Course Title: Legal Considerations and Big Data Project

Part A: Course Overview

Course Title: Legal Considerations and Big Data Project

Credit Points: 12.00

Course Coordinator: Dr Belinda Clarence

Course Coordinator Phone: 9925 5560

Course Coordinator Email:

Course Coordinator Location: Building 80, City Campus

Course Coordinator Availability: via email

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

Big data, which includes personal profiling and predictive behavioural analysis, is widely used in a variety of businesses.  For example, one application is to provide insights into buyer behaviour that can result in increased sales and better targeted marketing.  However, big data research has implications concerning privacy, government regulation and international access, and increasingly, there are ethical criticisms of digital information gathering and profiling based on personal attributes.

This course will introduce the benefits and sensitivities of Big Data use and examine these from a range of organisational and stakeholder perspectives. This lens will then be applied to a range of applications and case studies in different business contexts.

Objectives/Learning Outcomes/Capability Development


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

  1. Analyse the social implications of big data using real-world cases.
  2. Identify legal requirements regarding data protection, privacy and protecting individuals’ rights.
  3. Discuss the impact of emerging technologies on big data governance with respect to minimising risks and maximising benefits.
  4. Suggest ethically considerate ways of using Big Data in specified business contexts.
  5. Evaluate the legal risks and financial rewards of an organisation’s use of Big Data.

Overview of Learning Activities

This course is delivered as a blend of face-to-face activities (such as: workshops, lectures and group- or industry-based tasks) and online learning. Learning will be focused around the completion of a 12-week project, which will be supported through in-class and online activities. This may include: project development activities; guest speakers/expert commentators; prescribed readings; researching and analysing specific information; solving problems; producing artefacts/ proposing solutions; seeking and providing peer feedback; and reflective praxis.

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies/Canvas. Class activities, recordings, notes and outcomes are posted on Canvas.

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

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows.

Assessment Task 1: 15%
Linked CLOs: 1, 2

Assessment Task 2: 35%
Linked CLOs: 2, 3

Assessment Task 3: 50%
Linked CLOs: 1, 2, 3, 4, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on progress, milestones and approaches, and by individual consultation.