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 ...

When Laura Brown was a graduate student, data science wasn't yet a separate discipline; it was spread throughout many areas. As data science started to develop as a distinct academic subject area, she ...

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.

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 Computational and Data Enabled Sciences PhD addresses pressing research challenges across various fields, such as materials modeling and design, natural disasters, smart electric grids, and ...

Worcester Polytechnic Institute (WPI), which launched one of the first master’s programs in data science in 2014, will offer the nation’s first interdisciplinary PhD program in the field beginning ...

Payton Martinez is a PhD student in the Biomedical Engineering Program. The National Science Foundation has given him the Integrated Data Science Fellowship Award. What does the Integrated Data ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

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.

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 ...