Norwich Medical School

MSc HEALTH ECONOMICS (2 YEAR PART TIME)

Key details 

MSC HEALTH ECONOMICS (2 YEAR PART TIME)

Start Year
2022
Attendance
Part Time
Award
Degree of Master of Science

Assessment for Year 1

Most taught modules will feature a combination of assessment methods, including examinations, course tests and written assignments. 

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Assessment for Year 2

Most taught modules will feature a combination of assessment methods, including examinations, course tests and written assignments. 

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Open Days   

Year 1


Year 1 consists of the three core modules (MED-7021D, MED-7006D and MED-7008E) plus one additional module from either Option Range. 

Compulsory Modules (60 credits)

Code  MED-7006D   (20 Credits)

This module aims to equip you 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, efficiency and equity. The module uses these principles to explore relevant topics in health and healthcare. The following topics are covered:

  • 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

  • Inequity and inequalities in health and healthcare

  • The use of economic evaluation of health care interventions using techniques such as cost effectiveness analysis and cost benefit analysis

  • The determinants and consequences of health, and the economics of health behaviour

Code  MED-7008E  (20 Credits)

On this module you will understand and critically appraise the economic studies of health care interventions; understand the range of evaluation techniques and appropriate circumstances for application; and appreciate the links between economic evaluation and economic theory, health service research and decision making and to have confidence to conduct further economic evaluation studies.

Code MED-7022D  (20 Credits)

The purpose of this module is to provide students with a broad introduction to the methods used in Health Science Research. . The skills to be developed include being able to:

  1. Recognise basic quantitative and qualitative research designs

  2. Recognise different data collection techniques

  3. Acquire a basic understanding of both statistical analysis and qualitative analysis

  4. Critically appraise of the research literature.

ONLY AVAILABLE TO STUDENTS TAKING THE HEALTH ECONOMICS PROGRAMME

 

Options Range A  (0-20 Credits)

Students will select 0-20 credits from the following modules:

Code ECO-7000A  (20 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

Code ECO-7002A  (20 Credits)

This module focuses on various theoretical aspects within the linear regression framework using matrix algebra, complemented by simulations and applications to provide more intuition. A specialist econometrics software is used throughout, allowing a better understanding of the theoretical material using real world data and simulations. After a review of fundamental concepts in Econometrics, the module progresses to a detailed discussion of the multiple linear regression model (MLR), focusing on the theory of estimation, inference, and other important issues, such as, model misspecification and models that involve nonlinearities.

The properties of the OLS estimator are discussed in detail, and simulated examples show all the adverse consequences on these properties if certain assumptions in the data or the population do not hold. Real world applications are considered, discussing whether these assumption hold in reality. For example, the presence and consequences of having non-spherical errors is discussed, focusing on the problem of heteroscedasticity. Moreover, special attention is paid on the problem of endogeneity, while the instrumental variable approach is presented as the main strategy to deal with it.

Code MED-7013E   (20 Credits)

This course builds on the quantitative methods covered in Introduction to Research Methods. It will add depth to the basic knowledge already acquired in that module on measurement, survey instruments, study designs and statistics. Students will also take part in practical sessions where they will apply the statistical knowledge gained to describe and analyse datasets.

 

Options Range B

Students will select 0-20 credits from the following modules:

Code  ECO-7001B  (20 Credits)

This module builds on the material covered in the Autumn Semester modules Financial Econometrics, Econometric Methods, and Econometric Theory. The approach is more advanced than Financial Econometrics and Econometric Methods, and more applied than Econometric Theory. Many students find the material useful when they embark on empirical dissertations in the summer. Broadly, the module is divided into two halves: time series methods (including ARIMA modelling, stationarity testing, ARCH and GARCH models, VAR models and Granger causality testing, cointegration); cross section and panel data methods, models for treatment effects, and models for binary and ordinal outcomes.

Code  ECO-7003A  (20 Credits)

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.

Code  ECO-7011A  (20 Credits)

Introducing micro and macro economic analysis, this module will familiarise you with a wide range of economic tools which can be applied to issues relating to your Applied Training Programme. It 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.

Code  HSC-7057E  (20 Credits)

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:

Introduction, framing questions and inclusion/exclusion criteria

  1. Sources of evidence and literature search strategy

  2. Data extraction and validity assessment

  3. Synthesizing evidence from qualitative studies

  4. Synthesizing evidence from quantitative studies

  5. Quality of systematic reviews and overview of reviews

  6. Recent development in research synthesis methods

  7. Systematic review protocol

The learning outcome will provide you 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, you 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

 

Year 2 

In your second year, you will complete the remaining modules: 

Compulsory Modules ( 60 credits)

Code  MED-7007X  (60 Credits)

The purpose of this module is to illustrate the depth of skills and knowledge that have been developed through the MSc programme. The skills to be developed further include being able to: 

  1. Gain practical experience in conducting research in an area of self-chosen content or subject material

  2. Gain practical experience of presenting their research in a written format

  3. Apply their knowledge of qualitative and/or quantitative methodologies to their own area of self-chosen content or subject materia

Students will be encouraged to consider their dissertation work for publication either within the University or in refereed academic journals.

 

Options Range A (0-20 Credits)

Students will select 0-20 credits from the following modules:

Code ECO-7000A  (20 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

Code ECO-7002A  (20 Credits)

This module focuses on various theoretical aspects within the linear regression framework using matrix algebra, complemented by simulations and applications to provide more intuition. A specialist econometrics software is used throughout, allowing a better understanding of the theoretical material using real world data and simulations. After a review of fundamental concepts in Econometrics, the module progresses to a detailed discussion of the multiple linear regression model (MLR), focusing on the theory of estimation, inference, and other important issues, such as, model misspecification and models that involve nonlinearities.

The properties of the OLS estimator are discussed in detail, and simulated examples show all the adverse consequences on these properties if certain assumptions in the data or the population do not hold. Real world applications are considered, discussing whether these assumption hold in reality. For example, the presence and consequences of having non-spherical errors is discussed, focusing on the problem of heteroscedasticity. Moreover, special attention is paid on the problem of endogeneity, while the instrumental variable approach is presented as the main strategy to deal with it.

Code MED-7013E   (20 Credits)

This course builds on the quantitative methods covered in Introduction to Research Methods. It will add depth to the basic knowledge already acquired in that module on measurement, survey instruments, study designs and statistics. Students will also take part in practical sessions where they will apply the statistical knowledge gained to describe and analyse datasets.

 

Options Range B  (0-20 Credits)

Students will select 0-20 credits from the following modules: 

Code  ECO-7001B  (20 Credits)

This module builds on the material covered in the Autumn Semester modules Financial Econometrics, Econometric Methods, and Econometric Theory. The approach is more advanced than Financial Econometrics and Econometric Methods, and more applied than Econometric Theory. Many students find the material useful when they embark on empirical dissertations in the summer. Broadly, the module is divided into two halves: time series methods (including ARIMA modelling, stationarity testing, ARCH and GARCH models, VAR models and Granger causality testing, cointegration); cross section and panel data methods, models for treatment effects, and models for binary and ordinal outcomes.

Code  ECO-7003A  (20 Credits)

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.

Code  ECO-7011A  (20 Credits)

Introducing micro and macro economic analysis, this module will familiarise you with a wide range of economic tools which can be applied to issues relating to your Applied Training Programme. It 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.

Code  HSC-7057E  (20 Credits)

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:

Introduction, framing questions and inclusion/exclusion criteria

  1. Sources of evidence and literature search strategy

  2. Data extraction and validity assessment

  3. Synthesizing evidence from qualitative studies

  4. Synthesizing evidence from quantitative studies

  5. Quality of systematic reviews and overview of reviews

  6. Recent development in research synthesis methods

  7. Systematic review protocol

The learning outcome will provide you 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, you 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

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Register interest   
Open Days   

Entry Requirements

Degree classification

Bachelors degree - 2.2 or equivalent

Degree subject

Economics or related Social Science, Medicine, Pharmacy or other Health Care profession, with substantial quantitative (e.g. Maths / Statistics / Econometrics / Epidemiology) components

Additional entry requirements

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

The course is also open to medical undergraduates who have successfully completed 3 or 4 years of study and wish to obtain a Masters by intercalation.

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 2022, is TBC.

Students for whom english is a foreign language

We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:

  • IELTS: 6.0 (minimum 5.5 in only two components with 6.0 in the others)

  • PTE (Pearson): 64 (minimum 59 in two components only with 64 in the other two)

Test dates should be within two years of the course start date.

Other tests, including Cambridge English exams and the Trinity Integrated Skills in English are also accepted by the university. The full list of accepted tests can be found here: Accepted English Language Tests

INTO University of East Anglia

If you do not meet the academic requirements for this course, you may be able to study one of the International Graduate Diploma programmes offered by our partner INTO UEA. These programmes guarantee progression to selected masters degrees if students achieve the appropriate grade. For more details please click here:

International Graduate Diploma in International Development

INTO UEA also run pre-sessional courses which can be taken prior to the start of your course. For further information and to see if you qualify please contact intopre-sessional@uea.ac.uk

Intakes

This course is open to UK, EU and International applicants. The annual intake for this course is in September each year.
Course Reference Number: 4478406

Fees and Funding

Tuition fees for the Academic Year 2022/23 are: 

  • UK Students: £9,800 (full time) 

  • International Students: £19,000 (full time) (includes course cost of £215.00 Pre-Sessional fee)

If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for Home students). 

We estimate living expenses at £1,023 per month. 

Further Information on tuition fees can be found here

 

Scholarships and Bursaries 

The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates. 

Course related costs

Beyond your course fees, your only expense will be course books. 

Please see Additional Course Fees for details of additional course-related costs. 

Course Reference Number: 4478406

How to Apply

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

To apply please use our online application form.

FURTHER INFORMATION

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.

Course Reference Number: 4478406
Key details
Attendance
Part Time
Award
Degree of Master of Science
You’ll graduate ready to tackle some of the biggest questions in the provision of care for national government, the NHS, the private sector or research organisation.
Schools
Norwich Medical School
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