UCL Institute for Risk & Disaster Reduction


IRDR0004 - Data Analysis and Interpretation for Risk and Disaster Reduction

Module Tutor: Katerina Stavrianaki

Module code: IRDR0004, 15 credits

Department: IRDR

This module aims to equip students with tools for analyzing qualitative, quantitative and spatial data relating to risk and disaster reduction and public health emergencies including interviews, surveys and mapping.

As a student on this module you will learn basic statistical methods for survey design, and statistical and qualitative techniques for data analysis. You will gain hands-on programming experience in order to equip you with the tools to conduct independent research and analysis work in risk and disaster reduction. This will include analyzing data using an example programming language. Additional computing skills will be gained through an introduction to Geographical Information Systems (GIS) which provides both scientific and practical knowledge of industry-standard software used to analyse geographical data.

Through lectures, seminars, class discussions and computer exercises featuring examples relating to disaster risk reduction, you will learn:

Planning and designing data collection

  • Introduction to statistics
  • Statistical distributions
  • Samples and Populations

Qualitative data analysis

  • Deconstructing responses to surveys, interviews and questionnaires 

Quantitative data analysis

  • Probabilities
  • Hypothesis testing (parametric and non-parametric)
  • Linear Regression 

Introduction to Programming

  • Programming for practical data analysis
  • Introduction to machine-learning and data science

Spatial data analysis through GIS (Geographical Information Systems)

  •  Scientific and practical knowledge of industry-standard software used to analyse geographical data