Unit Content
Outcomes
- Explain ethical dilemmas and challenges that arise in the context of data analytics;
- Evaluate data privacy and security practices ensuring compliance with regulations and ethical standards;
- Apply ethical frameworks and principles to guide decision-making in data analytics;
- Distinguish between different ethical considerations and their implications in data analytics to stakeholders.
Subject Content
- Introduction to Data Ethics
- Ethical Frameworks and Principles
- Privacy and Data Protection Regulations
- Data Collection and Informed Consent
- Data Handling and Security
- Bias and Fairness in Data Analytics
- Transparency and Accountability
- Responsible AI and Machine Learning
- Ethical Decision-Making in Data Analytics
- Legal and Regulatory Compliance
- Ethical Data Reporting and Communication
- 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
- Minor Essay (20%)
- Exam (50%)
- 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
