Expand your knowledge of everything from predictive analytics and data science fundamentals to cloud-based computing environments and health information systems with Michigan Tech's data science ...

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 ...

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.

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.

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

Purdue’s Foundations of Data Science Graduate Certificate gives students the opportunity to learn in-demand data science skills in less time than a traditional master’s degree – making fast career ...

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 ...

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 ...

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 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 ...