36101 Leading Data Science Initiatives
8cp; block mode with weekly online work, 4 x workshops (6–9pm Wednesdays); availability: Master of Data Science and Innovation and Master of Business Analytics studentsRequisite(s): 48 credit points of completed study in 48.0000000000 Credit Points spk(s): C04379 Master of Business Analytics (Extension)
These requisites may not apply to students in certain courses.
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
Spring session, City campus
Detailed subject description.