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Visit the handbook for course and unit information for previous study periods.
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Introduces students to the laws relating to competition, marketing and consumer protection with particular reference to Competition and Consumer Act 2010 (Cth) and the Australian Consumer Law.
https://www.scu.edu.au/study/units/laws2022/2024/Introduces students to the laws relating to competition, marketing and consumer protection with particular reference to Competition and Consumer Act 2010 (Cth) and the Australian Consumer Law.
https://www.scu.edu.au/study/units/laws2022/2025/Introduces students to big data technologies. Students will gain the knowledge and skills to design and implement data analytics models using programming languages and contemporary data analytics tools to solve real-world problems and aid decision
https://www.scu.edu.au/study/units/isys2002/2025/Introduces students to the principles and practices of entrepreneurship. Students focus on the entrepreneurial mindset, problem identification, creativity, innovation, and commercialisation.
https://www.scu.edu.au/study/units/hotl3002/2024/Introduces students to the principles and practices of entrepreneurship. Students focus on the entrepreneurial mindset, problem identification, creativity, innovation, and commercialisation.
https://www.scu.edu.au/study/units/hotl3002/2025/Introduces students to big data technologies. Students will gain the knowledge and skills to design and implement data analytics models using programming languages and contemporary data analytics tools to solve real-world problems and aid decision
https://www.scu.edu.au/study/units/isys2002/2024/Equips students with tools, techniques and algorithms to build contemporary Big Data processing and analysis systems. Students will learn how to create and develop each task in the machine learning pipeline from acquiring and cleaning data to
https://www.scu.edu.au/study/units/comp6004/2024/Equips students with tools, techniques and algorithms to build contemporary Big Data processing and analysis systems. Students will learn how to create and develop each task in the machine learning pipeline from acquiring and cleaning data to
https://www.scu.edu.au/study/units/comp6004/2025/Introduces students to investments and portfolio management. Students will engage in teacher-directed activities and experiences relevant to analyses and the construction and management of responsible investment portfolios.
https://www.scu.edu.au/study/units/finc3001/2024/Explores strategic revenue and yield maximisation in the hotel industry through the application of revenue and big data analytics, technology enablers, and business intelligence to drive profitability.
https://www.scu.edu.au/study/units/hotl6010/2025/