Learn about the foundations of qualitative research, including key methods and data analysis approaches. You'll explore how Ethical AI tools integrate into qualitative research workflows. You'll also evaluate the benefits and limitations of Ethical AI-enabled qualitative analysis, including issues of bias, validity, and reliability.

Study cases from the creative industry looking at how Ethical AI shapes qualitative research across Architecture, Engineering, and Experience Design contexts. You'll be taken on practical walkthroughs of qualitative data analysis with Ethical AI, including interview coding, thematic analysis, and data synthesis. You'll consider example prompts and tools (e.g., ChatGPT, Claude, NVivo AI, Otter.ai) for their strengths, limitations, and responsible-use considerations.

Investigate the foundations of quantitative research, including key methods and data analysis approaches. Explore how Ethical AI tools integrate into quantitative research workflows. You'll also weigh up the benefits and limitations of Ethical AI-enabled quantitative analysis, including issues of bias, validity, and reliability.

Examine case studies from the creative industry that look at how Ethical AI supports quantitative research across across Architecture, Engineering, and Experience Design contexts. Take practical walkthroughs of quantitative data analysis with Ethical AI, including data cleaning, descriptive and inferential statistics, with highlights of risks such as overfitting, hallucinated outputs, and misinterpreted correlations. You'll also look at example prompts and tools (e.g., ChatGPT, Claude, SPSS with AI plugins, Excel Copilot, Python notebooks with AI assistants) in terms of their strengths, limitations, and responsible-use considerations.