Executive Master
Executive MSc in Finance
- Paris – Jouy-en-Josas Campus
- Oct 13 2025
- 36 days
- English
- 54000.00 €*
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Executive Certificate
Machine Learning & AI in Finance Machine Learning & AI in Finance
The Tech Finance Executive Certificate is a cutting-edge program designed for those looking to explore finance through artificial intelligence and machine learning. In today’s fast-changing business environment, understanding finance and mastering AI methods is essential, especially with Article 4 of the EU AI Act mandating proper training for those working with AI systems. This program offers a solid foundation in AI, focusing on Machine Learning (ML) and Large Language Models (LLMs). Participants learn key techniques such as regression, classification, and neural networks, applied to challenges like stock prediction, credit scoring, and fraud detection. Insights from experts ensure a deep understanding of transformative technologies. Finance applications offer two key benefits: ML methods often need to be interpretable to meet regulatory demands, and they must handle the complexity of financial markets effectively. The program also covers RegTech (regulation and compliance) and FinTech (blockchain and cryptocurrencies), providing a comprehensive view of finance’s future.
Place(s):
Paris – Jouy-en-Josas Campus
Duration:
12 days
Format:
In-class
Next start(s):
Nov 24 2025
Language(s):
English
Cost:
18 000 €*
Objectives
- Acquire a qualitative understanding of data science and machine learning concepts related to finance
- Enhance quantitative skills through hands-on problem solving
- Gain intuition for advanced machine-learning concepts, topics, and tools.
- Optimize trading strategies, credit scoring techniques, or text interpretation methods used in Finance.
- Analyze the corporate impact of FinTech and regulation compliance.
- Improve business strategies by a better predictive ability of their consequences.
- Develop global perspectives and boost networking opportunities
- Apply concepts and methods learned during the program to your professional environment
2min32
Overview
Program
The program is comprised of a 4-day module of foundational courses and an 8-day module of applied courses. The foundational courses provide an overview of the main concepts in data science, machine learning, AI, FinTech, financial markets, corporate finance, banking, and risk management. The applied courses take an in-depth, hands-on approach by investigating machine learning approaches to return predictability, trading strategies, credit scoring, fraud detection, regulatory reporting, text interpretation, sentiment analysis, and also by various FinTech and RegTech applications.
Profile
Who is this program for? Is it right for you?
Participant Profile
TechFin is intended for current and aspiring corporate executives, business leaders, technical professionals, engineers, scientists, or any employees who deal with an AI system in their organization and want to obtain a deep, hands-on understanding in the cutting-edge field of machine learning and FinTech.
Prerequisites and Admission Criteria
Some knowledge of programming is useful, although not necessary to be able to follow the program. TechFin aims to provide its participants with a working understanding of the architecture of Python programming and how Python can be used to create applications in Machine Learning and AI.
Faculty
Ioanid ROSU
Associate Professor, HEC Paris
An exciting journey into the world of Machine Learning, AI, and FinTech, our program is cutting-edge yet accessible, providing practical tools and insights you can immediately apply to drive impactful change in your organization.
Learning methods & evaluations
Learning methods: Most courses in the TechFin program are delivered by alternating between lectures, case studies, exercises, simulations, applications, group work, and in-class presentations. Most courses require preparation before class: reading case studies or articles, answering preparatory questions, or solving a pre-class assignment. In the second module of the program (Applications), participants work in groups on problem solving that involve Python programming on Google’s Colab platform. These problems give participants the opportunity to get hands-on experience with problem solving and applying what they have learned during the previous courses on a group project.
Evaluations: Participants are evaluated along multiple dimensions: group work write-ups or presentations on projects or case studies, quizzes, in-class or take-home exercises, multiple-choice questionnaires, final exams, post-class analyses, and class participation. The weights instructors choose among all these dimensions vary with each class.
Admission
Would you like to submit your application?
We invite you to:
- Contact our training consultant, who will guide you through the admission process.
- Then, complete your application on our platform by clicking the button below:
This program is accessible to individuals with disabilities. Please contact us to discuss any additional needs or to obtain the Public Accessibility Register.
Frais de formation et financement
Le prix de la formation correspond aux frais pédagogiques et aux frais de repas pendant les heures de formation (déjeuner et pauses)
Ne sont pas inclus : Les diners (sauf exceptions), les frais de transport et les frais d’hébergement (sauf exceptions).
Eligibilité du programme :
RNCP* : Diplôme en Finance Internationale de la fiche RNCP37550BC01 ; (date d'enregistrement au RNCP : 28/04/2023; certificateur : Etablissement d’enseignement supérieur Hautes Etudes Commerciales de Paris)
*Répertoire national des certifications professionnelles
Programme éligible à la VAE
Options de financement : Selon votre profil et le programme choisi, plusieurs options peuvent s’offrir à vous. Rendez-vous sur notre espace financement pour plus d’informations.
Download the brochure
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*Net price, HEC Paris is not subject to Value Added Tax. Prices, dates, faculty and program content are subject to change.
