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Level
Level: IntroductorySoftware
Member rate £572.50
Non-Member rate £1,145.00
Early bird discount available until 14 December 2026.
Save £45.00 Loyalty discount applied automatically*
Save 5% on each additional course booked
* If you attended a qualifying previous Methods School in 2026, you qualify for £45.00 off your course fee.
Date: Monday 15 – Friday 19 February 2027
Time: 09:30 – 12:30 CET
andreas@muellermixedmethods.com
This interactive course uses advanced pedagogical tools and is designed for master's-level students and above. It runs as three-hour live sessions on Zoom over five days, with course materials and pre-course readings available on our Learning Management System at least two weeks before the start. Office hours are also available for one-to-one consultations on your own project.
The course is limited to 18 participants, ensuring that the teaching team can address the individual needs of each participant.
Learn how to conduct your own research project using MAXQDA, a software for analysing qualitative data. The course features highly interactive live teaching sessions combined with try-at-home exercises. The course is designed for researchers who are planning or currently conducting their own research project using qualitative data such as interviews, transcripts, speeches, or various types of documents. The course not only teaches the basics of using the software, but also provides guidance on the various steps 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 ground by learning the basics of MAXQDA and coding in qualitative research. The four subsequent sessions will advance the research project by teaching more advanced coding techniques (Day 2), integrating metadata (Day 3), including multimedia data (Day 4), and finally analysing the data with visual tools and AI support (Day 5).
The try-at-home exercise will give you choices on how to proceed with your own project and will be picked up with further instructions based on your needs. On the final day, we will revisit the simulated research projects and discuss their results and progress.
Participants are strongly encouraged to bring their own data to this course. For the first day, common example data will be provided. On the following days, participants will benefit most from using their own data, especially for the "try at home" exercises.
General introduction to MAXQDA
Advanced coding techniques
Integrating metadata into your project
Including and analysing multimedia data
Analysing data with visual tools and AI support
For extra credits you have to hand in a report or short results chapter that makes use of the skills learned during the course. This can already be a part of your thesis! (15–20 pages)
The course is designed at a beginner level. No previous knowledge of MAXQDA is required.
You need to install MAXQDA before the course. If you do not have a licence, you can use the course licence.
No readings before the course. Set up MAXQDA on your device.
The course includes three hours of live teaching each day for five days, alongside readings and other learning activities.
Once you have registered and paid, you will receive access to our Learning Management System (LMS) approximately two weeks before the course start date. Course materials, including pre-course readings, will be available here. Allow approximately 20 hours per week before the course to review the materials and complete readings and any pre-course tasks.
During the course week, you should allow approximately two to three hours per day for preparation and assignments, in addition to the live teaching sessions.
The course offers the opportunity to earn three ECTS credits. To earn a fourth credit, you will need to complete a post-course assignment involving approximately 25 hours of work.
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 prerequisite items. If in doubt, please contact us before registering.