BADM 373

Spring 2026 Part of Term 1

Part of Term 1
Jan 20-May 6

Quantitative Foundations for Business Analytics

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Credit: 3 hours.

Provides students a comprehensive overview of essential mathematical and statistical concepts necessary for effective data-driven business decision-making. The course covers linear algebra, probability theory, statistics foundation, exploratory data analysis, predictive analytics focusing on multivariate models and time series forecasting, and prescriptive analytics including optimization techniques and Monte Carlo Simulation. Through theoretical lectures and practical sessions using widely available software tools, students will develop the analytical skills required to solve real-world business problems.

Prerequisite: BADM 211.

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BADM 373 class schedule data for spring 2026
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	77051	Lecture-Discussion	B	9:30AM -10:50AM	MW	2060 Wymer Hall	Subramanyam, R	Part of Term: 1 Date Range: 01/20/26-05/06/26 Section Info: Prerequisite will be enforced. Restriction(s): Restricted to Gies College of Business. Restricted to Marketing or Information Sys & Info Tech or Supply Chain Management or Business Process Management or Management or Business Analytics or Information Systems or Operations Management or STR BUS DEV & Entrepreneurship or Strategy, Innovation & Entrep major(s) or minor(s). Restricted to students with Junior or Senior class standing.