DATA 305 - Advanced Quantitative Analysis

Upper Division

Prerequisites
(DATA 105/DATA 105L or MATH 104 or MATH 313); Minimum grade C-.

A rigorous analytical course involving the study of the theories and practices of diverse quantitative methods and procedures that enable managers to judiciously use data in solving complex problems in finance, marketing, operations, and corporate strategy, and providing business analysts with a sound conceptual understanding of the role management science plays in the decision-making process. Students are introduced to advanced tools and techniques for quantitative analysis to support conclusions drawn from empirical evidence for effective decision-making under conditions of uncertainty. Topics include multiple linear and logistic regression modeling, optimization, and computer simulation.

Repeatable
No

Additional Notes
Previous course number: DATA 137

Course credits: 4