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Introduction to Qualitative Methods A

Course Code: PUBLG004A

Course Tutor: Dr Alexandra Hartman (Department of Political Science)

Assessment: One 3,000 word research design paper

Credit Value: 15

About this course

This course is designed to introduce you to and help you become familiar with data science which is critical to your development as a social scientist. The introductory course has two primary aims. First, students will be introduced to statistical models that researchers and policymakers use in answering social, political and economic questions. Second, the course will equip students to use one or more of the discussed techniques in their MSc dissertation.

By the end of the course, students should be able to understand the quantitative tools employed in political, social, and economic research; to perform data analysis using statistical software R and interpret results; and to fruitfully employ data science techniques in their dissertation research and in subsequent careers. 

This module (or the Advanced Quantitative Methods module) is required of all students pursuing an MSc from the School of Public Policy, including degrees in Democracy and Democratisation, European Public Policy, Global Governance and Ethics, International Public Policy, Public Policy, and Security Studies.

The assessment for this course is a multiple choice midterm exam and an eight-hour prior disclosure exam which will be completed in the last week of the term.

The main textbook for the module is

  • Stock, James H., and Mark W. Watson.  2014.  Introduction to Econometrics.  London: Pearson.

Before you take this module

You should complete the following:

You should also download and install the latest version of RStudio ( and R ( on your computer. 

*Please note that this module is only available to SPP students. Students taking this course are not permitted to take PUBLG105 Advanced Qualitative Methods.

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School of Public Policy,
The Rubin Building,
29/31 Tavistock Square,
London, WC1H 9QU.
Tel: +44 (0)20 7679 4999,
Fax: +44 (0)20 7679 4978,

Postgraduate enquiries

Tel: +44 (0)20 7679 4982/4950

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Page last modified on 09 aug 16 10:49

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