M9 - Getting Started with NVivo for Qualitative Data Analysis

Type of Course - Dates - Venue - Description - Schedule - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Fees - Enrol

Type of course

This is an on online course.


Thursday February 10, 2022, from 9 am to 12.45 pm and from 2 pm to 5 pm.
Please note: The deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Recognition) is January 10, 2022.




 NVivo is a widely used computer assisted qualitative data analysis software package which provides a potentially useful tool for the management and analysis of qualitative research data. This course is intended as a basic introduction to using NVivo for qualitative data analysis. Whether you are completely new to NVivo or have some previous experience with it, you will find this course both useful and enjoyable. This course blends lectures with hands-on exercises which allows you to try out the tools you've seen in the class under guidance.

What you will learn:

At the end of this course you will master the core functionalities to apply the latest version of NVivo (1.0) to your project, including:

  • Import - Creating a research project and importing different data formats such as Word documents, PDFs, webpages, audio, video and images into NVivo; classifying data files and managing their classifications
  • Organize - Organizing codes, code text and create codes; apply coding stripes and highlights; use cases with classification and attributes; make annotations and memos, create sets and links to files
  • Explore - Exploring lexical queries, word frequency and text search; apply code and matrix queries; illustrate with visualizations such as mind maps, concept maps, and coding matrix charts; coordinate team work by applying coding comparison

Not included in this course:

  • Theoretical framework of qualitative data analysis - Although this course will introduce some basic concepts of qualitative data analysis it is not a systematic review of the different theories.
  • Advanced qualitative methodologies - This course covers only the most salient features of NVivo and does not teach how to analyse qualitative data according to specific qualitative methods or designs, such as thematic analysis, grounded theory, content analysis, discourse analysis etc.


It is advised to bring your own laptop to class. NVivo 1.0 is accessible remotely via UGent software platform Athena. Alternatively you can download the NVivo 14-day free trial for Windows and Mac via this link: https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/try-nvivo

Target audience

 Young researchers and data analysts who are new to qualitative research and curious about NVivo.


There is no exam connected to this module. Participants receive a certificate of attendance via e-mail at the end of the course.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this 'transferable skills seminar' in your Doctoral Training Program (DTP) and get a refund of the registration fee from your Doctoral School (DS) you need to follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Registration) for this course is January 10, 2022. Please note that opening a dossier does not mean that you are enrolled. You still need to enrol via the registration form on this site.

Course prerequisites

There are no course prerequisites for this course.


Foto Limin LiuDr. Limin Liu is a postdoc researcher at the Center for Statistics at Ghent University. She studied social work and sociology in Beijing and Berlin where she has accumulated several years of research experience in the field of sociology of eduction, social mobility and stratification. Upon her empirical research experience, she achieved a Master in Statistical Data Analysis at Ghent University. Since 2019, she has joined the team of statisticians and focused on both qualitative and quantitative research methods.

Course material

 The course materials, e.g. lecture slides, sample project and sample data will be made available one day in advance. It is recommended to download all files before the course starts.

Further resources:


Different prices apply, depending on your main type of employment.

Employment Module 9
Industry/Private sector1 240
Non-profit, government, higher education staff2 180
(Doctoral) students, retired, unemployed2 80

1 If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment.

2 UGent staff and UGent doctoral students who pay internally via SAP or internal transfer can participate at these special rates.

Enrol for this course