2019-2020 Catalog [ARCHIVED CATALOG]
Data Science
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Data science is an interdisciplinary subject drawing from statistics, computer science, and domain knowledge skills. The sequence is intended to give participants a foundation in the principles and application of data science. A student completing the sequence should be familiar with the types of tools used for data science, and should be capable of handling real-world problems arising in science, government, and industry.
Primary Contacts:
Professor Mark Huber
Professor Manfred Keil
Professor Shana Levin
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