Overview
The major in Data Science is designed to provide graduates with knowledge and skills in the area of data science. The major emphasises data and business analysis as well as data resources management. This skill set is needed to work with what is commonly known as 'big data'.
Structure
24 credit points
Required Units18 credit points
Specified Electives6 credit points
Admission requirements
English language requirements
Learning outcomes
1.
MLO 01 ‐ Demonstrate a practical and theoretical understanding, of advanced
computational and statistical tools and methods for data‐driven analysis and
problem solving, including their limitations
2.
MLO 02 ‐ Be able to choose, use, combine, and evaluate techniques and
technologies appropriate for different big data analysis tasks
3.
MLO 03 ‐ Demonstrate and articulate a critical understanding of the latest approaches, theories, and research activities in data science.
4.
MLO 04 ‐ Demonstrated written, oral and interpersonal communication skills that support the efficient and effective communication of developed systems through documentation, technical reports and presentations to clients and the broader community.