Introduction to ATLAS.ti 8

Key information

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Overview

This one-day course provides a comprehensive overview of ATLAS.ti and an opportunity for you to practise tasks using your 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.

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 content

  • Software overview including interface, architecture and tools
  • Developmental, methodological and analytical principles
  • 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
  • Analytic planning ensuring analytic strategies drive the appropriate use of software tools.

Learning and teaching methods

  • Contextual discussions
  • Step-by-step teaching
  • One-to-one tutorials.

Course leader

Christina Silver profile image

Dr Christina Silver

Associate Professor (Teaching), Director of CAQDAS Networking Project

Reading list

You are required to read the ATLAS.ti review (PDF) before attending this course.

Class size

Maximum of 16 people.

Software and equipment

Please bring a USB memory stick.

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

Software background

ATLAS.ti is a powerful tool for managing and analysing qualitative data, including text, video, audio, image and social media content.

Entry requirements

There are no formal entry requirements for this course.

You should have a broad understanding of qualitative and/or mixed methods methodologies.

Fees and funding

Fees are to be confirmed

How to apply

Applications for this course are currently closed.

Register your interest

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.

Disclaimer

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. 

Address

University of Surrey
Guildford
Surrey GU2 7XH