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Member rate 2,713.79 zł
Non-Member rate 5,427.58 zł
Save 221.03 zł Loyalty discount applied automatically*
Save 5% on each additional course booked
* If you attended a qualifying previous Methods School in 2025 or 2026, you qualify for 221.03 zł off your course fee.
Jagiellonian University: 8 – 11 September
Online: 14 – 15 September, 09:00 – 12:30 CEST
andreas@muellermixedmethods.com
You will learn how to conduct your own research project using MAXQDA, a software package for analysing qualitative data. The course features highly interactive live teaching sessions combined with try‑at‑home exercises. It is designed for researchers who are planning or currently conducting a project using qualitative data such as interviews, transcripts, speeches, or various types of documents. The course not only introduces the basics of using the software, but also provides guidance on the various stages of the research process.
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment.
Andreas Müller has been working as a professional trainer for qualitative data analysis software such as MAXQDA and ATLAS.ti for over 8 years. As a research and methods coach, he is experienced in a wide range of qualitative methods including grounded theory, content analysis and thematic analysis. Andreas works with clients from a wide range of academic disciplines, from healthcare to education to business, and specialises in the analysis of qualitative text, video and mixed methods data.
This course follows the logic of simulating an entire research project. In the first sessions, we will establish a common foundation by learning the basics of MAXQDA and the principles of coding in qualitative research. The four subsequent sessions will advance the research project by introducing more advanced coding techniques (Day 2), integrating metadata (Day 3), incorporating multimedia data (Day 4), and finally analysing the data using visual tools and AI support (Day 5).
The try‑at‑home exercises will offer options for how to proceed with your own project, and further instructions will be tailored to your needs. On the final day, we will revisit the simulated research projects and discuss your results and progress.
You are strongly encouraged to bring your own data to the course. On the first day, common example data will be provided. During the remaining sessions, you will benefit most from working with your own material, particularly for the try‑at‑home exercises.
The course is structured into five live sessions, each lasting 3 hours. The first three sessions will take place from Tuesday 8 – Thursday 10 September at Jagiellonian University. The remaining two sessions will take place on Monday 14 – Tuesday 15 September, online. You must attend all sessions to complete the course.
The sessions combine live instruction with interactive exercises. In addition, there will be voluntary try-at-home exercises between sessions. These exercises allow you to try out the techniques you have learnt on your own data and discuss your findings and challenges in the next class. Literature for additional reading is provided but not required to complete the course.
The instructor will also conduct Q&A sessions and offer designated office hours for one-to-one consultations.
The course is designed at a beginner level. No previous knowledge of MAXQDA is required.
You should expect approximately 24 hours of total engagement, including:
This course introduces you to the wide range of functions of MAXQDA24, a software for the analysis of qualitative data. This is an introductory course which doesn't require prior knowledge of the software, although a basic familiarity with qualitative research methods, particularly the process of 'coding' is highly beneficial.
You will get the most out of the course if you bring your own data in the form of Word or PDF files, but multimedia files can also be included in the course. You will need to bring your own laptop (Windows or MAC) to follow the course. A software license is provided for the duration of the course.
As a participant in this course, you will engage in a variety of learning activities designed to deepen your understanding and mastery of the subject matter. While the cornerstone of your learning experience will be the in person teaching sessions, which total three hours each day across the five days of the course, your learning commitment extends beyond these sessions.
Upon payment and registration for the course, you will gain access to our Learning Management System (LMS) approximately two weeks before the course start date. Here, you will have access to course materials such as pre-course readings. The time commitment required to familiarise yourself with the content and complete any pre-course tasks is estimated to be approximately 20 hours per week, 40 hours in total, leading up to the start date.
During the course week, you are expected to dedicate approximately two-three hours per day to prepare and work on assignments.
Each course offers the opportunity to be awarded three ECTS credits. Should you wish to earn a 4th credit, you will need to complete a post-course assignment, which will involve approximately 25 hours of work.
This comprehensive approach ensures that you not only attend the live sessions but also engage deeply with the course material, participate actively, and complete assessments to solidify your learning.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.