Introduction to ATLAS.ti for qualitative and mixed-methods analysis (Online)

Key information

Start date:
11 July 2024
Attendance dates:

11 July 2024

Distance learning
Contact details:


ATLAS.ti is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data.

This one day course provides a comprehensive overview of ATLAS.ti and an opportunity for participants to practice tasks using sample. The focus is on gaining confidence in setting up a project efficiently, managing and organising data, exploring and conceptualising data and interrogating and visualising data.

The course combines discussion, demonstration and hands-on work, including:

  • Contextual discussions – developmental, methodological and analytical principles
  • Software Overview –interface, architecture, tools
  • Analytic Planning – ensuring analytic strategies drive the appropriate use of software tools
  • Guided Instruction – step-by-step teaching in the operation of ATLAS.ti and the use of tools for analytic tasks

During the course sample data are used in order to become familiar with tools, and the whole group follows common tasks together and practices exercises individually. Work is structured to provide step-by-step support.

Please note: The tutor will demonstrate using  ATLAS.ti 23 Desktop  for Windows. Participants using version 23 or its or its predecessor version 22 for Windows or Mac are welcome to attend but the main part of the course will cover the functions available for the Windows version 23. For information about products see the ATLAS.ti website

What you will need to attend

This course is delivered online using Zoom. In order to attend you will need a computer (Mac or Windows) that has access to the internet, and a microphone (inbuilt or external). We encourage participants to share their image using a webcam to foster dialogue and interaction, but this is not a requirement.

You will need ATLAS.ti 23 (or version 22) installed and working on your computer ahead of the session to get the most out of the workshop. If you do not currently have access to the software, the joining instructions to the course will provide details on how to access a free trial, which has no time limit, but does have limited functionality.

Learning outcomes

By the end of the course participants will be able to:

  • Understand the structure of ATLAS.ti and how it can be used throughout a research project.
  • Navigate around the software and operate it to undertake analysis.
  • Understand the importance of analytic planning in harnessing ATLAS.ti tools powerfully.
  • Set-up an ATLAS.ti project to reflect initial research design and change structures as a research project progresses.
  • Identify ATLAS.ti tools that can be used to fulfil specific analytic tasks, including documents, codes, memos, quotations, maps and interrogation tools.
  • Know where to access relevant resources to support continued ATLAS.ti use.

Course content

  • Introduction to ATLAS.ti’s components
  • Tips for data preparation, transcription, import and organisation
  • Data exploration and familiarisation
  • Coding strategies – inductive, deductive approaches; manual and automated approaches.
  • Organising materials to factual characteristics such as socio-demographics to facilitate interrogation.
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting.

Learning and teaching methods

  • Presentations
  • Demonstrations
  • Guided hands-on exercises
  • Independent hands-on work. 

Course leader

Dr Sarah Bulloch

Teaching Fellow

Dr Sarah Bulloch has been using and teaching CAQDAS packages for many years and is an experienced researcher. She has undertaken quantitative, qualitative and mixed methods research using dedicated software and has worked in academic and applied settings.

Reading list

There is no required pre-course reading. However, the following might be helpful resources with your further work with ATLAS.ti:

  • Silver, C., & Lewins, A. (2014). Using software in qualitative research: A step-by-step guide (2nd ed.). Thousand Oaks, CA: Sage.
  • Woolf, N. H., & Silver, C. (2018). Qualitative analysis with ATLAS.ti: The Five-Level QDA method. NY: Routledge.

Entry requirements

This course assumes participants have a broad understanding of qualitative and/or mixed methods methodologies, but assumes no prior knowledge about ATLAS.ti.

Fees and funding

Price per person:


UGPN student discount


Students (all non-UGPN)


UGPN staff discount


Education and charitable sector applicants


Government and commercial sector applicants

Funding opportunities

Participants applying for either UGPN discount will need to use their University email address to be eligible.

  • North Carolina (NC) State University:  
  • University of Sāo Paulo (USP): 
  • University of Wollongong: 
  • University of Surrey:

All staff and students at any of the above institutions are now eligible for the UGPN discount as part of UGPN.

How to apply

Applications will be through our online store.

Apply now

Terms and conditions

When you accept an offer of a place at the University of Surrey, you are agreeing to comply with our policies and regulations and our terms and conditions. You are also confirming you have read and understood the University's prospective student privacy notice.

Further details of our terms and conditions will follow.


This online prospectus has been prepared and published in advance of the commencement of the course. The University of Surrey has used its reasonable efforts to ensure that the information is accurate at the time of publishing, but changes (for example to course content or additional costs) may occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for a course with us. Read the full disclaimer.

Course location and contact details

Campus location

Stag Hill

Stag Hill is the University's main campus and where the majority of our courses are taught. 

Nita Walker Administrative Officer, Short Courses

University of Surrey
Surrey GU2 7XH