University of Technology, Sydney

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36100 Data Science for Innovation

8cp; 23hrs on campus: 5 x 3hrs (evening session 6–9pm); 1 x all-day (block 9am–5pm), online activities throughout the non-campus weeks; availability: Master of Data Science and Innovation
There are course requisites for this subject. See access conditions.

Requisite elaboration/waiver:

Any student wishing to enrol in first- and second-year subjects concurrently, needs to apply for a waiver.


Postgraduate

Description

This subject introduces the cutting-edge initiatives organisations and professionals are embarking on in this new era of data-driven discovery to extract value from big data. Whether solving problems or exploring new opportunities, participants examine contemporary cases illustrating how novel big data sources can act as catalysts to drive innovation and transform industries and professions in health, finance, insurance, management, marketing, journalism, librarianship, education, science, transportation, aviation and the environment. First-hand exploratory interaction with data enables students to seek informative correlations, patterns and trends leading to discoveries, and identify data discovery studies of interest to them. Through hands-on data discovery experiments, students explore 'big' data as complex and heterogeneous, with new techniques and technologies raising implications for approaches to the ethical and legal collection of personal data.

Typical availability

Autumn session, City campus

Spring session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.