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 ...

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 ...

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 ...

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

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.

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 ...

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 ...

Drexel's College of Computing & Informatics' Post-Baccalaureate/Graduate Certificate in Data Science Foundations is designed for professionals of all backgrounds who would like to learn how to manage ...

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 ...

Yes! Students will attend two orientations: one is hosted by the School of Engineering and Applied Sciences for ALL new graduate students, and the second is a program-specific orientation that is ...