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Qualitative Data Analysis Using MAXQDA

By Dr. Sanjay Singh   |   Indian Institute of Management, Sirmaur
Learners enrolled: 84

The course begins with an in-depth exploration of the basic principles of qualitative research, including its philosophical foundations, research design strategies, ethical considerations, and techniques for ensuring research quality. From Week 2 onward, participants are introduced to MAXQDA, where they learn to create projects, import and organize diverse data types, and perform essential data management tasks. The subsequent modules guide learners through the core processes of qualitative analysis using MAXQDA. Participants develop skills in audio/video transcription, a range of coding techniques (from basic to advanced), qualitative data visualization, and handling both survey and focus group data. Key tools such as memos, code systems, and querying functions are covered in depth to support robust qualitative analysis. 


The course places particular emphasis on developing learners' competence in advanced qualitative analysis by addressing topics for which authentic learning resources are often limited. These include thematic analysis, conducting literature reviews using MAXQDA, grounded theory development, and social network analysis, among others. Learners are also introduced to mixed methods integration and content analysis using MAXDictio, with guidance on combining qualitative and quantitative techniques for comprehensive mixed-method research. Additionally, the course covers AI-assisted data analysis and the management of collaborative research projects using MAXQDA. Participants learn to work in teams, manage version control, and critically assess the strengths and limitations of automated coding and thematic pattern recognition through MAXQDA’s AI Assist module. Each week features an opening case or problem scenario, interactive video lectures, and a short quiz to reinforce learning. By the end of the course, learners will not only be equipped to conduct rigorous qualitative analysis but would also gain sufficient confidence in applying MAXQDA to real-world research projects.


Summary
Course Status : Upcoming
Course Type : Core
Language for course content : English
Duration : 12 weeks
Category :
  • Marketing
Credit Points : 3
Level : Undergraduate/Postgraduate
Start Date : 12 Jan 2026
End Date : 30 Apr 2026
Enrollment Ends : 28 Feb 2026
Exam Date :
Translation Languages : English
NCrF Level   : 6.5
Industry Details : Retail and E-Commerce

Page Visits



Course layout

Week 1: Basics of Qualitative Research

Week 2:  Introduction to MAXQDA- Project Setup, Importing & Organizing Data

Week 3: Transcribing Audio and Video Files in MAXQDA

Week 4: Coding in MAXQDA- Basic and Advanced Coding Techniques

Week 5: Analyzing Survey Data in MAXQDA

Week 6: Analyzing Focus Group Data in MAXQDA

Week 7: Qualitative Data Visualization in MAXQDA

Week 8: Thematic Analysis in MAXQDA 

Week 9: Grounded Theory Development in MAXQDA

Week 10:  Social Data Analysis in MAXQDA

Week 11: Qualitative Content Analysis Using MAXDictio

Week 12: Team Collaboration & Working with MAXQDA AI Assist

Books and references

  • Dr. Prasanna Chandra, Finance Sense: Finance for Non-finance Executives, 6th Edition, McGraw Hill
  • Myers, M. D. (2019). Qualitative research in business and management. London: Sage Publications.
  • Rädiker, S., & Gizzi, M. C. (2024). The practice of qualitative data analysis: Research examples using MAXQDA. Berlin: MAXQDA Press.
  • Kuckartz, U., & Rädiker, S. (2019). Analyzing qualitative data with MAXQDA: Text, audio, and video. Cham: Springer.
  • Corbin, J. M. (1997). Grounded theory in practice. New Delhi: Sage Publications.
  • Creswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research (2nd ed.). London: Sage Publications.
  • Denzin, N. K., Lincoln, Y. S., Giardina, M. D., & Cannella, G. S. (2024). The SAGE handbook of qualitative research (6th ed.). London: Sage Publications.
  • Hackley, C. (2023). Qualitative research in marketing and management: Doing interpretive research projects (3rd ed.). New York: Routledge.
  • Saldaña, J. (2009). The coding manual for qualitative researchers. London: Sage Publications.
  • Symon, G., & Cassell, C. (2012). Qualitative organizational research: Core methods and current challenges. London: Sage Publications.

Instructor bio

Dr. Sanjay Singh

Indian Institute of Management, Sirmaur

Dr. Sanjay Singh is a faculty in the Organizational Behaviour and Human Resource Management area at the Indian Institute of Management Sirmaur. He received his Master’s Degree in Psychology (with a specialization in Organizational Behviour) and Ph.D. from the University of Delhi. He has been a recipient of the Erasmus-Mundus WILLPower Fellowship (2010-11), awarded by the European Union.


Dr. Singh has actively trained at reputed organizations like Ernst & Young, Mercer, DRDO, and PowerGrid, among others. His research articles have appeared in prestigious journals like the Journal of Happiness Studies, IIMB Management Review, Sex Roles, Innovation: The European Journal of Social Science Research, among others. Dr. Singh has over seven years of experience teaching the Organizational Behaviour course in a business school set up and was recognized as Professor of the Year (2021) by the InsideIIM.

Course certificate

Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centres. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee of Rs.750/-. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.

 

Grading Components:

 

Internal Assignment Score: This contributes 25% to the final grade. It is calculated based on the average of the best 5 out of 10 assignments submitted during the course.

 

Proctored Final Exam Score: This contributes 75% to the final grade and is based on the proctored final exam, which is scored out of 100.

 

Overall Course Score: The overall course score is the weighted sum of the internal assignment score and the proctored final exam score.

 

Assessment Type

Weightage

Weekend Assessment

25%

Final Exam

75%

 

Eligibility for Certification:

 

To qualify for the course certificate, you must meet both of the following criteria:

 

  • Average Assignment Score ≥ 10/25
  • Final Exam Score ≥ 30/75

 

If either of these conditions is not met, you will not be eligible for certification, even if your final score is 40 or higher (out of 100).

 

Score

Type of Certificate

>=90

Gold

76 - 89

Silver

61 - 75

Bronze

40 - 60

Successfully Completed

<39

No Certificate

 

Sample Certificate:

Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.

 

The certificate of completion will include your namephotograph, and final exam score, along with a detailed score breakdown.


It will be 
electronically verifiable through the SWAYAM platform at https://swayam.gov.in/. Please note that only an e-certificate will be issued. Printed or hard copies will not be provided.

 

We sincerely appreciate your participation and interest in our online courses and certification programsWishing you continued success and an enriching learning experience with IIM Bangalore.

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