Course Title: Data Architecture, Ethics & Governance

Part A: Course Overview

Course Title: Data Architecture, Ethics & Governance

Credit Points: 12.00

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
ISYS3418	RMIT Online	Postgraduate	620H Business IT and Logistics	Internet	JulDec2020 (All)
ISYS3418	RMIT Online	Postgraduate	620H Business IT and Logistics	Internet	JanJun2021 (KP3)
ISYS3418	RMIT Online	Postgraduate	665H Accounting, Information Systems and Supply Chain	Internet	JanJun2022 (KP1)
ISYS3418	RMIT Online	Postgraduate	665H Accounting, Information Systems and Supply Chain	Internet	JulDec2022 (KP5)
ISYS3418	RMIT Online	Postgraduate	665H Accounting, Information Systems and Supply Chain	Internet	JanJun2023 (KP3)
ISYS3418	RMIT Online	Postgraduate	665H Accounting, Information Systems and Supply Chain	Internet	JanJun2024 (KP1)

Course Coordinator: Vince Bruno

Course Coordinator Phone: +61 3 9925 5784

Course Coordinator Email: vince.bruno@rmit.edu.au

Course Coordinator Location: Melbourne City Campus

Course Coordinator Availability: By Appointment via email only

Pre-requisite Courses and Assumed Knowledge and Capabilities

Foundational knowledge of Data Science.

Course Description

This course focuses on the architecture, ethics and governance of data for use in the data science context. During this course you will learn to identify appropriate behaviours and practices using ethical frameworks and policies and how to comply with governance and legislation. During this course you will learn how data ethics is informed and applied in a variety of settings, and apply this to industry standards on sourcing, storing and giving informed consent to use big data. In this course you will also learn about the appropriate architectures to enable ethical and effective management and use of data.

Objectives/Learning Outcomes/Capability Development

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On successful completion of this course you will be able to:

CLO1 Formulate data architecture solutions to match data characteristics (e.g. size, complexity) leveraged by the organisation to support data storage and ongoing analytics processes.

CLO2 Assess the risks associated with storage strategies and mechanisms for maintaining security of big data.

CLO3 Assess data quality (based on source, time and how it's created) and determine the impact on finding/results based on an ethical analysis approach.

CLO4 Evaluate data governance schemes for an organisation or project to manage data quality and validity.

CLO5 Critically review global industry standard regulatory constraints on data privacy (sourcing, storage and use of data) to develop your professional practice.

CLO6 Critically interpret industry informed, evidence based best practice in privacy, informed consent and associated ethical and or legal aspects of data analytics.  

CLO7 Propose stakeholder management strategies to influence key decision makers to advocate for the implementation of ethical data management practices.

Overview of Learning Activities

This course uses highly structured learning activities to guide your learning process and prepare you for your assessments. The activities are a combination of individual, peer-supported and facilitator-guided activities, and where possible project-led, with opportunities for feedback throughout. 

Authentic and industry-relevant learning is critical to this course and you will be encouraged to critically compare and contrast what is happening in your context and in industry, and to use your insights. 

Social learning is another important component and you are expected to participate in class and group activities, share drafts of work and resources and give and receive peer feedback. You will be expected to work efficiently and effectively with others to achieve outcomes greater than those that you might have achieved alone. 

Above all, the learning activities are designed to maximize the likelihood that you will not only understand the course learning resources but also apply that learning to improving your own practice, for example by producing real-world artefacts and engaging in scenarios and case studies. 

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies\Canvas. The lecture notes and workshop notes are posted on Canvas

Each learning activity contains the core resources, such as videos, podcasts, readings, templates, articles, industry tools and/or communities that you need to complete that activity, or links to those resources.

Additional learning resources designed into the course, will be clearly marked as supplemental. If your course teaching team finds additional resources during course delivery which they think can support or be of interest to the class cohort, these will be made available as required during the teaching period.

In your class environment, besides your learning activities you will also find:

• all assessment briefs;
• a course information page with a study schedule;
• various communication tools to facilitate collaboration with your peers and facilitators, and to share information.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

A total mark of 50% is required for a pass in the course. This does not mean that each individual component of assessment must be passed.

Assessment Task 1: 30%
Linked CLOs: 1, 2, 3, 5

Assessment Task 2: 40%
Linked CLOs: 4, 5, 7

Assessment Task 3: 30%
Linked CLOs: 1, 4, 5, 6, 7