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									         MSc in Policy Analysis and Evaluation
In 2005, the Government Social Research Unit (GSRU) entered into
partnership with the Institute of Education (IOE) to set up and run a Masters
level qualification in ‘Policy Analysis and Evaluation’.

The qualification is open to members of the Government Social Research
service (GSR), members of the other government analytical professions and
those in government who would like to join the government analytical

The MSc aims to:

1. provide a broadly based training in social science research methods, with
   an emphasis on quantitative methods most relevant to government social
   science research staff
2. develop students' knowledge and understanding of research design,
   research management, evidence-based policy, economic analysis,
   longitudinal analysis and a range of quantitative, evaluative and qualitative
   research methods
3. provide students with transferable skills which can be used effectively in
   different work environments.

The MSc is a modular degree, completed part-time over two years.

This prospectus aims to provide all the information you need in order to
decide if this qualification is right for you. It also includes all the application
details if you wish to proceed. Please note that the closing date to apply for
the 2008 intake is 08 August 2008.

The prospectus for the 2008 intake has been prepared jointly by GSRU and
the IOE, and covers all aspects of the course, the admissions policy, the
application process and the fees.

  1. Foreword ..................................................................................................3
  2. Introduction...............................................................................................4
  3. The Government Social Research Unit and the Institute of Education .....5
  4. Structure of the Degree ............................................................................6
  5. Expected learning outcomes ....................................................................7
  6. Entry Requirements ..................................................................................8
  7. Course Team............................................................................................9
  8. Report Module ........................................................................................10
  9. Course Dates .........................................................................................11
  10. Taught Modules ....................................................................................12
  11. Location ................................................................................................20
  12. Time commitment .................................................................................21
  13. Fees .....................................................................................................22
  14. Assessment ..........................................................................................23
  15. Studying at the Institute of Education ...................................................24
  16. Student Information ..............................................................................25
  17. Quality assurance .................................................................................27
  18. Progression ..........................................................................................28
  19. Application for the MSc in Policy Analysis and Evaluation ...................29
  20. How to apply.........................................................................................30

1. Foreword
I am committed to a Government Social Research service that is well qualified
and respected. It is essential that researchers understand current thinking
and can use proven techniques. I therefore very much welcome the
collaboration between the Government Social Research Unit and the Institute
of Education, University of London in providing an MSc in Policy Analysis and

The MSc has been specifically tailored to the needs of government social
researchers. It offers a unique opportunity for you to enhance your
professional skills, allowing you to gain a qualification from an internationally
renowned institution.

I would encourage you to consider this opportunity.

Paul Wiles
Chief Government Social Scientist

2. Introduction
The Government Social Research Unit (GSRU) and the Institute of Education
(IOE), University of London are inviting applications to take up a place on the
jointly-run MSc in Policy Analysis and Evaluation, commencing October 2008.
This is the fourth year of the jointly run MSc. It is a modular degree, and has
been designed to be completed part-time over two years. It covers research
methods used in drawing up an evidence base for designing, critiquing and
evaluating government policies, as well as critiquing, evaluating and analysing
the effects of policies. The overall emphasis of this degree is on quantitative
research methods.

This prospectus is intended to provide you with detailed information about the
aims, structure, content and entry requirements for the MSc. All the
information you require should be contained within the prospectus. However,
if you have any further queries you would like to make before making an
application, please feel free to contact GSRU by email to GSR-web@HM- or else the Course Leader Professor Shirley Dex
( telephone 020 7612 6231.

Once you have made a decision to apply, please read the information on how
to apply in section 20 and ensure you have the approval of your line manager
and head of unit and your finance department. Please remember that
applications must be received by 08 August 2008.

We look forward to receiving your application.

Dr Siobhan Campbell, Director of Studies
Government Social Research Unit

3. The Government Social Research Unit and
   the Institute of Education
The MSc in Policy Analysis and Evaluation is a partnership between the
Government Social Research Unit (GSRU) and the Institute of Education

Government Social Research Unit (GSRU)

The Government Social Research Unit (GSRU) is the Chief Government
Social Scientist’s supporting office. It provides strategic leadership to the
Government Social Research service (GSR) and supports it in delivering an
effective service. It has a broad role in promoting the use of evidence in
strategy, policy and delivery and leads on strategic social research issues and
standards for social research in government. It represents GSR and its work
within government and in the wider research community. It also provides
practical support and advice to departments on the organisation and delivery
of research and on recruitment, career development and training.

Social science research informs the development, implementation and
evaluation of a wide range of government policies. GSR plays a crucial role
in evidence-based policy making today, by using evidence to help
government to make better policies and deliver better services.

GSR members provide research input to the analysis required for policy
development, implementation, review and evaluation. Ultimately, this
research evidence will help inform the policy decisions of Ministers.

GSR members offer research-based advice and briefings in-house and
manage about £150 million worth of research and evaluation throughout the

Institute of Education (IOE), University of London

The Institute of Education is the largest graduate school of education in
Britain and is ranked among the leading education schools in the world.

Located in the heart of London, the IOE is a fantastic place to study. Its
courses are thoroughly up-to-date and are enriched by world-class research
that has made the Institute a centre of excellence for education and social
research inquiry. Members of the course team are leaders in their field both
nationally and internationally and research activities have resulted in many
publications, which feed directly into the Master's programme. The staff
teaching on this degree also have longstanding track records in carrying out
research for government departments and are aware of the need for
evidence-based policy and its foundation in high quality research.

4. Structure of the Degree
The course has been designed to provide students with an understanding of
the major quantitative research skills relevant to designing, analysing and
evaluating government policy, as well as some of the most relevant qualitative

Participants will gain a high level of critical insight into a range of research
methods. They will be expected to apply their understanding to policy and
research questions and communicate their understanding clearly to academic
specialists and non-specialists, and in so doing develop their existing skills in
critiquing and applying research methods. Participants will be expected to
work at a level of critical engagement, conceptual understanding and
application commensurate with the grade-related criteria at Masters level.

The course also recognises the context in which government social science
research is conducted, and that understanding this context and working within
it is integral to the production of high quality, usable research outputs. Hence
part of the course is devoted to developing participants’ understanding of
research in government more broadly.

In order to receive the MSc degree you will need to earn 180 credit points.
The course consists of five compulsory modules with a total of 120 credit
points. Participants must also select two out of a choice of four further 30
credit modules (total of 60 credit points). Details of the modules are
presented below.

                                                       Module         Credit
                                                       provider       points
Compulsory modules
Introductory: Commissioning and Managing Social         GSRU
Introductory: Ethics                                    GSRU
Research for government                                 GSRU             15
Statistical analysis                                     IOE             30
Experimental & quasi-experimental design                 IOE             15
Research synthesis for policy and practice               IOE             30
Report (10,000 words)                                    IOE             30

Optional modules (select 2)
Sampling design & survey data collection                  IOE            30
Qualitative research & analysis                           IOE            30
Evaluation Methods and Economic Appraisal                 IOE            30
Longitudinal research & analysis                          IOE            30

5. Expected learning outcomes
On successful completion of the course, students should be able to:
      formulate researchable problems
      critically evaluate published research
      articulate links between policy questions, research design and
       research methods
      critically and selectively apply knowledge of research design and
       methods to their research questions
      understand and apply a range of research methods and tools
      understand how to carry out data collection foregrounding the
       importance of the research question in this process
      carry out data analyses, both quantitative and qualitative,
       foregrounding the importance of the research question or model in this
      systematically review and evaluate published research and understand
       whether it contributes to evidence-based policy making
      complete a 10,000 word report based on a substantive or
       methodological topic, which shows understanding of the above list of
       learning outcomes.

6. Entry Requirements

Current work

In order to be eligible for the degree you will need to be a serving civil servant.
Priority will be given to Government Social Researchers, but other suitably
qualified individuals are welcome to apply provided that they are involved in
government research and analysis to some degree.

You will need to have approval from your line manager and the person who
holds the training budget for your Directorate (usually your Head of Unit).


In terms of academic qualifications, the normal minimum requirement for entry
to this programme is a second class honours degree, preferably in a social
science subject, from a UK university or an overseas degree from outside the
UK that the IOE judges to be of an equivalent standard.

The IOE may also consider applicants with a professional or other
qualification gained by written examination and judged by the Institute to be
the equivalent of a second class honours degree.

Candidates may also be eligible for entry if they have alternative qualifications
gained by written evidence; in such cases, the IOE may ask them to take a
qualifying examination or prepare qualifying essays.

If you need advice about whether you meet these requirements please
contact the Institute of Education (Magdalen Meade email:

7. Course Team
Institute of Education
Professor Shirley Dex             Professor, Centre for Longitudinal Studies
Professor Lorraine Dearden        Professor, Department of Quantitative Social
Professor Dick Wiggins            Professor and Head of Department of Quantitative
                                  Social Science
Professor John McDonald           Professor of Longitudinal Social Statistics, Centre
                                  for Longitudinal Studies
Dr Anna Vignoles                  Reader, Department of Quantitative Social
Dr James Brown                    Lecturer in Social Statistics, Department of
                                  Quantitative Social Science
Dr Mano Candappa                  Research Officer, Department of Educational
                                  Foundations and Policy Studies
Dr Rebecca Rees                   Academic Fellow, Social Science Research Unit

Government Social Research Unit
Dr Siobhan Campbell               Director of Studies, Government Social Research
Anna Richardson                   Principal Research Officer, Government Social
                                  Research Unit

Independent consultants
Sue Duncan                        Independent consultant
Roger Jowell                      Research Professor at City University, London
                                  Founder Director of the Centre for Comparative
                                  Social Surveys, City University

8. Report Module
The report module of the degree is based upon independent study.

The total assessment for the award of Master's degree must include either a
dissertation or a report. In addition, you should note that although this is not a
taught element of the course you are entitled to individual support for this
element of your programme of study.

The report is worth 30 credits for 8,000 to 10,000 words. Your Course Leader
will be able to advise you of the assessment criteria for a report or
dissertation; the general criteria can be found in the Student Handbook, which
will be given to you following your registration.

The dissertation should ideally be related to your area of work. It would
therefore be desirable if your line manager acted as a mentor to the project.

9. Course Dates
The MSc will begin in September/October and courses will be run to early
July of the following year with the submission date for the last assignments
running to the end of August. The dates for the 2008/09 session are still to be
finalised, but as an example, you can see the course dates for 2007/08 were:

                                     Commissioning and Managing
                                                                                 5-6 March
                                     Social Research
                                     Ethics: Issues, procedures and
                                                                                 7 March

Introductory Statistics              Review of statistical concepts and
                                                                                 18-19 September
Course*                              methods

                                     Methods of data analysis                    8-9, 22 Oct
Statistical analysis
                                     Further multivariate data analysis          10, 11, 21 Jan

                                     Theory, methodology and politics:
                                     qualitative research as evidence for        8-9 Nov
Qualitative research and             policy
                                     Qualitative methods and
                                                                                 21-22 Nov
                                     technologies for policy evaluation

Experimental & quasi-                Experimental & quasi experimental
                                                                                 27-29 November
experimental design                  evaluation

Research and research
management for                       Research for government                     12-13 Dec

                                     Longitudinal analysis                       5-6 Feb
Longitudinal research and
                                     Longitudinal modelling                      26-27 Feb

                                     Introduction to systematic reviews
                                                                                 18-19 Mar
Research synthesis for               and meta-analysis
policy and practice
                                     Methods for synthesis                       2-3 Apr

                                     Part 1                                      8-9 May
Evaluation Methods and
Economic Appraisal
                                     Part 2                                      22-23 May

                                      Sampling design & practice                  2-3 June
Sampling design and data
                                      Data collection survey methods              26-27 June

* The pre-statistics course is not compulsory for all students and is not covered in the core course fees
for the MSc. However, many students will need to attend this course in order to be able to successfully
complete the other statistical courses. It has been designed to prepare students for the ‘Statistical
Analysis’ and the ‘Sampling Design and Survey Data Collection’ modules by allowing them to familiarise
themselves with the principles underlying statistical thinking and practice and the practical
considerations behind different statistical concepts. Students will be advised after application whether
they need to take this course.

10. Taught Modules
       Pre-statistics course*

Compulsory modules

       Introduction
       Research for government
       Statistical analysis
       Experimental and quasi-experimental design
       Research synthesis for policy and practice

Optional modules

       Sampling design and survey data collection
       Qualitative research and analysis
       Evaluation methods and economic appraisal
       Longitudinal research and analysis

(No credits)
Commissioning and Managing Social Research

Provide students with the skills required to contract and manage research for
government in accordance with UK and EU procurement legislation and in a
fashion than ensures the quality and timeliness of the research and its value
for money.

1. Provide an understanding of the key components of managing research for
2. Provide an overview of UK and EU procurement rules.
3. Provide a detailed understanding of the elements associated with good quality
   research specification and management.
4. Provide an overview of project management techniques.
5. Provide an overview of risk management.

Ethics: Issues, procedures and practice
To increase the awareness of ethical issues amongst GSR members in terms of
conducting, commissioning and managing social research and to ensure GSR
members are aware of the processes and procedures that can be used to manage
ethical risk.

* This is not compulsory. Please read the summary attached to this course.

1. Examine the competing ethical issues associated with research participants,
   research peers, research customers and society at large.
2. Critically consider the ethical issues associated with government social research.
3. Examine current practice within government and beyond.
4. Examine the procedures that can be used to manage ethical risk.
5. Ensure awareness of the GSR Professional Guidance document on ethics.

Research for government
(15 credits)
Aims of the module
    To critically examine the role of evidence-based policy making;
    to explore the policy-research relationship and understand the inherent
     responsibilities and constraints;
    to understand the wider role of research and analysis in government decision
     making and to critically evaluate how it works in practice;

Intended learning outcomes
After successful completion of the course, students will:
     have a critical understanding of the theory and practice of using research and
      analysis in policy and delivery in a government context;
     understand their role and their responsibilities in the research-policy
      relationship and know what guidance and support is available.

Pre-statistics course
The pre-statistics course is not compulsory for all students and is not covered in the
core course fees for the MSc. However, many students will need to attend this
course in order to be able to successfully complete the other statistical courses. It
has been designed to prepare students for the ‘Statistical Analysis’ and the
‘Sampling Design and Survey Data Collection’ modules by allowing them to
familiarise themselves with the principles underlying statistical thinking and practice
and the practical considerations behind different statistical concepts. Students will
be advised after application whether they need to take this course.
Aims of module
    review the most commonly-used descriptive statistics for summarising survey
     data: arithmetic mean, proportion/percentage, median, mode, percentile, range,
     variance, standard deviation
    learn about the Normal distribution and understand its importance in survey
     data analysis
    critically evaluate data presented in simple tables
    familiarise with the concepts of: sampling distribution, sampling error, standard
     error, margin of error, variance, bias, levels of measurement
    understand the distinction between random non-random methods of selecting a

    appreciate the importance of confidence intervals when generalising data from
     the sample to the population
    learn how to calculate confidence intervals for means, proportions and
    identify and understand common errors when using simple statistics
    review basic algebra
    introduce and familiarise students to one of the main statistical packages for
     data analysis in social sciences, SPSS.

Intended Learning Outcomes
After successful completion of this module students will be comfortable with the
following concepts:
     survey process and levels of measurement
     basic descriptive statistics
     normal distribution
     estimation based on random (probability) samples
     sampling distribution, sampling error and bias
     margin of error and standard error
     confidence intervals for means/proportions and differences
     basic algebra
     Use of SPSS statistical analysis package.

Statistical Analysis
(30 credits)
Aims of module
    To develop a practical understanding of the methods of modelling relationships
     between variables
    To understand which tests of significance are appropriate and how to carry
     them out
    To learn about Analysis of Variance, Covariance and Correlation
    To understand the principles and assumptions of regression-based analysis
     methods such as Linear, Logistic and Multinomial Logistic Regression
    To study the impact of violating analysis assumptions, their diagnosis and
    To understand and practice the use of non-regression based analysis methods
     such as Principal Component Analysis and Factor Analysis
    To learn the principles of Cluster Analysis methods

Intended Learning Outcomes
After successful completion of this module students will be able to:
     select methods of data analysis appropriate to their data and research
     carry out a range of analyses using SPSS: t-test, chi-square, analysis of
      variance, correlation, linear, logistic & multinomial logistic regression, principal
      component analysis and factor analysis.

       diagnose whether the assumptions have been adhered to in the analyses
        covered, discuss the potential impact on the results and propose solutions to
        any problems that may have arisen
       critically evaluate the data analysis methods proposed or undertaken in a given
       ensure interpretation of data analysis findings is done correctly and be able to
        defend the interpretation

Experimental and quasi-experimental design
(15 credits)
Aims of module
       to develop a better understanding of experimental and quasi-experimental
       to develop a better understanding of the use of experimental and quasi-
        experimental methods in government research and evaluation
       to appreciate the strengths and limitations of experimental and quasi-
        experimental methods of research and evaluation
       to appreciate the relationship between experimental and quasi-experimental
        designs and other methods of research and evaluation
       to learn to write experimental and quasi-experimental research designs.

Intended Learning Outcomes

After successful completion of this Module, students will be able to:
     understand the main elements of carrying out a randomised control trial
     understand the principles on which four main types of quasi experimental
       design are based
     interpret the outcome and results of experimental and quasi-experimental
       research and its quality
     know when it is appropriate to use such research designs in government

Research synthesis for policy and practice
(30 credits)
Aims of module
       to develop a critical understanding of the principles and practice of research
       to develop a protocol for a question-led systematic review
       Develop conceptual frameworks and inclusion criteria for reviews
       Search for evidence and map systematically the available evidence
       Critically appraise primary studies
       Plan and appraise statistical analysis for systematic reviews, meta-analysis and
        other forms of synthesis
       Test for heterogeneity and homogeneity in primary studies
       Apply principles of data extraction for systematic reviews

    Use databases and other systems for managing a review
    Analyse and present data for a systematic review
    Plan methods to assure the quality of the systematic review process
    Be able to identify different types of systematic review including conceptual
    Evaluate the role played by systematic reviews within evidence-informed
     decision-making in policy and practice.

Intended Learning Outcomes
After successful completion of this course students will:
   Have a critical understanding of the purpose of systematic research synthesis
      and its relevance to evidence informed policy and practice;
   Be able to identify a diversity of approaches to synthesis along with principles
      and decision points central to all;
   Be able to develop a protocol for a systematic review to include a review
      question, conceptual framework, methods for searching, screening, describing,
      appraising and synthesizing studies, and a strategy for communication and
   Be able to draft a plan for accessing tools and other resources for managing a
      systematic review;
   Have explored the potential for systematic approaches for their work.

Sampling design and survey data collection
(30 credits)
Aims of module
    to appreciate the importance of probability sample designs in terms of both
      practical and statistical considerations
    learn the concepts of stratification, oversampling, clustering and multistage
    to understand the ways in which survey design affects accuracy of estimation
    to carry out basic calculations for sample size determination
    to acquire a practical understanding of the rationale of weighting for differential
      selection probabilities as well as non-response
    to be familiar the implications of sampling and weighting when analysing and
      presenting survey data
    provide students with an understanding of different forms of data collection and
      data collection techniques and provide an understanding of the different
      methods of survey data collection that can be used to answer key policy
    provide an understanding of the techniques used in quantitative data collection
      in order to ensure good quality, robust data.

Intended Learning Outcomes
After successful completion of this module students will be able to:
   critically evaluate the sampling methods proposed or undertaken for a given

    comment on the appropriate sample size needed for a particular survey
    understand weighting, its rationale, application and implications in survey
     analysis and reporting
    design probability samples including stratified, boost, clustered and multi-stage
    choose appropriate software to estimate standard errors for complex survey
     designs including the analysis of weighted survey data.
    to develop a better understanding of the differences between qualitative and
     quantitative data, and their relative strengths and weaknesses
    to introduce computer-assisted methods of data collection (including CASI,
     CAPI, CATI, online data collection), as well as more traditional postal-data
     collection and paper and pencil techniques
    to understand how to obtain high quality data, high response rates, low
     measurement errors
    to develop an understanding of survey questionnaire design
    to understand how surveys vary if they are longitudinal data collection
    to understand the issues around data linking, whereby data from a number of
     different sources are linked to provide a more comprehensive picture.

Qualitative research and analysis
(30 credits)
Aims of module
    to understand the principles and practices of a range of approaches to
     qualitative research and evaluation
    to understand how the use of qualitative research can be incorporated in
     government research and evaluation, and other policy contexts
    to appreciate the strengths and limitations of qualitative research and
     evaluation, and critically evaluate work of this kind
    to appreciate the relationship between qualitative and quantitative approaches
     to research and evaluation
    to develop the skills and understandings required to commission and interpret
     research involving qualitative data collection and analysis
    to appreciate key ethical and political issues in the conduct and dissemination
     of qualitative research and evaluation.

Intended Learning Outcomes
After successful completion of this course students will be able to:
   understand the theoretical and methodological basis of a range of approaches
      to qualitative research and evaluation, and how this affects the design and
      conduct of research and the analysis of data
   assess the strengths and limitations of qualitative research and evaluation in
      order to use that knowledge in the design, commissioning, application and
      dissemination of policy relevant research
   assess when to use qualitative as opposed to quantitative methods, and when
      to combine approaches

    evaluate and analyse qualitative research studies in a critical and informed
    commission a project that appropriately uses qualitative methods and conforms
     to contemporary ethical and other standards
    understand how to carry out a qualitative evaluation of policy initiatives.

Evaluation methods and economic appraisal
(30 credits)
Aims of module
    to develop the student’s understanding of how to design and undertake a
     quantitative impact evaluation and carry out an economic appraisal of a policy
    to develop students’ understanding of how evaluation methods can be used to
     assess the impact of policy interventions on outcomes of interest and identify
     causal effects
    to enable students to critically apply their understanding of evaluation and
     economic appraisal methods to policy evaluation questions in a variety of fields,
     including education.

Intended Learning Outcomes
On completion of the module students should be able to:
  understand the concepts and methods required to quantifying the causal impact
     of a policy intervention or ‘treatment’ on outcomes of interest
  understand the strengths and weakness of the different evaluation approaches
     and have a clear sense of what methods are appropriate (and inappropriate) for
     analysing the causal impact of policy interventions
  apply the different evaluation methods learnt in the course to real data using
     the econometric software package – STATA (students will not be assessed on
     this outcome)
  design a quantitative policy evaluation that relies on appropriate evaluation
     methods, with a clear understanding of what the evaluation will and will not be
     able to identify in terms of causal effect
  critically assess the strengths and weakness of previous policy evaluations.

Longitudinal research and analysis
(30 credits)
Aims of module
    to develop students’ understanding of the evaluation problem and the role of
     longitudinal research
    to develop students’ understanding of how longitudinal data may be used to
     model the impact of policy interventions and uncover causal effects
    to develop students’ understanding of the ways of designing longitudinal
    to enable students to apply their understanding of longitudinal data to practical
     policy problems in a variety of fields, including education and crime.

Intended Learning Outcomes
After studying the module you should be able to:
   design an evaluation using longitudinal data
   apply the different methods of longitudinal analysis covered in the course
   critically evaluate others’ use of these methods
   understand the different ways of designing a longitudinal survey and which are
      appropriate to particular data collection needs
   conduct valid statistical analysis of longitudinal models using specified data and
      software packages (e.g.SPSS)
   critically analyse research studies and policy evaluations that have used
      longitudinal data.

11. Location
The courses for the MSc will be held at either:

       HM Treasury, 1 Horse Guards Road, SW1A 2HQ
       Institute of Education, 20 Bedford Way, London WC1H 0AL.

A number of previous students have successfully taken the MSc while based
in a government organisation outside London. Please contact GSRU [GSR-] if you would like to discuss participating in
the course from outside London.

12. Time commitment
The MSc has to be completed within two years.

Permission to extend the period of registration for the degree beyond two
years has to be sought and granted from the Institute of Education.1 You
would need to apply in writing to the IOE's Course Leader (
Permission shall only be given in the case of illness, other serious or severe
circumstances or on compassionate grounds; workload pressures shall not be
deemed an acceptable reason for requesting an extension.

Each module within the degree will comprise two courses of between two and
three days. You will therefore be required to undertake a total of 24-26 days
formal training. This should be spread over the two years. All courses will
take place during normal working hours.

In addition you will be required to study in your own time. For most people
this equates to 5 to 10 hours per week. Please be aware of this time
commitment before you commence the course. It is a large commitment
and should not be taken lightly.

 The regulations of the Institute of Education do not allow students to spend more than four
years completing this Master’s degree.

13. Fees
The course fee for registering in 2007/2008 will be £5,000, to be paid in two
instalments by your Department. The first instalment should be for £2,500
and this will be payable on registration in year one, with the balance paid at
registration in year two.

The IOE will issue you with an invoice once you have registered. On receipt
of the invoice you should arrange within your department for this to be paid as
soon as possible. Your department may wish to make separate
arrangements with you about fee contributions.

If you need to re-sit the assessment of any module you will be required to pay
an additional fee of £100 per module.

If you leave the Civil Service during your period of studies you would be
allowed to complete the degree provided that you guarantee an alternative
source of funding.

If students do not complete their degree within the two years, there may be
additional charges for tuition. There will be no additional charges in the
following circumstances:

    Where students have completed all of the required Modules up to 150
     credits, but have one or more coursework assignments outstanding at
     the end of two years and their assignments are handed in to an agreed
     new timetable in the following year.
    Where students have received all the supervision for their Report but
     have not handed it in, but do so to a new agreed timetable in the
     following year.

Additional charges can be expected in the following circumstances:

    Where students have registered to attend a Module and failed to attend
     so have not completed the required modules by the end of two years.
    Where students have not completed their Report within two years and
     need supervision in order to complete it in the following year.

14. Assessment
All taught modules will be assessed by course work assignment. There are
no examinations.

The degree will be awarded following successful completion of the approved
set of modules amounting to a total of 180 credits.

The Institute of Education’s regulations allow students who gain 120 credits to
leave the degree course with a Postgraduate Diploma, and for 90 credits, a
Postgraduate Certificate qualification. However, the expectation and
associated costs are that students will complete the 180 credits and leave
with an MSc degree.

The Institute of Education is responsible for the assessment of the degree
programme, including drawing up and marking the assessments and
establishing the Board of Examiners and appointing an external examiner.

The rules and regulations concerning course work assignments and their
assessment are detailed in the student handbook which you will receive at the
beginning of the academic year.

15. Studying at the Institute of Education
You will be a member of the Institute of Education's Doctoral School and the
Faculty of Policy and Society.

The Faculty of Policy and Society is one of the Institute of Education's three
faculties with approximately 150 academic, research and support staff. The
Centre for Longitudinal Analysis, along with staff from the Department of
Quantitative Social Science, have over recent years provided the teaching for
the Institute's Doctoral School courses in statistics, multivariate analyses and
survey methods which contribute to the ESRC-recognised Masters in
Research Methods and a Doctoral programme in research methods training.

The Department of Quantitative Social Science is responsible for course
leadership for an MA and MSc in the Economics of Education and a module
on Quantitative Evaluation Methodology. Staff also assist with courses run
from other Schools in the Institute. There are approximately 12 doctoral
students registered in these two departments, covering a range of ESRC-
funded studentships and charity-funded studentships.

The Institute of Education’s Faculty of Policy and Society hosts a number
major Research Centre groupings which will be relevant for students: the
ESRC Resource Centre for Longitudinal Studies (CLS), the DCSF-funded
Research Centre on the Wider Benefits of Learning (WBL), the DCSF-funded
Centre for the Economics of Education (CEE), and the DIUS-funded National
Research and Development Centre for Adult Literacy and Numeracy (NRDC).

Research activities are multidisciplinary and focus principally on longitudinal
studies and especially the British Birth Cohort Studies. These research
resources track individuals over time to support study of progress in
education, health, employment, skills, relationships, family formation, attitudes
etc. CLS is concerned with statistical methods and with the application of the
evidence to a number of policy issues. Analyses of these longitudinal data
have made substantial contributions to policy debates in the past and are
likely to continue to do so.

16. Student Information
Once you have successfully registered with the Institute of Education for the
MSc degree you shall have access to the same resources as other registered
MSc students at the IOE. This will be indicated in the student handbook for
the degree, which will be issued to you following registration.

For this course, students will need a copy of SPSS software in order to
complete some assignments. Copies of SPSS software are available for
students to purchase from IOE and install on their own PCs for a small

Information Services (IS) at the Institute of Education offers extensive support
to Institute staff and students. The IOE librarians and computing staff provide
a wide range of services, and advice and training are available on the use of
all IOE facilities and resources through face-to-face induction sessions, online
self-study materials, a library enquiry desk and a computing help desk.

Find out about current services and resources on the IOE website at

The Institute library has the largest collection in Europe of books and
periodicals on educational studies. It contains over 300,000 volumes and has
files of nearly 2,000 periodicals from all over the world.

Supplementing these collections are electronic journals, full text electronic
books and other documents, and research databases, most of which are
available on the internet. Other services include standard borrowing, short
loan, reference, enquiry, Interlibrary Loan, postal loan, postal photocopy
delivery and self-service photocopying. IOE expert staff provide a range of
courses to support the development of your IT and information skills.

You are able to use many other university libraries through IOE’s participation
in various co-operative access and borrowing schemes: full details are on the
IOE website. Applications to use the University of London Library should be
made at the library enquiry desk.

Information Services has up-to-date audiovisual and reprographic facilities, as
well as a dedicated working space in which you can prepare learning and
teaching resources in a variety of media formats.

You will have access to PC and Mac computers for personal study both in
Information Services and throughout the Institute. Some computers are
situated in rooms that are also used for teaching; in these cases, timetables
indicating when rooms are booked for teaching are displayed outside the
rooms and near the computing help desk. At very busy times a booking
system for individual machines may be introduced, but outside these times
you are welcome to use the computers as you need.

You will have access to word-processing and other software that can
incorporate multi-lingual character sets, data management and analysis tools
and presentation software. Fast internet access is freely available to all
registered students via the Institute of Education network.

GSRU has also successfully negotiated a contract with CSA Illumina for
online access to key social research databases, listed below. These are
available on your desktop in GSR subscribing departments and are delivered
mainly through departmental intranets through departmental libraries.

The databases available are:

ASSIA: references for books and journal articles on health, social services,
psychology, sociology, economics, politics, race relations and education.

Econlit: references for books and journal articles on economic issues.

ERIC: national information system funded by the U.S. Department of
Education's Institute of Education Sciences.

NCJRS: abstracts 170,000 criminal justice publications

PAIS: references to international public policy materials

Sociological Abstracts: abstracts and indexes the international literature in
sociology and related disciplines.

Social Services Abstracts: covers social work, human services, and related
areas, including social welfare, social policy, and community development.

This will be an invaluable resource when researching for assignments.

GSRU’s Magenta Book: Guidance notes for Policy Evaluation and Analysis
(available from will also assist you in your studies.

17. Quality assurance
The course of study for the degree and the modules comprising the degree
programme are approved by the Research Degrees Programme Board and
Senate of the Institute of Education.

The degree programme is subject to the Institute of Education’s quality
assurance procedures, including regular evaluation of the modules by the
students, an annual course review and a termly course committee meeting
including student representation. Quality assurance arrangements shall be
overseen by the Faculty of Policy and Society on behalf of the Institute, and
reported on to the relevant Programme Area Board.

18. Progression
Any student who successfully completes the MSc in Policy Analysis and
Evaluation shall be eligible to be considered for admission to a doctoral
programme at the Institute of Education, subject to the normal entrance

19. Application for the MSc in Policy Analysis
and Evaluation
Admissions procedures adhere to the policies and procedures of the Institute
of Education and the University of London.

All potential students will be required to complete the GSRU and Institute of
Education application form.

When considering applications, provided that you meet the entry
requirements, GSRU and the Institute of Education will favour early
applications and will also try to ensure that the selected students come from a
range of different Departments.

In the event that your application was unsuccessful you will receive feedback
and advice.

The closing date for applications is 08 August 2008.


Once a student is accepted into this degree course, they will need to fill in a
Registration Form. This Form requires that a further photograph be submitted
which is used to provide each student with a personalised Library Card.
Further details will be supplied on acceptance.

20. How to apply
More information on eligibility criteria and the process for applying can be
found in the rest of this Prospectus, which you will want to read before
completing the application form.

If you would like to discuss your eligibility for admission, you are welcome to
contact the Course Leader, Professor Shirley Dex ( or for
government related matters, GSRU

Completion and submission of applications

Applications will be accepted until the closing date of 08 August 2008.
Unfortunately, we are not able to consider applications after this date. Early
applications will be favoured, so please apply early if possible.

Please submit your application, labelled ‘MSc in Policy Analysis and
Evaluation 2008 entry’ to:

Magdalen Meade (
Faculty of Policy and Society
Institute of Education
20 Bedford Way
London WC1H OAL

Please remember:

1. Both your line manager and head of unit will need to sign your application
   to declare they have approved the application

2. The funding of your studies needs to be agreed before application: you will
   need to supply the name, address and telephone number of a person to
   whom invoices for course fees should be sent (usually someone in your
   Finance Unit of your department)

3. You need to complete all 7 sections of the application form

4. You need to attach a passport-sized photo to the application form

5. Please complete the equal opportunities monitoring form and submit this
   with your application.

Disabled students

Disabled students are welcomed and will be admitted on the same academic
criteria and under the same procedures as other students. However, students
are asked to bring their disability to the attention of GSRU and the Institute of
Education when making their application. This will assist us in making
appropriate provision where necessary.

Should you require assistance in completing the application forms please
contact the IOE’s Disability Co-ordinator who can arrange for this. A copy of
the document 'A Guide to Policy and Provision for Disabled Students' can be
obtained from the IOE’s Disability Support Office. Telephone 020 7612 6641
or email

Timing and progress of application

Applications need to be received by 08 August 2008. Once received,
notification of receipt will be sent out immediately. The application is then
referred to admission tutors for consideration, who will then contact you if
further information is required. We aim to make all decisions as quickly as
possible, and reply to your application within one calendar month of receipt of
the application.

Please note, we are unable to process applications unless all the information
on the application form is complete, including confirmation that funding has
been agreed for ALL of the course fees.

Statistical information

The IOE and GSRU are committed to implementing an equal opportunities
policy on admissions. In order to do this, the ethnic origin and disabilities of
all applicants for higher degree courses are monitored. To assist us in this
task, it would be very helpful if you would complete.

Please return the equal opportunities form with your application.

                                                        PLEASE ATTACH
                                                            A RECENT
                                                         PASSPORT SIZE

Please return the completed application form to: Magdalen Meade ( plus post hard copy

Application for Admission to MSc in Policy Analysis and Evaluation
Please read the Prospectus and application guidance before completing this form.

1. Applicant’s Details
NAME                                                                                 Title:

ADDRESS (for correspondence)                                                         Telephone:


HOME ADDRESS (if different)                                                          Telephone:


   Date of birth                  Nationality                Country of birth          Country of domicile       Previous name

Day    Month     Year

2. Academic and professional qualifications obtained / to be obtained
a) University degrees or other academic qualifications

  University/College         Degree      Hons or       Class/             Subject(s)              Dates of      Full /       Date of
    and name of                           Pass        Division        (give full details of      attendance     part-        Award
   awarding body                                                      options if relevant)     (month & year)   time

b) Other qualifications, including professional qualifications, relevant to this application

                   Name of awarding body                                               Name of Award                     Date of Award

3. Employment
Details of present or most recent employment, and of former posts (continue on a separate sheet if necessary)

         Dates                 Name and address of              Telephone                 Nature of work and position held
         From                     organisation
  From           To

4. Declarations by line manager and Head of Unit

                       LINE MANAGER                                                         HEAD OF UNIT

I declare that the above named applicant has my approval           I declare that the above named applicant has my
to undertake the MSc in Policy Analysis and Evaluation             approval to undertake the MSc in Policy Analysis and
under the terms outlined in the course prospectus, and has         Evaluation under the terms outlined in the course
Departmental funding.                                              prospectus, and has Departmental funding.

Signature:                                                         Signature:

Full name:                                                         Full name:
Civil Service Grade:                                               Civil Service Grade:
Address:                                                           Address:

5. Finance
Name and address of the person(s) to whom Institute of Education should invoice for the course fees.
Full name:

6. Declaration by applicant
I declare the information given above to be correct, and agree, if admitted to the degree programme, to comply with regulations of
the University of London and of the Institute of Education.

Signature:                                                            Date:

7. Additional information
Have you made any previous/other applications for admission to a Higher Degree Course at the IOE? (give details and dates)

How did you hear about the MSc in Policy Analysis and Evaluation?

                                           EQUAL OPPORTUNITIES
            The Institute of Education is committed to equal opportunities for all. It aims to ensure that no
            present or prospective student or member of staff receives less favourable treatment than
            another on grounds of any condition or status not directly affecting study or work. To help us
            monitor the operation of this policy the IOE record certain information about applicants for
            admission to IOE courses. We should therefore be very grateful if you would answer the
            following questions:



            Course                 MSc POLICY ANALYSIS AND EVALUATION

            Please answer the questions below by placing a ‘’ in the appropriate box.

            Gender:              Male             Female

Ethnicity: What is your ethnic group?

 11              White British                                     33           Bangladeshi or Asian British Bangladeshi
 12              White Irish                                       34           Chinese
 13              White Scottish                                    39           Asian other
 19              With other                                        41           White and Black Caribbean
 21              Black Caribbean or Black British-Caribbean        42           White and Black African
 22              Black African or Black British-African            43           White and Asian
 29              Black other                                       49           Other mixed background
 31              Indian or Asian-British Indian                    80           Other ethnic background
 32              Pakistani or Asian British-Pakistani

            If you have ticked box 49 or 80 above, please specify your ethnic origin:

Disability, special needs or medical conditions

            Any information provided in this section will be held by IOE Registry staff. If you wish
            it to be released to other staff, please tick this box

            Do you consider yourself to have a disability? If so, please indicate the nature of the disability
            by ticking the appropriate box.

            00            No disability                           06         Mental health difficulties
            01            Specific learning disabilities          07         Unseen disability (e.g. diabetes,
                                                                             epilepsy, asthma)
            02            Visually impaired/blind                 08         Multiple disabilities
            03            Hearing impairment/deaf                 09         Other disability, special need or
                                                                             medical condition not listed
            04            Mobility difficulties/wheelchair        10         Autistic spectrum

Please provide further details about your condition overleaf, if you wish.


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