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.
We’re dedicated to our students’ success. You have dreams to hold conversations with confidence, to get accepted into an American university or to be known for the memorable work presentations you deliver.
Whatever your English language levels are, you’ll find a program and a learning environment designed to help you make those dreams a reality.
The Master of Science in Data Science is an interdisciplinary graduate program that combines the teaching of domain-specific and technical skills for analyzing large data sets.Â
The Master of Science in Data Science program provides a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques.
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.
Our Master’s in Data Science program will provide you a comprehensive foundation in the skills and theory of data science, as well as the tools and experience to translate data into clear, innovative, and strategic insights.
The Master of Science in Data Science program provides a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques.
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