Advanced Certificate in Applied Data Science and Analytics (II) Module 4: Ethical and Sustainable Data Science

About This Course

This module emphasises the ethical and sustainability aspects of Data Science. While Data Science provides significant advantages in extracting knowledge from data for business and operational benefits, it also entails ethical responsibilities. Data-driven predictions and decision-making can profoundly impact individuals and communities. Despite the vast potential of data science for problem-solving and insight generation, ethical considerations have only recently gained widespread attention, particularly since 2015. Ethics can be defined as the science of morals or the moral evaluation of choices. Ethics in data science involves evaluating the moral implications and ensuring socially acceptable practices in research and analysis.

In this module, participants will delve into various aspects of data science ethics. They will explore the broad spectrum of data science ethics and the impact of ethics across different fields of data science. The module will highlight the risks associated with overlooking ethical considerations and present strategies for mitigating ethical issues. Additionally, the module addresses sustainability concerns in data science. As Data Science/Artificial Intelligence (DS/AI) tools are increasingly utilised for efficiency, Chief Technology Officers are increasingly concerned about the potential rise in energy consumption. The module will also cover best practices and guidelines to ensure sustainable practices in data science.