Gain the deep technical knowledge and interdisciplinary skills needed to turn massive data sets into insights organizations can use. Study data management, statistics, machine learning, data visualization and human-centered design. Collaborate in small teams on data analysis projects.
DurationGain the deep technical knowledge and interdisciplinary skills needed to turn massive data sets into insights organizations can use. Study data management, statistics, machine learning, data visualization and human-centered design. Collaborate in small teams on data analysis projects.
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The Seattle University Master of Science in Data Science is an interdisciplinary program focused on the study of data-driven decision making. Recent decades have seen a rapid expansion in data collection, and the magnitude of that data impacts every industry.Â
The Master’s program in Data Science and Business Analytics (DSBA) is an interdisciplinary program at the intersection of business, computer and information sciences, statistics, and operations research.
Computational Data Analytics & Artificial Intelligence students are required to have a bachelor’s degree in computer science, computer engineering, information technology, mathematics, or a related discipline. Students seeking to specialize in other tracks are required to have the appropriate ac...
The demand for data scientists, data engineers, and data architects is rapidly growing across many industries. According to the U.S. Bureau of Labor Statistics, employment of data scientists is projected to grow 35% from 2022 to 2032, which is much faster than the average for all occupations.
The Master of Science in Statistics and Data Science, offered by the Department of Mathematics, provides students with training in the statistical analysis of data sets, as well as in state-of-the-art data mining techniques.
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