University of Technology, Sydney

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36101 Leading Data Science Initiatives

8cp; Block mode with weekly online work, 3 x workshops (6–9pm Thursdays), 1 x workshop (9am–6pm Saturday); availability: Master of Data Science and Innovation students only
Requisite(s): 36100 Data Science for Innovation AND 36106 Data, Algorithms and Meaning AND 36103 Statistical Thinking for Data Science
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 focuses on leadership in data environments, management methods and approaches for successful delivery of data initiatives. The project lifecycle is considered in terms of outcome delivery, and integrated with the data management lifecycle and principles. Project management methodologies are explored, as well as methods for planning and execution of data projects. Delivery frameworks and specific deliverables are produced that facilitate a common understanding of the scope, time and cost dimensions of data-driven projects. Documentation and artefacts play a key role in ensuring students can reproduce initial results and communicate development pathways taken during the life of data initiatives. Students also explore the importance of organisational structure in leveraging the data an organisation acquires, processes and stores, as well as project leadership, including stakeholder engagement, communications, team and performance management. In this subject, students develop an understanding of a data management plan, data infrastructure and policies driving the control of data and its lifecycle. Students are also challenged to consider the range of issues related to handling data within the context of project delivery including privacy, security, data preservation, ethics, data storage and data distribution. The subject involves group and individual exercises, as well as the opportunity to work with business clients on real-life data challenges.

Typical availability

Autumn 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.