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A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining.
The B.S. is thus the more technical of the two degrees, with the B.A. aimed at giving students a social science context with which to frame their understanding of computer science. [6] Khoury College offers the following degrees: B.S. in Computer Science; B.S. in Cybersecurity; B.A. in Computer Science; B.S. in Information Science; B.S. in Data ...
The College of Computing, Data Science, and Society is the newest of the 15 colleges [1] at the University of California, Berkeley and has three academic majors: Computer Science, Data Science, and Statistics. [2] [3] The college was established in 2023. The 2023–24 academic year will be the first academic year for the college. [4]
The NYU Center for Data Science (CDS) is a degree-granting graduate institute and research center at New York University. It was established in 2013 by computer scientist Yann LeCun . [ 1 ] CDS offers a M.S. in Data Science and, as of 2017, it was one of the first universities in the U.S. to offer a Ph.D. in Data Science. [ 2 ]
Because computer science is a wide field, courses required to earn a bachelor of computer science degree vary. A typical list of course requirements includes topics such as: [7] Computer programming; Programming paradigms; Algorithms; Data structures; Logic & Computation; Computer architecture; Some schools may place more emphasis on ...
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
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Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).