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Description
Artificial Intelligence (AI) is becoming increasingly important in the financial sector, urging the integration of techniques to address new challenges, especially in Environmental, Social, and Governance (ESG) and sustainable finance. Given the vast diversity of unstructured data in ESG, this course aims to introduce students to fundamental quantitative methodologies using the Python programming language, as well as with machine learning methods and recent advancements in large language models.
The course begins by introducing the basics of programming in Python and data analysis. It then progresses to cover a variety of techniques, ranging from simple supervised learning algorithms to sophisticated large language models, all aimed at addressing sustainability issues in finance. Students are given ESG and environmental data to analyse in their coursework. They have the flexibility to conduct their own data analyses using the programming language they are most familiar with or prefer.
On completion of this module, students will be able to:
- Gain proficiency in Python, essential for AI and data analysis.
- Understand the role of AI in sustainable finance.
- Collect, process, and analyse ESG-related, environmental, and financial data.
- Use machine learning algorithms to analyse ESG and environmental data for key insights.
- Employ Natural Language Processing (NLP) techniques to derive insights from textual data.
- Apply large language models for processing textual data like ESG content for decision-making.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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