of the subject. With the aid of the specialist econometric computer software STATA, theoretical models are estimated and tested using real data.




This is an advanced module in econometric theory, aimed at students with some prior knowledge of econometrics. Using matrix algebra, the multiple regression model is analysed, and the theory of estimation and hypothesis testing is developed in this context. Violations of the basic assumptions of the multiple regression model, such as heteroscedasticity, serial correlation, misspecification and measurement error, are analysed from a theoretical perspective. Finally, dynamic models and models of expectations are covered. The specialist econometric software package STATA plays a role, but with a much greater emphasis on techniques than on results.




The purpose of this module is to build on the coverage of quantitative methods and critical appraisal skills that were introduced and described in the Introduction to Research Methods module. The skills to be developed further include being able to 1: add depth to the basic knowledge already acquired in that module on measurement, survey instruments, trial design and statistics, 2: begin to acquire a basic understand of the concept of systematic reviews and meta analysis.



Students will select 40 credits from the following modules:

Students should select either ECO-M005 or ECO-M019. ECO-M005 is only available to those students with an undergraduate economics degree 2:1 or above

Name Code Credits


This module builds on the econometric theory of earlier courses: ECO-7000A, ECO-7009A and ECO-7002A. It attempts to place the theoretical ideas of those modules in the context of current applied analysis. The module is divided into five main parts: data issues and distribution theory time series econometrics, estimation of systems of equations, microeconomics, and panel data models. There is an emphasis on the practical application of common estimation techniques, with the specialist econometric software package STATA being used extensively. These skills are assessed in an applied project at the end of the course.




This module is designed to introduce students to micro and macro economics analysis, and to familiarise students with a wide range of economic tools which can be applied to issues relating to their Applied Training Programme. The module covers, in particular, consumer and producer choice, market equilibrium, market structure, externalities and public goods, the macroeconomics of inflation, unemployment and growth and macroeconomic policy.




This is an advanced module in microeconomic theory, designed for postgraduate students with a strong background in economics. The topics covered in this module include the duality approach to demand theory, firm theory, general equilibrium theory, game theory, choice under uncertainty, agency theory and the economics of asymmetric information. The rational-choice foundations of microeconomics are also critically examined.




This module provides a broad introduction to health issues in a context of development. It reviews different cultural understandings of health, and relationships between health, socio-economic change, livelihoods and poverty. The module also examines health policies of particular relevance to developing countries. While the module looks at health issues in general, it pays particular attention to links between HIV/AIDS and development.




Findings from systematic reviews have been increasingly used by health policy makers, clinicians and patients for making decisions. A systematic review of available evidence is also often required for developing new research, and for interpreting findings from a primary study. The module will include the following contents; 1.Introduction, framing questions, inclusion/exclusion criteria 2.Sources of evidence and literature search strategy 3.Data extraction, and validity assessment 4.Synthesizing evidence from qualitative studies 5.Synthesizing evidence from quantitative studies 6.Quality of systematic reviews, and overview of reviews 7.Recent development in research synthesis methods 8.Systematic review protocol. Learning outcome: Provides students with the skills and understanding to appraise and interpret published systematic reviews, to develop a protocol and undertake a systematic review. By the end of the module, students will be able to: #Frame questions appropriate for a systematic review #Design an appropriate literature search strategy #Assess the relevance and quality of primary studies #Qualitatively and quantitatively synthesize data from primary studies #Appropriately interpret findings of a systematic review and meta-analysis #Understand common pitfalls in systematic reviews and meta-analysis #Become familiar with recent method research relevant to systematic reviews.




Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will endeavour to inform students.

Entry Requirements

  • Degree Subject Economics or related social science, medicine, pharmacy or other health care profession, with substantial quantitative (e.g. maths / statistics / econometrics / epidemiology) components
  • Degree Classification 2.2 or equivalent
  • Alternative Qualifications The University will also consider applications from applicants with current registration as a health professional with an appropriate professional statutory regulatory body

Entry Requirement

Applicants should normally have a good first degree from a recognised higher education institution. The University will also take into account the employment experience of applicants where relevant.

It is normal for undergraduate students to apply for entry to postgraduate programmes in their final year of study. Applicants who have not yet been awarded a degree may be offered a place conditional on their attaining a particular class of degree.

Students for whom English is a Foreign language

We welcome applications from students whose first language is not English or those whose degree was not taught in English. To ensure such students benefit fully from postgraduate study, we require evidence of proficiency in English. We also will require a certain standard to be achieved on the written element of the test. Our usual entry requirements are as follows:

  • IELTS: 6.5 (minimum 6.0 in all components)
  • PTE: 62 (minimum 55 in all components)

All scores must be less than two years old.

Special Entry Requirements

September Pre-Sessional Courses

You may be required to attend a pre-sessional course in mathematics and statistics run by the School of Economics prior to the start of your course. It runs for two weeks preceding the start of the Masters course in September. This course covers mathematical techniques for Economists, statistics and data analysis using statistical software. There is a separate fee for this course which, for entry in September 2017, is £215.

Fees and Funding

Fees for the academic year 2018/19 are:

  • UK/EU Students: £5,000

For those applying under the Health Education England contract, contract prices will apply.

How to Apply

Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.

You can apply online, or by downloading the application form.

Further Information

To request further information & to be kept up to date with news & events please use our online enquiry form.

If you would like to discuss your individual circumstances prior to applying please do contact us:

Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk

International candidates are also encouraged to access the International Students section of our website.

    Next Steps

    We can’t wait to hear from you. Just pop any questions about this course into the form below and our enquiries team will answer as soon as they can.

    Admissions enquiries:
    admissions@uea.ac.uk or
    telephone +44 (0)1603 591515