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Description
This module provides students with a fundamental understanding of various statistical and geospatial techniques crucial for analysing data in a humanitarian context. Students will engage in hands-on application of these skills by analysing quantitative social data collected from surveys and geospatial data derived from satellite imagery and vector data sources.
Upon completion of the module, students will have gained a foundational knowledge of introductory statistics, geographic information systems (GIS) and remote sensing. They will be equipped to visualise results effectively using maps, charts, and graphs and communicate statistical and geospatial outcomes with competence. The module incorporates industry-standard software for data analysis, ensuring students are familiar with tools used in professional settings.
The teaching approach of the module is multi-faceted, including class lectures that lay the theoretical groundwork, practical problem-solving sessions, and extensive computer-based lab work. This combination ensures that students understand the theoretical aspects of the subject and also develop practical skills that are essential in the field of humanitarian work.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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