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Data science is the discipline that deals with collecting, preparing, managing, analysing, interpreting and visualising large and complex datasets. Data scientists can be found working in diverse scientific areas such as astrophysics, particle physics, biology, meteorology, medicine, finance, healthcare and social sciences.

Discover more about the DSI's long term plans: download our Strategy of DSI 2016-2021

 

Introducing the Data Science Institute

Data science is therefore by nature at the core of all modern transdisciplinary scientific activities, as it involves the whole life cycle of data, from acquisition and exploration to analysis and communication of the results. Data science is not only concerned with the tools and methods to obtain, manage and analyse data: it is also about extracting value from data and translating it from asset to product.

Launched on 1st April 2014, the Data Science Institute at Imperial College London aims to enhance Imperial's excellence in data-driven research across its faculties by fulfilling the following objectives.

Our objectives

  • To act as a focal point for coordinating data science research at Imperial College through stimulating cross-disciplinary collaboration. 
  • To train and educate the new generation of data scientists.
  • To develop data management and analysis technologies and services for supporting data driven research. 
  • To enable the translation of data science innovation by close collaboration with partners including industry and the public sector, and supporting commercialisation.
  • To promote the data science and its applications to the general public and to influence policy makers. 

If you are interested in working with us, please check our vacancies and other ways to get involved, or feel free to contact us.

Download our promotional booklet about the Data Science Institute (2.4MB).