CSC-30045 - Data Ethics and Security
Coordinator: Sandra Woolley Room: N/A Tel: +44 1782 7 33259
Lecture Time: See Timetable...
Level: Level 6
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2025/26

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2025/26

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: 2
Assess bias, privacy and fairness in real world data: 1
Analyse datasets and apply methods relevant to privacy, bias and fairness: 1
Contribute individually or in groups, to constructive and informed debates on data ethics: 2

Study hours

11 hours of practical activities
22 hours of lectures
117 hours of independent study

School Rules

None

Description of Module Assessment

1: Portfolio weighted 50%
Portfolio of practical activities
Students 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 presentation
A set of narrated slides detailing research and issues relevant to a defined and nuanced topic in data ethics.