The Biomedical and Health Informatics PhD program prepares individuals to develop and apply informatics theories and tools to solve complex problems across the life sciences and health ecosystem. The ...

Faculty from three colleges and six PhD programs will mentor DataSENSE trainees, sharing their expertise in data science, machine learning, computer vision, geological engineering, environmental ...

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 ...

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 ...

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 ...

Welcome to the Data Science Graduate Program at Michigan Technological University. The Data Science program is an interdisciplinary program, meaning the faculty and courses for the program comes from ...

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

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.

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 Master of Engineering with Applied Data Science program—administered through the university's Department of Materials Science and Engineering —expands on the curriculum found within our Master of ...