Expand your knowledge of everything from predictive analytics and data science fundamentals to cloud-based computing environments and health information systems with Michigan Tech's data science ...
The M.S. in data science is a professional master’s degree with a flexible set of core requirements in statistics, mathematics and computer and information sciences. It is aimed at providing a solid ...
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 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 ...
Climate change and environmental problems are one of the most complex issues that humankind is facing today. With the certificate in Data Science-Enabled Environmental Sensing, learn to apply data ...
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 ...
The Biomedical Informatics and Data Science Training Program supports predoctoral and postdoctoral fellows. There are three general areas of emphasis in the training program: Clinical informatics - ...
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 ...
Saint Louis University's data science, B.S. to bioinformatics and computational biology, M.S. accelerated program allows a student to complete both the Bachelor of Science in Data Science and the ...
Computer science is entering the clinic through a first of its kind graduate program from two of the Bay Area’s foremost academic institutions. The UCSF/UC Berkeley Joint Program in Computational ...
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 ...