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Jan 02, 2025
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MATP 4450 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics in an entire methodology rather than individual analyses or analysis steps.
Prerequisites/Corequisites: Prerequisite preferences: Data Science ITWS 4350 / CSCI 4350 / ERTH 4350 or permission of instructor. Database experience (pref). Script programming (pref).
When Offered: Spring term annually.
Cross Listed: ITWS 4600 and ITWS 6600 . Students may not receive credit for both MATP 4450 and ITWS 4600 / ITWS 6600 .
Credit Hours: 3
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