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Visit the handbook for course and unit information for previous study periods.
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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/Introduces participants to the emerging discipline of risk and resilience engineering. Participants will examine real-life case studies of crisis and disaster events in critical infrastructure, engineering, and asset management organisations.
https://www.scu.edu.au/study/units/pbhl5002/2025/Introduces participants to the emerging discipline of risk and resilience engineering. Participants will examine real-life case studies of crisis and disaster events in critical infrastructure, engineering, and asset management organisations.
https://www.scu.edu.au/study/units/pbhl5002/2024/Introduces participants to research related to the real world and opportunities in industry. Participants will learn about the research process, identify a suitable issue for research, and identify suitable research tools to address the issue.
https://www.scu.edu.au/study/units/proj6002/2024/Introduces participants to research related to the real world and opportunities in industry. Participants will learn about the research process, identify a suitable issue for research, and identify suitable research tools to address the issue.
https://www.scu.edu.au/study/units/proj6002/2025/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/Teaches students the tools and strategies to present data analytics insight in a clear and accessible manner to aid decision-making. Focuses heavily on practice-based learning where students repeat the cycle of practice, feedback and
https://www.scu.edu.au/study/units/info2001/2024/Teaches students the tools and strategies to present data analytics insight in a clear and accessible manner to aid decision-making. Focuses heavily on practice-based learning where students repeat the cycle of practice, feedback and
https://www.scu.edu.au/study/units/info2001/2025/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/