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 ...

All the evidence suggests it's tough to get hold of talented data scientists – and that's even true at NASA, says David Meza, acting branch chief of people analytics and senior data scientist at the ...

Imagine a job that has long-term career growth projections, remote work availability, six-figure earning potential, and a spike in job demand. That’s exactly what you get with a career in data science ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

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 ...

Become an effective leader in today’s data-driven world. Learn essential management principles alongside technical skills with our dual degree program. Experience a dual degree program designed for ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

What makes the SLU health data science program unique? SLU's health data science program provides strong training in data collection, data cleaning and preprocessing, statistical analysis, and ...