GESIS Training

Summer School in Survey Methodology

We are currently working on the 2021 program, to be published in spring. 

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Every August since 2012, the GESIS Summer School in Survey Methodology usually takes place at GESIS in Cologne, Germany. Lecturers and participants from all over the world and from many different fields come to Cologne to take part in Europe's leading summer school on survey methodology, research design, and data collection – recommended by the European Survey Research Association (ESRA). Due to the global Covid-19 pandemic, the GESIS Summer School takes place online in 2020 and 2021.

Impressions from the Summer School


Why attend the GESIS Summer School?

At the GESIS Summer School in Survey Methodology you will

  • receive high quality training in state-of-the-art techniques and methods of survey research;
  • find courses that equip you with essential skills in how to design, plan, conduct, and document all kinds of surveys;
  • find courses that teach you how to analyze survey data;
  • find both courses that give a broad overview of survey methods and courses that intensively discuss special interest topics in survey research;
  • meet new people from different fields and from all over the world to network and discuss your research with.
Should you be unsure which course is the right one for you, please do not hesitate to contact us. We are happy to assist you!

Who should attend the GESIS Summer School?

The GESIS Summer School is made for you if you are an advanced graduate or PhD student, a post-doc, junior researcher, or survey professional from any relevant field, who:

  • is interested in improving their general knowledge and skills in survey methodology;
  • is planning to run their own survey or is working for a large-scale survey project;
  • wants to update their methodological expertise in specific areas of survey methodology;
  • wishes to engage in methodological research with survey data;
  • wants to better understand processes of data collection;
  • wants to learn how to assess data quality;
  • wants to learn how to properly analyze survey data.


Each course has specific prerequisites, which will be detailed on the course websites [link zum CRM]. In addition, all participants are expected to:

  • have basic knowledge of empirical research methods;
  • have a good command of English.