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.

In 2010, the total amount of data generated globally was two zettabytes. By 2025, the amount of data generated is expected to exceed 200 zettabytes. To put these numbers in perspective, if one byte of ...

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 ...

This interdisciplinary program moved from the Graduate School to the College of Engineering and Applied Science on July 1 The Master of Science in Data Science (MS-DS) program has moved to the College ...

Drexel's College of Computing & Informatics' Post-Baccalaureate/Graduate Certificate in Machine Learning for Data Science provides students with knowledge of advanced approaches to data analysis.

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 ...

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...

Each master’s student on the Thesis Plan must secure a Thesis Advisor (Advisor), and a Graduate Committee. The Graduate Committee (Advisory-Examining Committee), chosen in communication between the ...

The College of Agriculture and Natural Resources' graduate programs, which include both funded and self-paying, are characterized by individualized advising, engaging coursework, and faculty who are ...