Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. The ...

In fall 2021, Princeton’s Empirical Studies of Conflict Project (ESOC), with support from the School of Public and International Affairs (SPIA) and the Data-Driven Social Science Initiative, launched ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Director Diego Klabjan shares the reasons for renaming the MSiA program the Master of Science in Machine Learning and Data Science program Ten years ago, Northwestern Engineering's Master of Science ...

The programs listed below are just a few opportunities of many for students who are interested in data science. We encourage students to search Handshake and Idealist for more opportunities and to ...

"I've had an enticing experience at UB while pursuing my masters in data science. The entire course structure is well organized to be completed in one year. The professors and TAs are supportive and ...

In order to maintain a strong, diverse and substantial pool of applicants, our tuition rate is designed to make us competitive, especially with our peer institutions. While many students complete the ...

With over 60 affiliated faculty representing more than 20 departments, students in the M.S. program in data science have the opportunity to discover alongside leaders of industry and find their voice ...

This initiative will create the Center for Environmental Data Science to leverage existing ESF resources to address institutional weaknesses, and to be responsive to emergent data science themes being ...

The ability to deeply analyze large and complex data sets is, and will continue to be, a valuable skill in industry, government and nonprofit sectors. The volume of data being collected and needing ...