Duke University Social Science Research Institute SSRI Information Initiative at Duke IID
Why Interdisciplinary Data Science?
The Duke University Master in Interdisciplinary Data Science (MIDS) is home for creative problem-solvers who want to use data strategically to advance society. We are cultivating a new type of quantitative thought leader who uses disruptive computational strategies to generate innovation and new insights.
MIDS combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.
You want to use data to advance the industry or field you are most passionate about.
Data scientists who have proficiency in diverse ways of thinking and deep content expertise innovate most effectively.
Data analysis and creative engineering need to be integrated with nuanced domain knowledge, collaborative leadership, and effective management skills to harness data’s full potential.
There has never been a better time to be a data scientist at Duke, and I'm delighted to be able to partner with departments to deliver the interdisciplinary curriculum that's a Duke signature.
I'm thrilled about the network of partnerships around the university that will distinguish this degree as one that allows students to take data science into many different domains.