Here below you can find all master courses the University Centre offers. All courses are taught in 1-3 week modules running from August through June. See how the courses are organised in the teaching schedule for both programs. Usually 2-3 courses are taught at the same time, but students may only enroll in one course at a time.

The master courses are available to you whether you plan to pursue a degree or just take a course or courses. Please review the options for guest studies to determine how you can apply.

For further information, contact the Administrative Director of Education and Teaching.

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Data analysis and interpretation

  • Spring 2025
  • Next course: 20. January - 07. February 2025
  • CMM/CRD Elective Course | 6 ECTS
  • Course:CRD2506
Learning outcome

About the course

The purpose of this course is to provide students with the basic requirements and tools for analysing quantitative and qualitative survey research. This course builds on real life examples from the field of Coastal Studies and students conduct a small research project, which includes data analysis and interpretation of the results. During the qualitative segment of the course, a broad range of statistical methods using the R environment are covered, including descriptive statistics, common parametric and nonparametric statistical tests, regression analysis and generalized linear models. During the qualitative segment of the course, the analysis of interviews and texts is covered, introducing the software MAXQDA. Fundamental concepts of research, such as validity and reliability, and the importance of data visualization (tables and figures) are discussed. Students conduct a small research project, which includes data analysis and interpretation of the results.

Instructors

Learning outcome

On completion of the course a student:

  • can evaluate qualitative and quantitative data in order to apply and discuss findings.
  • can apply a broad range of statistical methods.
  • can analyse interviews and texts with relevant tools.
  • can plot data and create meaningful graphs in a format that is publishable.
  • can interpret and discuss results from qualitative and quantitative data analysis.

 

Prerequisites: No prerequisites registered for the course

Assessment: 100% written assignments

Final Exam: Assignment

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