This unit aims to expose students to a wide range of advanced applications in Business Analytics (including Business Statistics, Optimisation and Machine Learning) using many real business datasets. One of the major tasks for current businesses is striking a balance between using data science to provide personalised serviced to consumers and doing this responsibly and ethically. This has been reflected in many attempts to regulate and govern analytics at a state level (in many countries around the globe), requiring companies to learn how to continue to improve their business models whilst maintaining customer wellbeing. The unit explores whether and to what extent it is possible to develop responsible and ethical algorithms for data analytics in business.
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 | Bradley Rava, bradley.rava@sydney.edu.au |
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