10:45am - 5pm
Wednesday 6 June - Thursday 7 June 2018

ATLAS.ti 8 Introductory Training

This two day workshop provides a comprehensive overview of ATLAS.ti and an opportunity for participants to practice tasks using their own data.

Department of Sociology, University of Surrey, Stag Hill Campus, Guildford, GU2 7XH
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This two day workshop provides a comprehensive overview of ATLAS.ti and an opportunity for participants to practice tasks using their own data. 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
  • Individual Support – time for participants to discuss their projects with the Tutor

During the first day 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. 

During the second day participants set up their own ATLAS.ti project and work with their own project materials. The first part of the day focusses on translating the tasks covered in day one into practice. Individuals and teams work independently, with support from the tutor. The remainder of the day focuses on experimenting with more sophisticated uses of tools. Possibilities and implications are discussed, demonstrated and practiced.

Participants are encouraged to bring their own research materials to work with (this could include transcribed primary data, literature files, reports pertinent to the project, etc.), although sample materials can also be provided.

Please note: This is an ATLAS.ti 8 for Windows course. Participants using version 7 or the Mac version are welcome to attend but the main part of the course will cover the functions available for the Windows version 8.

Course overview

  • Principles of using ATLAS.ti
  • Data preparation, import and organisation
  • Data exploration and familiarisation
  • Coding strategies – including appropriate uses of auto-coding
  • Use of writing and visualisation tools to reflect on data and processes
  • Querying and outputting

Learning outcomes

  • 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.
  • Know where to access relevant resources to support continued ATLAS.ti use.

Course leader

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.

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.

Level of study 

Entry (no or almost no prior knowledge).


Varies according to status:

  • £390 - Government/commercial sector
  • £300 - Educational/charitable sector 
  • £220 - Students


Preparatory Reading

Participants are requested to read the ATLAS.ti 7 review before attending this course


Tea and coffee will be provided during breaks (lunch is not provided).