Structuring ESG Data and Reporting and Managing Risk

Module Description

This module emphasises the imperative of ESG implementation and the important role of robust data collection, analysis, and reporting in achieving best practices and effective risk management. Understanding the significance of reliable ESG data is foundational to this module. The focus is on standardised data collection methods, transparent reporting, and technological interventions to ensure data quality, underscoring its importance for sound decision-making.

Learners will be exposed to the inclusion of practical examples from various industries showcasing successful ESG integration and demonstrating how it positively impacts operations, risk mitigation, and value creation. Furthermore, learners will be exposed to evolving trends in ESG reporting, integrated reporting, standardised frameworks namely the Global Reporting Initiative (GRI) and the Sustainability Accounting Standards Board (SASB), and emerging voluntary initiatives such as the Task Force on Climate-related Financial Disclosures (TCFD).

The module explores a shift towards forward-looking and impact-driven reporting, aligning reporting practices with global sustainability goals. Students will navigate the regulatory landscape, covering important legislations and standards at local and global levels. Importance will also be given to compliance with regulations such as the EU Sustainable Finance Disclosure Regulation (SFDR), the UK Modern Slavery Act, and the Carbon Disclosure Project (CDP), enhancing transparency and credibility in ESG reporting and reinforcing the importance of legal adherence.

The module also explores the financial and reputational risks tied to inadequate ESG management and practical tools and approaches for identifying, assessing, and managing ESG risks. This includes frameworks for scenario analysis, stress testing, and impact assessment. The integration of ESG considerations into existing risk management processes and the utilisation of technology solutions are highlighted.

The role of data analytics in ESG reporting and analysis is also explored. Advanced techniques such as machine learning, natural language processing and their ethical nature are discussed to extract insights from large datasets.

Furthermore, the module emphasises the potential of predictive analytics for assessing future ESG risks and opportunities. By the end of this module, students will possess a thorough understanding of ESG data’s criticality, reporting trends, compliance requirements, and risk management tools. Equipped with this knowledge, learners will be able to navigate the evolving ESG landscape, contribute to sustainable business practices, and drive positive outcomes in their respective organisations.

Entry Requirements

Candidates who apply for this course will possess:

• A qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject) and a pass in English Language* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).
• In the case of students who do not possess all the formal required academic qualifications, then the Recognition of Prior Learning (RPL) process could be applied such that if evidence of equivalent learning is found then the applicant could still be accepted in the course. Such RPL process will subject applicants to an interview held with a board of experts within the field, chosen specifically by IDEA Academy, so as to verify their experiences and prior learning.

*Students whose first language is not English and do not possess an ‘O’ level pass in English Language will be required to demonstrate English language capability at IELTS level 6.0 or equivalent.

Target Audience

• Individuals seeking to advance their academic and professional knowledge in ESG.
• Individuals wanting to incorporate and implement ESG practices and sustainability within their organisations.
• Experienced professionals working in industries such as insurance and banking who would like to gain a solid knowledge and skill set relating to ESG regulations, standards, and practices.

Career Paths

ESG principles are typically managed and overseen by a combination of entities within and outside of organisations. The roles and responsibilities vary depending on the organisation’s size, structure, and industry. This programme will prove to be useful in entities and roles involved in managing ESG principles such as the following:

• Chief Sustainability Officer (CSO) or ESG Officer
• Sustainability Committees
• Investors and Shareholders
• Regulatory Bodies
• ESG Rating Agencies
• Internal ESG Teams
• External Consultants and Advisers
• Industry Associations

How you’ll be assessed

The course comprises:

• Evening classes for part-time courses.
• Classes held throughout the day for full-time courses.
• Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
• Self-study hours comprising research, reading and assignment work.

Assessment

Assessment is carried out via two mandatory components:

• Modular Assessment
• Project Assessment

The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.