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MSc in Policy Analysis and Evaluation: Prospectus


10. 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:


Introduction

Commissioning and Managing Social Research

5-6 March

Ethics: Issues, procedures and practice

7 March

Introductory Statistics Course

Review of statistical concepts and methods

18-19 September

Statistical analysis 

Methods of data analysis

8-9, 22 Oct

Further multivariate data analysis

10, 11, 21 Jan

Qualitative research and analysis 

Theory, methodology and politics: qualitative research as evidence for policy

8-9 Nov

Qualitative methods and technologies for policy evaluation

21-22 Nov

Experimental & quasi-experimental design

Experimental & quasi experimental evaluation

27-29 November

Research and research management for government

Research for government

12-13 Dec

Longitudinal research and analysis

Longitudinal analysis

5-6 Feb

Longitudinal modelling

26-27 Feb

Research synthesis for policy and practice 

Introduction to systematic reviews and meta-analysis

18-19 Mar

Methods for synthesis

2-3 Apr

Evaluation Methods and Economic Appraisal

Part 1

8-9 May

Part 2

22-23 May

Sampling design and data collection

Sampling design & practice

2-3 June

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.

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