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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 degree is relatively new, with graduate schools, business schools, and data science centers often housing the programs. Data science degree programs have emerged to address the growing and unique need for data scientists who can provide insight into multiple organizational issues and interests across several disciplines.
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). [4] [5] [6]
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [ 10 ] Data analysis is a process for obtaining raw data , and subsequently converting it into information useful for decision-making by users. [ 1 ]
The decision to grant a BS or BA degree at some institutions also depends on the constituent colleges, even when the candidate pursues the same or similar subjects. For instance, Cornell University offers a BS degree in computer science from its College of Engineering and a BA degree in computer science from its College of Arts and Sciences. [17]
A Bachelor of Information Technology (abbreviations BIT or BInfTech) is an undergraduate academic degree that generally requires three to five years of study. While the degree has a major focus on computers and technology, it differs from a Computer Science degree in that students are also expected to study management and information science, and there are reduced requirements for mathematics.