Course description for 2026/27
Qualitative Analysis
PRO9021
Course description for 2026/27

Qualitative Analysis

PRO9021
The course is a continuation of PRO9020 Design and Method, and prepares the candidate for independent analysis of qualitative data.
Qualitative data can consist of many different types of data. The main goal is to provide the candidate with in-depth knowledge of various theoretical perspectives and principles of qualitative analysis, as well as how data should be summarized, analyzed, and interpreted. The aim is also for the candidate to be able to critically reflect on different approaches to qualitative research. It is recommended that the candidate works with their own research material, with an emphasis on practical training in analysis.

A scientific master's degree of 120 ECTS credits is normally required. Students in the Ph.D. program in professional science are prioritized. The course can also be taken by students in other Ph.D. programs. See here for the ranking regulations.

Additionally, participants must either have a proposal for a Ph.D. dissertation or an outline for a research project that they can use and work on during the course. Maximum 30 study places.

Knowledge

The candidate:

-Is at the forefront of knowledge in qualitative analysis, relevant to their field.

-Can assess the appropriateness and application of various qualitative analysis methods.

Skills

The candidate:

-Can critically evaluate different qualitative analysis methods and, based on this, make methodological choices and conduct analyses related to various qualitative issues.

-Can identify, analyze, and handle complex professional questions, as well as develop new insights through critical challenges to established knowledge and practice in conducting qualitative analysis.

General competence

The candidate:

-Can perform qualitative analysis with professional integrity.

-Can communicate the execution of qualitative analysis in national and international channels.

-Can participate in debates related to qualitative research methods in international forums.

No tuition fees. Cost of course literature apply.
Elective

Teaching spring 2026:

  • Digital classes
  • Week 13: Monday 23 March
  • Week 15: Tuesday 7 April
  • Week 17: Tuesday 21 April
Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer, is considered cheating.
  • OD - Mandatory attendance 80%
  • OP - Group assignment
  • Grades: Pass/Fail

Overlap refers to a similarity between courses with the same content. Therefore, you will receive the following reduction in credits if you have taken the courses listed below:

PRO9013 - Design and Methods - 2.5 credits