Options d’inscription
This course offers doctoral students a concise and practical introduction to the applications of Artificial Intelligence (AI) in the financial sector. It explores how machine learning, data analysis, and automated decision-making systems are transforming banking, insurance, investment, and financial regulation. Students will gain both theoretical foundations and real-world insights into AI tools, models, and ethical challenges in financial contexts.
The course is designed to be accessible to non-technical participants while still offering value to those with a background in data science or finance.
Learning Objectives:
By the end of this course, students will be able to:
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Understand the fundamental concepts of Artificial Intelligence and Machine Learning.
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Identify key areas where AI is used in finance (e.g., fraud detection, credit scoring, algorithmic trading).
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Recognize common tools and models used in financial AI applications.
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Evaluate ethical and regulatory challenges related to AI in finance.