Ethics in Data Analysis

This subject will commence in 2025

Awards offering Ethics in Data Analysis

This unit is offered as a part of the following awards:

• Bachelor of Business
• Bachelor of Business (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