Programme/Approved Electives for 2025/26
None
Available as a Free Standing Elective
No
This module will provide students with insights and understandings of fundamental issues relevant to data and AI ethics. Students will also acquire practical data science skills such as dataset analysis, anonymisation and fairness testing, as well as skills and insights relevant to future careers involving data protection and AI governance.
Aims
This module will provide students with an understanding of data and AI ethics, governance and privacy. They will explore and debate ethical issues, and data and AI regulation, and will use techniques and tools to analyse and anonymise datasets, detect bias and explore fairness metrics.
Intended Learning Outcomes
Articulate concepts and key aspects of regulation relevant to data ethics and AI governance: 2Assess bias, privacy and fairness in real world data: 1Analyse datasets and apply methods relevant to privacy, bias and fairness: 1Contribute individually or in groups, to constructive and informed debates on data ethics: 2
11 hours of practical activities22 hours of lectures117 hours of independent study
Description of Module Assessment
1: Portfolio weighted 50%Portfolio of practical activitiesStudents will submit a structured compilation of results for a specified set of practical activities that accompany the module.
2: Group Assessment weighted 50%Narrated slides presentationA set of narrated slides detailing research and issues relevant to a defined and nuanced topic in data ethics.