Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...
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 ...
Propel your career forward with an accredited graduate certificate. The data deluge being experienced in our markets today requires technical experts with the skills for collecting, handling, and ...
Sheryl Grey is a freelance writer who specializes in creating content related to education, aging and senior living, and real estate. She is also a copywriter who helps businesses grow through expert ...
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 ...
The dual degree data science program is designed to prepare you to enter a constantly evolving field. By earning both your bachelor’s and master’s degrees in just four years and a summer, you will ...
The Data Science minor is an interdisciplinary program consisting of at least 21 credits of courses or 18 credits of courses plus a not-for-credit Experiential Component. The Data Science minor is ...
Data Science is the practice of using computer science and other disciplines to discover meaningful insights from vast amounts of data to solve problems, create more efficient systems and predict ...
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 ...
CU Boulder’s graduate program in applied mathematics offers students the opportunity to specialize in statistics and data science, or a customized track of their choice. Fully asynchronous, online ...
The ability to deeply analyze large and complex data sets is, and will continue to be, a valuable skill in industry, government and nonprofit sectors. The volume of data being collected and needing ...