In order to maintain a strong, diverse and substantial pool of applicants, our tuition rate is designed to make us competitive, especially with our peer institutions. While many students complete the ...

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 ...

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 ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

The University of Chicago’s Biological Sciences Division will launch two master’s degree programs in the fall of 2026 to help ...

In fall 2021, Princeton’s Empirical Studies of Conflict Project (ESOC), with support from the School of Public and International Affairs (SPIA) and the Data-Driven Social Science Initiative, launched ...

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 ...

Michtom School of Computer Science offers bachelor of arts and bachelor of science degrees in computer science, as well as several master's degree programs, and a doctoral program. Computational ...

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 ...

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 ...