Our courses

This course is designed around the data science lifecycle to show the techniques for handling a data science project. You will be exposed to basic programming skills in Python and learn how to select, clean, analyse, visualise and interpret data.

This course examines how food systems, climate change, and biodiversity are deeply interconnected. Students explore the impacts of intensive agriculture and learn how regenerative and indigenous farming practices can restore ecosystems. Through case studies and interdisciplinary approaches, participants develop solutions for sustainable food systems. The course emphasizes ecological, social, and economic resilience for the future.

This course introduces data as a creative tool in the design process rather than just a way to evaluate outcomes. Students learn how everyday data, personal stories, and lived experiences can generate insights and inspire meaningful design concepts. Through hands-on exploration, data collection, and reflection, participants develop design ideas rooted in real-world context. The course shows how data can guide innovation in fields from healthcare to education.