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2022 unit information
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Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
11 x 2 hour class, + 11 x 1.5 hour lab (seminar) per week
11 x 2 hour class (recordings provided) + 11 x 1.5 hour online seminar
The digital revolution has changed the practice of business. Data to support business decisions (data collected by business systems as well as through the Internet and Social Media such as Facebook and Twitter) are growing exponentially and becoming increasingly difficult to understand and use. Business Analytics is the broad use of quantitative reasoning skills in business decision making. Business Analytics helps managers to solve complex business problems, improve business performance, anticipate and plan for change while managing and balancing risks. This unit will provide students with the analytical knowledge and skills to explore data to find patterns and relationships in data; assess uncertainty and risk of business decisions; evaluate decisions; and forecast and predict trends.
Apply quantitative reasoning skills to analyse business problems
ULO2
Create data-driven / fact-based solutions to complex business scenarios
ULO3
Analyse business performance by implementing contemporary data analysis tools
ULO4
Interpret findings and effectively communicate solutions to business problems
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
The texts and reading list for the unit can be found on the University Library via the link below: MIS171 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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