Upcoming Courses

Principles and Practices of Quantitative Data Analysis

Develop a comprehensive understanding of quantitative analysis, from designing robust data collection strategies to applying essential statistical techniques for rigorous analysis.

Generative AI for Qualitative Research

Explore the theoretical, ethical, and practical dimensions of Qualitative-AI, focussing on tools that integrate human interpretation with Generative-AI to enhance your research workflow.

Analysing Survey Data with SPSS

Gain the practical skills to navigate SPSS confidently, from preparing and managing survey datasets to performing and interpreting the essential statistical tests required for robust data analysis.

AI-Assisted Qualitative Data Analysis

Master the ethical and practical integration of Generative-AI tools into your qualitative data analysis workflow to enhance the efficiency, depth, and rigour of your research insights.

Effectively manage your literature review using NVivo

Discover how to use NVivo’s powerful tools to systematically organise, analyse, and synthesise diverse source materials for a more efficient and rigorous literature review or documentary analysis.

Analysing interview and focus group data using NVivo

Develop the practical skills to effectively manage, code, and interrogate your transcripts using NVivo, framed by a methodological approach that ensures your analysis remains rigorous.

Integrating AI into Qualitative Research Appropriately

Evaluate the role of AI in your analysis, learning how to ethically and transparently integrate both traditional and generative-AI tools while maintaining the essential human element of interpretation.

AI-Assisted Qualitative Data Analysis

Master the ethical and practical integration of Generative-AI tools into your qualitative data analysis workflow to enhance the efficiency, depth, and rigour of your research insights.

Integrating AI in the Qualitative Research Workflow

Navigate the complexities of AI-assisted qualitative research by critically exploring its ethics and practical applications, from initial ideation and data collection to analysis and pattern discovery.