University of Technology Sydney

36100 Data Science for Innovation

8cp; Scheduled synchronous sessions (online or on campus) and participation in online activities; availability: Master of Data Science and Innovation and Master of Business Analytics students
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 students to the cutting-edge initiatives that organisations and professionals are embarking on to extract and communicate value from data. The subject contextualises professional data science practices for innovation by drawing together skills and knowledge regarding data, communication, and ethics.

Students examine contemporary cases illustrating how novel data sources can act as catalysts to drive innovation and transform industries and professions globally in health, finance, insurance, management, marketing, journalism, librarianship, education, science, transportation, aviation and the environment. First-hand exploratory interaction with data enables students to engage in inquiry-based research 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 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.