FIN41910 Green Data Science

Academic Year 2022/2023

This module provides students with a comprehensive understanding of data science concepts and applications to the field of sustainable finance and business. The module introduces students to the data value chains underpinning sustainable finance and business decision making, to the statistical techniques for modelling the impacts and progress towards the Sustainable Development Goals (SDGs) and to data driven approaches to identifying green- washing in environmental reporting. The module will also critically review whether and how new financial technologies (such as AI or blockchain) may be used to solving sustainable development issues. The module features seminars from data science professionals working on sustainable development issues, as well as a practical data science group project.

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Curricular information is subject to change

Learning Outcomes:

On successful completion of this module students should be able to:
1. Explain how different statistical techniques can be applied to the modelling and monitoring of SDGs.
2. Demonstrate a comprehensive understanding of the practical implementation of green
data science projects.
3. Critically evaluate data completeness and coverage on SDGs.
4. Implement data processes and robustness checks for Anti-Green-Washing.
5. Critically assess whether and how new financial technologies may be applied to the field of sustainable development.

Student Effort Type Hours
Lectures

24

Autonomous Student Learning

136

Total

160

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Group Project: Students will work on a small group research project and presentation on assessing the accuracy and completeness of GHG emission claims of companies. Week 4 n/a Graded No

20

Group Project: Group data project Week 11 n/a Graded No

40

Assignment: Online python introductory course Throughout the Trimester n/a Pass/Fail Grade Scale No

10

Essay: 3,000 word essay on a current topic in green data science Week 7 n/a Graded No

30


Carry forward of passed components
Not yet recorded
 

Not yet recorded

Not yet recorded
Name Role
Dr Theodor Cojoianu Lecturer / Co-Lecturer
Summer
     
Lecture Offering 51 Week(s) - 39 Fri 09:00 - 11:50
Lecture Offering 51 Week(s) - 39 Mon 09:00 - 11:50
Lecture Offering 51 Week(s) - 38 Mon 14:00 - 15:50
Lecture Offering 51 Week(s) - 39 Thurs 09:00 - 11:50
Lecture Offering 51 Week(s) - 39 Tues 09:00 - 11:50
Lecture Offering 51 Week(s) - 39 Wed 09:00 - 11:50
Summer
     

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