Business Data Analytics
Business and Administration · 3 hrs Lecture
BUS-3575 prerequisites
11 courses appear in this chain, up to 3 levels deep. 2 are needed whichever route you take: BUS-1201 → BUS-1202
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
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Pre-Calculus Math 40S
Applied Math 40S
an equivalent course
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Applied Mathematics 40S
Precalculus Mathematics 40S
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A minimum grade of 65% in Pre-Calculus 30S
a minimum grade of C+ in MATH-0041
permission of the Department Chair
course with a minimum grade of C+
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students must have met their university writing requirement with a minimum grade of C+
or exemption
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Description
This course introduces students to the breadth and depth to which data analytics and artificial intelligence (AI) can be applied within today's business environment. Students are introduced to various data analysis concepts and applications, such as data visualization, data mining, text and social analytics, and big data. The course explores the ethical issues and societal impacts surrounding this cutting-edge technology. Theoretical and conceptual foundations are covered through lectures and the textbook, and reinforced through extensive use of business cases.
Requisite courses
BUS-2002(3) or BUS-2010(3), BUS-2103(3), BUS-2210(3), BUS-2440(3) and BUS-2501(3), all with a minimum grade of C+ [prerequisite(s)]; and students must have met their university writing requirement with a minimum grade of C+ (or exemption) [prerequisite(s)].
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.