Executive Master
Executive MSc in Finance
- Paris – Jouy-en-Josas Campus
- Oct 13 2025
- 36 days
- English
- 54000 €*
-
Our programs for individuals - By management topics
- By learning format
-
Our programs for organizations
Executive Certificate
Machine Learning & AI in Finance Machine Learning & AI in Finance
This certificate is designed for managers, business leaders, and technical professionals who aim to acquire in-depth knowledge and practical skills in key areas related to Machine Learning (ML) and Artificial Intelligence (AI)—supervised and unsupervised learning, reinforcement learning, regularization, and neural networks. Applications include NLP, GenAI, market forecasting, credit scoring, fraud detection, M&A prediction, and RegTech. The program focuses on robust, interpretable models for finance. Courses are taught by HEC faculty and experts, with technical support in Python and Colab.
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
- Understand foundational concepts in data science, machine learning, and AI, with emphasis on their relevance and interpretability in financial contexts.
- Build practical skills through hands-on coding and data analysis exercises using Python and Google Colab.
- Develop intuition for advanced topics such as deep learning, reinforcement learning, natural language processing, and large language models.
- Apply ML methods to enhance financial tasks such as trading strategy design, credit risk modeling, fraud detection, sentiment analysis, and M&A evaluation.
- Examine the ethical and regulatory dimensions of AI, with emphasis on model fairness, transparency, and interpretability.
- Strengthen decision-making by using predictive models to evaluate and improve business outcomes.
- Engage in collaborative learning and expand professional networks within a dynamic, executive-level cohort.
- Translate acquired knowledge into actionable insights and tools within your own professional environment.
Program
The certificate includes a 4-day core module on Machine Learning and AI fundamentals and an 8-day module focused on financial applications, with an optional online pre-program covering foundational topics.
Python programming foundations; data structures (lists, dictionaries, tuples); loops and conditionals; functions and modular design; numerical computing with NumPy; data manipulation and visualization with pandas; hands-on programming in Google Colab; data cleaning, filtering, sorting, merging, and plotting.
Supervised and unsupervised learning, predictions via regressions and classification, overfit and regularization, adversarial learning, random forests, feature selection, neural networks, attention, transformers, batching, backpropagation, foundational Large Language Model (LLM) training, LLM fine-tuning, prompt-engineering, and agentic LLMs.
Model-based and model-free methods; Q-learning for value-based decision making; exploration vs. exploitation; application of Q-learning to one-person game environments.
Implementation and evaluation of ML models, linear and logistic regression, Ridge and Lasso shrinkage, tree-based methods (decision trees, random forests, boosting), neural networks for pattern recognition, unsupervised learning with PCA and k-means, cross-validation, bias-variance tradeoff.
Unstructured text data, news reports, financial filings, social media commentary, natural language processing (NLP), ML algorithms, tokenization, stemming, and lemmatization, Term Frequency-Inverse Document Frequency (TF-IDF), word embeddings, topic modeling, Latent Dirichlet Allocation (LDA), Named Entity Recognition (NER), sentiment analysis, emotional tone of market commentary, Generative AI (GenAI), Large Language Models (LLMs), GPT, BERT, report writing automation, earnings calls summary, financial insights, market-moving news, identifying fraudulent activities, enhancing investment strategies.
Predicting asset prices with ML, intraday trading strategies, model calibration and evaluation, backtesting techniques, predictive modeling in cryptocurrency markets, hyperparameter tuning, overfitting and point-in-time issues, implementation of practical trading algorithms.
Creditworthiness, loan applications, buy-now-pay-later payment schemes, regulatory capital under the Internal Ratings-Based (IRB) system, logistic regression, machine learning models, model interpretability/transparency, factor identification in ML "black-box" models, decision fairness, credit risk charge, cross selling, churning, fraud detection, anti-money laundering, and automated claim management by insurance companies.
Fairness and transparency in AI models, interpretability techniques including SHAP values, natively interpretable vs. black-box models, bias detection and mitigation, regulatory compliance and model auditability, ethical considerations in algorithmic decision-making.
M&A announcements and success; synergy estimation; financial indicators, logistic regression, random forests, boosting, support vector machines, NLP applications, 10-Ks and press releases, merger arbitrage strategies.
Data governance, cybersecurity, AI-driven regulatory technologies, privacy-preserving practices, anomaly detection, adversarial risks, system resilience, automated reporting, real-time monitoring, data visualization, secure data storage, privacy-preserving data sharing, compliance with GDPR and DORA regulations, imbalanced datasets, explainability, countering adversarial risks
Profile
Who is this program for? Is it right for you?
Participant Profile
This certificate is designed for current and aspiring executives, business leaders, technical professionals, engineers, and scientists seeking a deep, hands-on understanding of machine learning and AI.
Prerequisites and Admission Criteria
While prior programming experience is helpful, it is not required—and neither is a background in finance, though it can be beneficial. The program offers a practical foundation in Python architecture and demonstrates how to build ML and AI applications. Finance serves as a rich field for application, providing environments where models must be interpretable, robust, and capable of addressing real-world complexity.
Faculty
Ioanid ROSU
Associate Professor, HEC Paris
An exciting journey into the world of Machine Learning and AI, 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 this certificate 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. Participants also get to work in groups on problem solving that involve Python programming on Google’s Colab platform. These projects offer hands-on experience and reinforce the application of key concepts through both individual and team-based work.
Evaluations: Participants are assessed across multiple dimensions, including group project write-ups or presentations, case study analyses, quizzes, in-class or take-home exercises, multiple-choice questionnaires, final exams, post-class assignments, and class participation. The weighting of these components varies by course and is determined by each instructor. A capstone project, to be selected prior to the start of the second module, is also required and will be formally graded.
BENEFITS OF THE PROGRAM
CUTTING-EDGE QUALITY
Explore key AI topics with leading HEC Paris faculty and hands-on support from expert mentors.
TECHNICAL SKILLS
Master Python, machine learning, and GenAI using real tools like Google Colab—no prior coding required.
REAL-WORLD APPLICABILITY
Work on case studies and a capstone project tailored to regulatory and business challenges.
EXECUTIVE FOCUS
Designed for finance, strategy, and innovation leaders aiming to create AI-driven impact.
EXCLUSIVE NETWORK
Join the HEC Paris and EMiF community to build valuable industry connections
Admission
Would you like to submit your application?
We invite you to:
1. Contact our training consultant, who will guide you through the admission process.
2. 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.
Training fees and funding
Training price includes tuition fees and meal expenses during training hours (lunch and breaks).
Not included: Dinners (except in specific cases), transportation costs, and accommodation fees (except in specific cases).
Program eligibility:
RNCP*: International Finance degree listed under RNCP37550BC01; (registration date in RNCP: 04/28/2023; certifying body: Higher Education Institution Hautes Etudes Commerciales de Paris)
*National Directory of Professional Certifications
Program eligible for VAE (Accreditation of Prior Experiential Learning)
Funding options: Depending on your profile and the selected program, several funding options may be available. Visit our funding page for more information.
Download the brochure
Fields preceded by an * are mandatory. Failure to fill out the correct fields will delay your brochure request. By completing this form, you are giving consent to HEC Paris to collect your data in order to process your request for documentation, offer you its training programs and ensure their follow-up. You have a right to access, modify, oppose, delete, limit, transfer, and to inform us how you wish your personal data to be processed, in the event of your death, by contacting exed@hec.fr.
Find out more about the management of your personal data and your rights
These programs
may interest you
Executive Certificate
Strategic Finance
- Paris – Jouy-en-Josas Campus
- Mar 23 2026
- 12 days
- English
- 18400 €*
Executive Certificate
Finance - Asset Management
- Paris – Jouy-en-Josas Campus
- Jan 12 2026
- 12 days
- English
- 18400 €*
Executive Master
Executive MSc in Finance
- Paris – Jouy-en-Josas Campus
- Oct 13 2025
- 36 days
- English
- 54000 €*
*Net price, as HEC Paris is not subject to VAT. The prices indicated may vary depending on the intake dates. When multiple starting dates are available, the price shown corresponds to the first date listed. Program, faculty and course content are also subject to change.
