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 ...

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 ...

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 ...

Step into a career in the high-demand field of data science with a Master of Science from the University of Colorado Boulder. Our two-year, interdisciplinary program will prepare you to become a data ...

The Data Science Certification Program by Learnbay provides United States training which prepares early to mid-career professionals for job-ready skills. The pr ...

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 ...

Who is the MS in Economics and Data Science program for? The MS in Economics and Data Science is best for recent graduates or professionals — based in the U.S. or abroad — looking to advance or switch ...

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 ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

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 ...