Table of contents

The course is connected to the following study programs

Teaching language

English

Prerequisites

Admitted to a PhD-program.

PhD students are expected to use data from their own research projects during the course.

In addition

  • EX-606 Researching Health and Sport Sciences: Philosophical and Methodological Foundations, or equivalent
  • ME-618 Qualitative Research Methods, or equivalent

Learning outcomes

On successful completion of the course, the candidate:

Knowledge

  • will have in-depth knowledge of selected qualitative analysis methodologies and their procedures
  • can evaluate the application and appropriateness of relevant qualitative analysis methods in relation to a research project
  • will understand the relation between data collection and analysis in qualitative research
  • can evaluate and communicate the theoretical and methodological grounds of their qualitative analysis

Skills

  • can carry out qualitative analysis involving rigorous and systematic strategies
  • can handle complex methodological issues and challenges in conducting qualitative analysis
  • can analyze the broader context of the research project
  • can reflect on the qualitative research process, particularly the analysis and the use of assisted software and AI

General competences

  • can identify and conduct relevant qualitative analysis methods for research projects
  • can critically evaluate both their own and others' qualitative analyses
  • can communicate and report the findings of qualitative analysis at a high scientific standard

Contents

The course will offer an advanced level of qualitative analysis, including rigorous and systematic strategies. A central aspect of the qualitative analysis process is the researcher's reflexivity, either individually or within a team. Use of assisted software and AI in qualitative analysis. PhD students are expected to utilize their own data for qualitative analysis throughout the course. The course will focus on thematic analysis, situational analysis, narrative analysis, and interpretative phenomenological analysis.

Teaching and learning methods

This course will be taught over four days (with an optional follow-up session) and will involve working on own data analysis and writing an essay. The teaching and learning methods will consist of a combination of lectures, group work, discussions, and presentations based on preliminary qualitative analysis of the student’s own ongoing research work.

Examination requirements

Each PhD student must submit an essay draft to the course coordinator. Participation in compulsory lectures, groups, workshops, discussions, and presentations as stated in the course pamphlet.

Examinations

The final assignment is an individual written essay. The essay will focus on a self-chosen qualitative analysis related to the course content.

The assignment will be graded as pass or fail.

Student evaluation

Digital student evaluation

Offered as a free-standing course

Yes

Admission Requirement if given as a free-standing course

Admitted to a PhD-program

Other information

Contact person: Jan Georg Friesinger
Last updated from FS (Felles studentsystem) Oct. 15, 2026 8:34:40 AM