The Educational Data Science program equips you with equity-focused, critical quantitative research methods, applicable in U.S. and global education contexts. You will gain exposure to critical ...

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 ...

The Computational and Data-Enabled Science and Engineering (CDES) PhD program is an interdisciplinary PhD program that integrates the core areas of data science, numerical algorithms, and ...

The University of Colorado Boulder is committed to teaching the next generation of interdisciplinary data scientists. Our Master of Science in Data Science (MS-DS) program focuses on developing ...

It is expected that students seeking enrollment in this program will have sufficient foundational skills and aptitude in computer programming, statistical analysis, information systems, and databases.

Mikeie Reiland is a staff writer for Education at Forbes Advisor. Before coming to Forbes Advisor, he wrote magazine journalism for publications like the Oxford American, Bitter Southerner, and Gravy.

This Handbook is designed to present the most pertinent information on the courses, examinations, and other requirements in our graduate program. The Graduate School ...

Please note that only Graduate School may waive any of the requirements 1 – 3 above and that we do not evaluate any materials sent by email. The only materials we evaluate are from the official ...

The past decade has seen the rise of Data Science, not only as an independent discipline defined by the study of commonalities of data-driven information extraction across domains, but also as a key ...

Advanced sensor technologies, growth in the amount and availability of sensor data, new computational methods, and greater computational power offer fresh approaches to understand and address the ...