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 ...

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. The ...

Who is the Master's in Data Science for? Drexel’s College of Computing & Informatics' Master of Science in Data Science (MSDS) is designed for students with or without a bachelor’s degree in Data ...

Director Diego Klabjan shares the reasons for renaming the MSiA program the Master of Science in Machine Learning and Data Science program Ten years ago, Northwestern Engineering's Master of 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 ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

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 ...

In an era where data drives decision-making across industries, the demand for skilled data scientists has never been higher. Recognizing this critical need for professionals who not only understand ...

Elliot Gardner shares how the MLDS program helped him transition from his military career to a new role as senior data scientist for Decision Spot. Being stationed in a literal warzone helped Elliot ...

Liz Simmons is an education staff writer at Forbes Advisor. She has written about higher education and career development for various online publications since 2016. She earned a master’s degree in ...

This initiative will create the Center for Environmental Data Science to leverage existing ESF resources to address institutional weaknesses, and to be responsive to emergent data science themes being ...