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Details for BUS251 Ethics in Data Analysis

This subject will commence in 2025

Quick Stats

  • Currently offered by Alphacrucis: Yes
  • Course code: BUS251
  • Credit points: 10

Subject Coordinator

Contact studentsupport@ac.edu.au for more information.

Prerequisite

BUS104 – Introduction to Business Analytics

Unit Content

Outcomes

  1. Explain ethical dilemmas and challenges that arise in the context of data analytics;
  2. Evaluate data privacy and security practices ensuring compliance with regulations and ethical standards;
  3. Apply ethical frameworks and principles to guide decision-making in data analytics;
  4. Distinguish between different ethical considerations and their implications in data analytics to stakeholders.

Subject Content

  1. Introduction to Data Ethics
  2. Ethical Frameworks and Principles
  3. Privacy and Data Protection Regulations
  4. Data Collection and Informed Consent
  5. Data Handling and Security
  6. Bias and Fairness in Data Analytics
  7. Transparency and Accountability
  8. Responsible AI and Machine Learning
  9. Ethical Decision-Making in Data Analytics
  10. Legal and Regulatory Compliance
  11. Ethical Data Reporting and Communication
  12. Case Studies in Ethical Data Practices

This course may be offered in the following formats

  • Face to face on site
  • E-learning (online)
  • Intensive
  • Extensive

Please consult your course prospectus or enquire about how and when this course will be offered next at Alphacrucis University College.

Assessment Methods

  1. Minor Essay (20%)
  2. Exam (50%)
  3. Case Study (30%)

Prescribed Text

Franks, B. (2020). 97 Things About Ethics Everyone in Data Science Should Know. O’Reilly Media, Inc.
Check with the instructor each semester before purchasing any textbooks