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Emphasizes developing graduates' numerical and analytical skills. Students will acquire statistical proficiency for examining and presenting both straightforward and intricate data collections from diverse origins, including disease indicators, genomic/transcriptomic information, and corporate datasets. This prepares graduates to excel in the competitive data science field across computing, business, and scientific sectors.
Learning Outcomes
Utilize comprehensive subject knowledge across various big data scenarios, both theoretical and practical.
Evaluate conceptual frameworks and information using multiple data science methodologies.
Derive insights from statistical models to address data-related challenges.
Employ statistical programs and database systems to explore and resolve data science issues.
Clearly and independently convey data science concepts and findings.
Integrate global viewpoints into scientific work, including Aboriginal and Torres Strait Islander cultural perspectives.
Collaborate effectively while incorporating social, environmental, and ethical considerations into scientific work.
Apply acquired knowledge to professional settings.