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Successful scientific surveys and experiments rely on a sound design, sampling strategy and analysis of data. This unit introduces students to intermediate-level concepts and practice for planning, implementing, analysing and interpreting surveys
https://www.scu.edu.au/study/units/stat2003/2024/Students will produce a proposal for future work that may be either a research proposal or an implementation plan.
https://www.scu.edu.au/study/units/pbhl6006/2024/Students will produce a proposal for future work that may be either a research proposal or an implementation plan.
https://www.scu.edu.au/study/units/pbhl6006/2025/Introduces students to and develops skills in the quantitative tools, concepts and skills required in a business degree. To reinforce student learning the use of these quantitative tools and skills to solve problems from economics and business is
https://www.scu.edu.au/study/units/math1003/2024/Explores and compares a diverse range of healthcare systems, policies and practices, and their impacting factors. Includes the exploration of a range of inputs, throughputs and outputs based on system theory approaches.
https://www.scu.edu.au/study/units/pbhl5018/2025/Introduces students to business analytics. Statistical tools to analyse and model real-world situations and data are developed. The interpretation and communication of the results are emphasised. Excel is used for statistical calculations.
https://www.scu.edu.au/study/units/stat5002/2025/This unit equips students with essential quantitative skills for business, information technology and hotel management, focusing on their practical application in decision-making. Students will use quantitative tools to solve problems, with an
https://www.scu.edu.au/study/units/math1003/2025/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 computational thinking for data analytics. Students will learn to assess the suitability of different data structures and algorithms for data analytics and to design and implement algorithms.
https://www.scu.edu.au/study/units/prog2008/2024/Introduces students to computational thinking for data analytics. Students will learn to assess the suitability of different data structures and algorithms for data analytics and to design and implement algorithms.
https://www.scu.edu.au/study/units/prog2008/2025/