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Home » Research » Data Science in Engineering

Data Science in Engineering

Revolutionary advances in the ability to capture data at massive scales and to extract actionable information have had a transformative impact on the world. Technology has capitalized on these developments to fuel new industries and to reshape society in fundamental ways, accelerating scientific discovery and guiding engineering design across a broad cross-section of application domains.

A water sensor computer chip that measures moisture levels in soil and can be embedded in plant stems for accurate information on water stress, developed by Abraham Stroock, professor of chemical and biomolecular engineering (CBE). (photo by Lindsay France, Cornell University)

Cornell Engineering is uniquely positioned to educate the trans-disciplinary engineers of the future by providing a data science-infused perspective across the engineering landscape for a truly 21st-century education. Additionally, radical collaborations with Cornell Tech, Weill Cornell Medicine, and other colleges will exploit the interplay between data-driven decisions and other disciplines to propel advances in autonomous vehicles, materials discovery, medicine and biomedical devices.

Duffield Hall in the snow with

Photo by Jason Koski, Cornell University.