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 ...
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 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 ...
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 ...
Step into a career in the high-demand field of data science with a Master of Science from the University of Colorado Boulder. Our two-year, interdisciplinary program will prepare you to become a data ...
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 ...
The programs listed below are just a few opportunities of many for students who are interested in data science. We encourage students to search Handshake and Idealist for more opportunities and to ...
With over 60 affiliated faculty representing more than 20 departments, students in the M.S. program in data science have the opportunity to discover alongside leaders of industry and find their voice ...
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 ...
As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.
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 ...
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