To apply for the Computational and Data-Enabled Sciences PhD program, students should hold a master's degree in a related field, including but not limited to engineering, computer science, mathematics ...

PhD in Information Science students are required to complete 1 general course, 2 research methods courses, 2 of 3 foundations courses, 3 specialization courses (such as data science courses, human ...

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 ...

The PhD in Information Science at CU Boulder is for students who want to not only imagine what today’s technology makes possible, but to invent new things society can do with technology. Whether ...

Humans produce more than 2.5 million terabytes of data every day. From social media use to scientific studies to financial transactions, every action that is digitally recorded is a piece of data that ...

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.

Every day at Johns Hopkins University, doctoral students use data, background materials, and evidence to inform research and test new ideas. Yet when it comes to making informed choices about their ...

Work with real data. Clean data, deal with missing data values, and appreciate the complexities of handling real-world data. With an advanced degree in statistics or applied statistics, you’ll be ...

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 ...

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 ...