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Introduction to NVivo for Qualitative and Mixed-Methods Analysis University of Surrey

Highlights
Tuition fee
255 GBP / year
255 GBP / year
Unknown
Tuition fee
255 GBP / year
255 GBP / year
Unknown
Duration
3 days
Duration
3 days
Apply date
Anytime
Anytime
Unknown
Apply date
Anytime
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

The Introduction to NVivo for Qualitative and Mixed-Methods Analysis course offered by University of Surrey develops expertise in qualitative data management, coding techniques, analytical workflows, data visualization, and research software applications.

Overview

This Introduction to NVivo for Qualitative and Mixed-Methods Analysis course offered by University of Surrey provides a comprehensive introduction to NVivo for qualitative and mixed-methods research. Participants learn how to efficiently set up projects, organise and manage data, explore research materials, develop analytical structures, and use software tools to support rigorous qualitative analysis. The course combines discussions, demonstrations, guided instruction, and practical exercises to build confidence in using NVivo across different stages of a research project.

Key Facts

Using sample datasets and optionally their own research materials, participants gain hands-on experience with project creation, data preparation, coding strategies, queries, visualisation techniques, attribute management, memos, and analytical planning. The programme also explores automated and AI-supported features within NVivo, alongside methods for interrogating, interpreting, and presenting qualitative findings. Individual support is provided to help participants apply NVivo tools to their own research contexts.

Programme Structure

Courses include:

  • NVivo Interface and Project Structure
  • Data Preparation and Transcription
  • Data Import and Organisation
  • Qualitative Data Exploration
  • Coding Strategies (Inductive and Deductive)
  • Manual and Automated Coding
  • Literature Review Coding
  • Attributes and Socio-Demographic Data Management

Key information

Duration

  • Part-time
    • 3 days

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Guildford, United Kingdom

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • No prior knowledge is necessary.

    You are encouraged to bring your own laptop with the software installed (a link to a 2-week free trial version will be sent to those who register), but you do not need to do so, as the training venue has Windows machines with the software installed on them. If you will NOT bring your own laptop, please let the organisers know by emailing 

    You may also like to bring your own research materials with which to work on the second day (e.g. literature files (PDFs are fine), transcripts of interviews/focus-groups, social media content, open-ended survey responses, documentary evidence, visual materials (still images, videos) etc.).

Technological requirements

You are encouraged to bring your own laptop with the software installed (a link to a 2-week free trial version will be sent to those who register)

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    255 GBP / year
    ≈ 255 GBP / year
  • Domestic

    Citizens or residents
    255 GBP / year
    ≈ 255 GBP / year

Additional Details

UGPN student: £191

Students (all non-UGPN): £255

UGPN staff: £264

Education and charitable sector applicants: £310

Government and commercial sector applicants: £435

Funding

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