The goal of this course is to equip students with the intellectual baggage necessary for the design, execution, and publication of truly excellent qualitative research studies.
Prof. dr. Pursey Heugens
Course Description
The following topics are covered in this course in 4 consecutive weeks: (1a) qualitative “versus” quantitative research; (1b) measurement and operationalization in qualitative research settings; (2a) data collection: interviews, participant observation, textual documents, unobtrusive data, and visual materials; (2b) data analysis: data reduction, causal inference, and qualitative data analysis software (NVivo, Atlas.ti, fs/QCA, et cetera); (3a) ethnography; (3b) grounded theory methods; (4a) case study methods; and (4b) content analytical methods and discourse analysis.
The goal of this course is to equip students with the intellectual baggage necessary for the design, execution, and publication of truly excellent qualitative research studies. The emphasis in this course will be on getting acquainted with: (a) the canonical steps of the qualitative research process in general, and (b) four exemplary qualitative research designs in particular.
Central to this course is that students acquire an advanced understanding of the qualitative research process in general, and of several commonly used qualitative research designs in particular. Students are also expected to get acquainted with and learn how to use qualitative data analysis programs, such as NVivo, Atlas.ti, DICTION, fs/QCA, or MAXQDA. Please registrer via the website of Erim.
The course was formerly known as Introduction to Qualitative Research in Business & Management.
For the course manual please click here.
Study Characteristics
- Study period: November - December 2026 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- This course will be offered in cooperation with the Erasmus Research Institute of Management (ERIM): https://eur.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=BERMMC003&collegejaar=2026&taal=en
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Course Description & Study Characteristics
Course Description
The following topics are covered in this course in 4 consecutive weeks: (1a) qualitative “versus” quantitative research; (1b) measurement and operationalization in qualitative research settings; (2a) data collection: interviews, participant observation, textual documents, unobtrusive data, and visual materials; (2b) data analysis: data reduction, causal inference, and qualitative data analysis software (NVivo, Atlas.ti, fs/QCA, et cetera); (3a) ethnography; (3b) grounded theory methods; (4a) case study methods; and (4b) content analytical methods and discourse analysis.
The goal of this course is to equip students with the intellectual baggage necessary for the design, execution, and publication of truly excellent qualitative research studies. The emphasis in this course will be on getting acquainted with: (a) the canonical steps of the qualitative research process in general, and (b) four exemplary qualitative research designs in particular.Central to this course is that students acquire an advanced understanding of the qualitative research process in general, and of several commonly used qualitative research designs in particular. Students are also expected to get acquainted with and learn how to use qualitative data analysis programs, such as NVivo, Atlas.ti, DICTION, fs/QCA, or MAXQDA. Please registrer via the website of Erim.
The course was formerly known as Introduction to Qualitative Research in Business & Management.
For the course manual please click here.
Study Characteristics
- Study period: November - December 2026 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- This course will be offered in cooperation with the Erasmus Research Institute of Management (ERIM): https://eur.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=BERMMC003&collegejaar=2026&taal=en
Would you like to register or want to know more?
Please register via the website of Erim. For more info please contact the course coordinator prof. dr. Pursey Heugens: