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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 Open Syllabus Project (OSP) is an online open-source platform that catalogs and analyzes millions of college syllabi. [3] Founded by researchers from the American Assembly at Columbia University , the OSP has amassed the most extensive collection of searchable syllabi.
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]
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]
Academic programs vary between colleges, but typically include a combination of topics in computer science,computer engineering, and electrical engineering. Undergraduate courses usually include programming, algorithms and data structures, computer architecture, operating systems, computer networks, parallel computing, embedded systems, algorithms design, circuit analysis and electronics ...
Theoretical computer science is a subfield of computer science and mathematics that focuses on the abstract and mathematical foundations of computation. It is difficult to circumscribe the theoretical areas precisely.
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