This unit aims to provide a thorough and rigorous coverage of some of the statistical theory underpinning modern estimation methods in Business Statistics. Development of the material is rigorous, and comparisons are drawn between different approaches to estimation and inference. The theory is complemented with relevant business examples allowing students to gain a deep understanding of the models and the ability to tailor them to various business applications.
Unit details and rules
Academic unit | Business Analytics |
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Credit points | 6 |
Prerequisites
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Students must meet the entry requirements for the Bachelor of Advanced Studies (Advanced Coursework), including completion of a pass undergraduate degree and a major in Business Analytics (including QBUS3600) |
Corequisites
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None |
Prohibitions
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None |
Assumed knowledge
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Students are assumed to be familiar with statistical modelling, Optimisation and Machine Learning |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Artem Prokhorov, artem.prokhorov@sydney.edu.au |
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