School of Computer Science

Data Science and Machine Learning


Data Science generates actionable knowledge from any kind of data. It covers the full pipeline from collecting, preparing, and storing the data, to analysing it, presenting the results, and turning them into actions. Machine Learning provides the essential bits in the middle of this pipeline, the algorithms that analyse the data and produce patterns and predictions.

Members (academic staff or PhD students):

Academic staff: 

Damir AzharMichael BarleyRemco BouckaertGill DobbieYun Sing Koh (Director), Sebastian LinkPatricia RiddleJim WarrenIan WatsonGeorgy Gimel'farbPatrice Delmas, Jörg Simon Wicker,  Aniket MahantiKaiqi ZhaoNinh PhamKaterina Taskova

PhD students:

Ian Wong, Alex Peng,  Diana Benavides Prado, Monica Bian, Robert Anderson, Danah Algawiaz

More information:

Courses in data science

Knowledge Management group