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Enhances graduates' numerical and analytical skills. Students will develop statistical proficiency for examining and presenting both simple and intricate data collections from diverse sources including disease indicators, genomic information, transcriptomic datasets, and business analytics. Graduates will be well-positioned for careers in data science across computing, business, and scientific fields.
Learning Outcomes
Utilize comprehensive discipline knowledge to address various big data scenarios, both theoretical and practical.
Evaluate theoretical frameworks and datasets employing multiple data science methodologies.
Derive insights from statistical models to develop solutions for data-related challenges.
Employ statistical software tools and database systems to explore and resolve data science issues.
Articulate data science concepts and findings effectively, with clarity and autonomy.
Integrate varied viewpoints into scientific work, including global perspectives and Indigenous Australian cultural contexts.
Collaborate effectively while incorporating social, environmental, and ethical considerations into scientific work.
Apply acquired knowledge to professional settings.