Business Analytics uses data, information technology, statistical analysis, and quantitative methods to build models that help managers gain improved insight about their business processes and make better, fact-based decisions. Students will analyze complex business problems and apply higher-level modeling techniques including optimization, simulation, decision analysis, queuing theory and forecasting.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Haskayne School of Business, Mathematics 249 or 251 or 265 or 281, Statistics 217, Management Studies 217 and Strategy and Global Management 217.
Sections
| LEC 1 | MW 12:00 - 14:45
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| TUT 1 | W 15:00 - 17:45
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This course will be offered next in
Fall 2017.