What’s the difference between Data Science and Computer Science?
Computer science (CS) made its debut with mainframe computers in the 1960s and 1970s and is a field that has been developing for decades. Sub-disciplines include computer architecture, data structures, programming languages, software engineering, web-design, database development, machine learning, algorithm development, and artificial intelligence. CS is an umbrella that covers many different areas.
Data science, on the other hand, is a more focused field that centers in on one thing – big data. Occasionally, data science and CS are perceived to be the same thing, most likely because data scientists do some programming; but computer scientists and data scientists have different end games. Computer scientists generate software that data scientist’s use, while data scientists apply that software to identify trends and find significance through statistics.
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|School Name||Level||Program||More Info|
|Georgetown University||Master||Master of Science in Business Analytics||Website|
|Johns Hopkins||Master||Online MS in Data Analytics and Policy||Website|
|George Mason University||Master||Online MS in Data Analytics Engineering||Website|
|Utica College||Master||Online MS in Data Science||Website|
|Capella University||Bachelor||B.S. in Data Analytics||Website|
|Southern New Hampshire University||Bachelor||B.S. in Data Analytics||Website|
|Scranton University||Master||Online MS in Business Analytics||Website|
|Drake University||Master||Online Master of Data Analytics||Website|
|Northern Illinois University||Master||Online Master of Science in Data Analytics||Website|