The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated ...

Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that ...

Should you earn a master’s in data science? Dig into the requirements and potential outcomes for this degree. Learn about admissions and specializations.

Researchers uncovered new personality traits and developed a new personality hierarchy using novel data science methods in taxonomic graph analysis ...

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.

Yale’s new Institute for Foundations of Data Science will help faculty across dozens of disciplines infuse their research with next-generation insights.

It's a really active question, and the use of data science methods and techniques to track, monitor, and evaluate trends and innovation is quite a consequential contribution. We have to be acutely ...

The data science degree costs under $16,000 and has performance-based admissions and an IBM-capstone experience. Learn more about CU Boulder's joint interdisciplinary master's program, ideal for ...

This suggests that undergraduate data science degree programs may produce a workforce without the training and judgment to apply data science methods responsibly.