Geometric Data Analysis

7.5 credits

Syllabus, Master's level, 4UK099

Education cycle
Second cycle
Main field(s) of study and in-depth level
Sociology of Education A1N
Grading system
Fail (U), Pass (G), Pass with distinction (VG)
Finalised by
The Department Board, 9 November 2017
Responsible department
Department of Education

General provisions

The course is part of the Master's Programme in Sociology of Education. The course can also be offered as an elective course.

Entry requirements

Bachelor's degree corresponding to at least 180 credits, including at least 90 credits from disciplines pertaining to social sciences or the humanities.

Learning outcomes

The course provides a general introduction to the mathematical basics of geometrical data analysis and an understanding of how these methods can be applied to studies in the social sciences and the humanities

After completion of the course students should be able to

  • explain and present basic mathematical premises for geometric data analysis
  • use statistical software for geometric data analysis
  • carry out geometric data analyses based on empirical data
  • critically analyse to what studies geometric data analysis can be applied and in what ways geometric data analysis can be best used in specific examples


  • Basic mathematical premises for geometric data analysis
  • Application of geometric data analysis
  • Geometric data analysis in social sciences and humanities


The course consists of lectures in mathematics and sociology and working sessions.


The assessment is based on a written assignment which presents a geometric data analysis based on empirical data.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.