GIS: Geographical Information System for the Social Sciences

Education facts

Code: SGER43

<p>Gain a solid grounding in Geographical Information System (GIS) by combining theoretical insights with hands-on spatial analysis and learn how geographic information can enrich research within the social sciences. </p><p>This course offers a comprehensive introduction to GIS as a research tool within the social sciences. You study how GIS has developed as a field, explore influential theoretical debates and learn key concepts that guide the use of geographic information in academic research. </p><p>The course introduces you to a wide range of geographic data types, including remotely sensed data, and familiarises you with central analytical functions used in GIS. Through lectures, seminars and readings you gain an understanding of both the principles that underpin GIS and the practical considerations that shape its application in contemporary research. </p><p>You also explore how GIS can be used across different thematic areas, with particular emphasis on issues within the social sciences. This allows you to connect spatial data with broader analytical frameworks and to reflect on how geographic information can support critical inquiry in your field. </p><p>Throughout the course you are introduced to key concepts, and current research. During laboratory sessions you will be given hands-on experience with both basic and advanced GIS methods - applied on a wide and varied source material. </p>

Entry requirements

At least 150 credits, including a Bachelor thesis in a discipline in social sciences, economics and management, social science-oriented disciplines in humanities, or another corresponding educational background. English course 6/B.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• GIS: Geographical Information System for the Social Sciences

  Lund University

  Lund

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 100 %