Managing and Analyzing Data in Social Science

Managing and Analyzing Data in Social Science

Course dates:
5 August, 2024 to 23 August, 2024
EU/EEA citizens 6375 DKK/Non-EU/EEA citizens 11400 DKK
Fee advantages:
Full fee
Engineering & Sciences
Application deadline:
Monday, 1 April, 2024
University of Copenhagen
Copenhagen, Denmark

General information

Are you feeling the constraints of excel spreadsheets? The amount of data available is increasing dramatically. In your future career as well as doing your Master thesis will require you to handle and extract information from large quantities of data. We have designed this hands-on course to equip you to meet the data challenges ahead.

You will be introduced to concepts, terminology and methods relevant to handling data and spatial information in R and QGIS. At course end, you will have a toolbox of scripts enabling you to optimise data management procedures by looping through data and using vector oriented iterative processes. You will work in R studio writing and debugging code for merging datasets, data cleaning and coding of different types of variables as well as overlaying spatial layers.

You will also be introduced to basic procedures for testing hypothesis. This includes tabulating basic statistical measures, the specification of regression models and interpreting and visualising results. Throughout the course, the focus will be on making the data handling process transparent and reflecting on the implications of data management choices and choice of statistical approach in relation to validity and reliability of the results of the analysis and good scientific practice.

The course aims to develop students’ skills to conduct own data management and analysis through hands-on work is groups. The last week of the course will be independent (supervised) group project work with empirical datasets.

The course uses the free statistical software package R and the geographical information software Q-GIS.    

Don’t be a slave to the spreadsheet. Join our course and become part of an ever-increasing vibrant community using the object-oriented programing environment R as their playground.


Please note that the summer courses are non-residential. Participants are responsible for finding and funding accommodation during their stay in Copenhagen.

You can use different online portals to search for accommodation, such as:

Hostel World

UCPH Housing Foundation (acceptance letter from UCPH required).


ECTS accreditation

Master level

7,5 ECTS