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- Select training provider - (Cambridge Research Methods)
Thu 15 Feb, Thu 22 Feb, Thu 29 Feb 2024
10:00 - 13:00

Venue: Titan Teaching Room 1, New Museums Site

Provided by: Cambridge Research Methods


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Thu 15 Feb, Thu 22 Feb, Thu 29 Feb 2024


This course provides an introduction to the management and analysis of qualitative data using Atlas.ti. It is divided between mini-lectures, in which you’ll learn the relevant strategies and techniques, and hands-on live practical sessions, in which you will learn how to analyse qualitative data using the software.

The sessions will introduce participants to the following:

  • consideration of the advantages and limitations of using qualitative analysis software
  • setting-up a research project in Atlas.ti
  • use of Atlas.ti's menus and tool bars
  • importing and organising data
  • starting data analysis using Atlas.ti’s coding tools
  • exploring data using query and visualization tools

Please note: Atlas.ti for Mac will not be covered.

Target audience
  • Postgraduate students and staff
  • Further details regarding eligibility criteria are available here

Number of sessions: 3

# Date Time Venue Trainer
1 Thu 15 Feb   10:00 - 13:00 10:00 - 13:00 Titan Teaching Room 1, New Museums Site map Dr Matthew Sparkes
2 Thu 22 Feb   10:00 - 13:00 10:00 - 13:00 Titan Teaching Room 1, New Museums Site map Dr Matthew Sparkes
3 Thu 29 Feb   10:00 - 13:00 10:00 - 13:00 Titan Teaching Room 1, New Museums Site map Dr Matthew Sparkes

The module is split into three 3-hour sessions, each consisting of mini-lectures and hands-on live practical sessions:

Session 1: Introduction to Atlas.ti and computer assisted qualitative analysis

Session 2: Mapping and interpreting qualitative data using Atlas.ti

Session 3: Advanced features of Atlas.ti and common pitfalls of using it

System requirements

You will need your own personal computer or laptop, with acccess to the internet, and with Atlas.ti software pre-loaded and ready to use. A copy of Atlas software can be obtained from the link below:

Learning Outcomes

This course does not contain a formal assessment but has learning outcomes that are linked to the wider outcomes of the broader programme:

  • describe how Atlas.ti can support qualitative data analysis in a research project and recognise the most common pitfalls
  • construct strategies for analysing data using Atlas.ti
  • perform importation and organisation of data in Atlas.ti
  • perform data analysis using Atlas.ti’s coding, memo and visualisations tools
Module Information

All necessary information about the module can be found on the Moodle page.

How to book

Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).


Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website


Booking / availability