Code
MGFE FIN 6210
Niveau
M2
Discipline
Finance
Langue
Anglais/English
Crédits ECTS
2
Heures programmées
12
Charge totale étudiant
20
Coordonnateur(s)
Département
- Data analytics, Économie et Finances
Equipe pédagogique
Introduction au module
Students will further explore key issues related to data and sustainable digital finance. Under Module 1: Data & TechFin, the course covers the history of data regulation, major European regulatory frameworks, data protection, digital identity, AI and governance, emerging challenges related to artificial intelligence and machine learning, and the risks associated with data breaches. The module concludes with a case study focused on data protection. Module 2: Sustainable Digital Finance introduces sustainable digital finance concepts, sustainable financial products, services, and markets, and examines how digital technologies support ESG transformation. It further analyzes sustainability and digital transformation of financial institutions, sectors, and economies, with empirical cases from the European Union and Germany.
Objectifs d'apprentissage (compétences mères)
- 5 - Élaborer une vision stratégique et innovante, en s'appuyant sur les potentiels de l'intelligence digitale et sur un écosystème favorable
- 5.1 - Conduire une veille sur les évolutions globales et systémiques des écosystèmes, dans un environnement international, en vue d'anticiper les transformations et innovations possibles, et de proposer des réponses pro-actives et proportionnées aux gran
- 5.2 - Piloter ou co-piloter la construction d'une vision stratégique innovante, porteuse de sens, en s'appuyant sur les potentialités de l'intelligence digitale, dans un champ de contraintes identifiées, pour créer les conditions d'une performance durable
- 5.3 - Fédérer et animer les parties prenantes internes et externes, afin de développer un réseau interne et externe propice au développement stratégique de l'organisation, tout en veillant à favoriser les interactions entre la direction et les différentes
Contenu : structure du module et agenda
Modul 1: Data & TechFin
Session 1
_ History of Data Regulation
_ European Big-Bang: PSD2 / GDPR / Mifid2
_ Data Protection
Session 2
_ Digital Identity
_ AI & Governance
_ New Challenges of AI and Machine Learning
_ Challenges of Data Regulation
_ Data is the New Oil: Risk of Breach
Session 3 : Case study related to data protection
Modul 2: Sustainable Digital Finance
Session 1
_ Introduction to Sustainable Digital Finance
_Sustainable Financial Products, Services and Markets
_ Environmental, Social and Governance (ESG) Transformation with Digital Technologies
Session 2
_ Sustainable Development with Digital Technologies
_ Sustainability Transformation of Financial Institutions, Sectors, and Economies: Cases from the EU and Germany
_ Digital Transformation of Financial Institutions, Sectors, and Economies: Cases from the EU and Germany
Contribution à l'atteinte des ODD (Objets du Développement Durable)
By examining how digital technologies support financial inclusion, market transparency, and the financing of the green transition, as well as how regulatory frameworks ensure financial stability, investor protection, and responsible innovation, the course develops students’ understanding of the societal implications of digital finance.
The course contributes in particular to SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), SDG 10 (Reduced Inequalities), and SDG 16 (Peace, Justice and Strong Institutions).
Méthode pédagogique
The course is delivered in a face-to-face format and adopts a blended teaching approach. It combines traditional lectures with multimedia materials, interactive classroom activities (such as discussions and debates), video-based learning, and the analysis of real-world cases. This integrated methodology is designed to enhance students’ understanding of the digital finance ecosystem by linking theoretical concepts with practical applications.
Système de notation et modalités de rattrapage
Course assessment consists of attendance, in-class participation, and a final group presentation. Attendance and in-class participation are individually assessed, reflecting each student’s personal engagement in quizzes, discussions, and classroom activities. The final presentation is completed in groups. The quality of slides is evaluated at the group level, while the oral presentation is graded individually based on each student’s performance. A make-up assessment, if applicable, will be conducted remotely and will require students to complete an individual digital finance case analysis.