Image
Search
Menu
Close
Villejuif Campus
151 Maxime Gorki Boulevard, 94800 Villejuif
Nice Campus
4 Bd Carabacel, 06000 Nice
-
State-recognized school
Our program is ranked among the best Master's, MS & MBA Artificial Intelligence programs in France.
Introduction
The MSc Artificial Intelligence for Business at the aivancity School of AI & Data for Business & Society is based on a pedagogical approach combining theory and projects, and enables students to build a portfolio of new skills ranging from probabilistic modeling to deep learning, including unstructured data processing, data visualization, neural networks...
The program provides a solid analytical foundation in the implementation of machine learning solutions using best-of-breed technologies, and develops an ability to go beyond algorithms and data transformation by contributing to strategic decision-making in organizations and to the improvement of business or value-added processes between different stakeholders.
The program contributes to understanding the societal and ethical issues raised by machine learning, and to the emergence of sustainable AI solutions.
MSc AI for Business ranked among the best Masters, MS & MBA in Artificial Intelligence in France
Eduniversal
2025Ranking MASTERS MS MBA
Ranked 2nd!
In 2025: The MSc AI for Business is ranked2nd best Master's/MBA in Artificial Intelligence in the Île-de-France region.
Play
aivancity: the vision of a pioneering AI school
What makes this program unique?
- Hybridizing technological, business and ethical aspects
- An organization that reconciles work and study
- One of the most interdisciplinary teaching teams in Europe
- Relationships with technology partners and companies, enabling students to work on real-life problems in a wide range of sectors, including finance, software, healthcare, industry and commerce...
- Preparation for the best professional certifications in the field from Microsoft, Amazon Web Services or Google
- A campus in Villejuif, on the outskirts of Paris, with high-quality educational and technological facilities.
- A diploma with a lifetime update guarantee©,including5 years free of charge
- A learning trip to the heart of Silicon Valley's AI ecosystem
Diplomas
- A Master of Science in Artificial Intelligence for Business
- State-registered RNCP (Répertoire National des Certifications professionnelles) level 7 professional certification (bac+5 equivalent): "Project manager in artificial intelligence solutions development".
- The following professional certifications are included in the program: AI-100: Designing and Implementing an Azure AI Solution and/or AWS Certified Machine Learning - Specialty.
A professional certification registered with the RNCP (National Directory of Professional Certifications) under number 38584 (on February 9, 2024) at level 7 (equivalent to a master's degree): "Project Manager in Artificial Intelligence Solutions Development". It is possible to validate this certification in blocks of skills: for more information, please do not hesitate to contact us.
Click here to find out more about the program's assessment and teaching methods.
Performance indicators 2022 / 2023
Content updated on 19/11/2023
98%
Satisfaction rate
100%
Graduation rate
100%
Graduation rate
Learning objectives
- Identify and define the challenges and impacts of the various fields of use of Artificial Intelligence
- Distinguish between the different types of machine learning
- Identify machine learning methods appropriate to a specific business problem
- Analyze, process and model massive data using explanatory statistical models to make them intelligible and usable.
- Measuring the impact of Artificial Intelligence on the environment, society and the individual
- Anticipate potential problems related to the security and protection of personal data
- Understand the fundamental concepts of generative AI and its impact on business.
- Acquire a strategic vision for effectively integrating generative AI into business processes.
- Anticipate the ethical and societal implications of using Artificial Intelligence methods
- Translate raw content into structured data by applying vectorization techniques to make it usable by automated learning algorithms
- Enhance data by implementing a functional engineering approach and drawing on business and sector expertise to improve its exploitation
- Implement deep learning models by designing an optimized architecture to maximize predictive power
- Anticipate and remedy problems such as overlearning of the models developed, by setting up indicators to measure performance in order to ensure the operationality of the Artificial Intelligence solution.
- Evaluate the reliability of predictive machine learning algorithms by applying a data cross-validation strategy to minimize the influence of extreme values.
- Interpreting the results of machine learning algorithms and knowing how to leverage them in a specific business context
- Select the appropriate IT architecture for the problem at hand.
- Understand and identify the opportunities offered by generative AI in business.
- Identify the resources, programming languages and technical tools required for the Artificial Intelligence project
- Promoting the results of an Artificial Intelligence project
- Coordinate the project using management methods and tools tailored to the company's context and the nature of the Artificial Intelligence project.
- Managing an Artificial Intelligence project
Testimonials
I have a legal/business profile. Law and ethics will wear an AI and Data-oriented veneer, but I know I'll need to strongly complement my technical background, in mathematics and programming...
Arnaud
Aivancity's IA-Business-Ethics triptych resonates. Arnaud builds a career path in Law-Management-IA
The MSc Part-time seems perfectly suited to professionals like me, both in terms of the pace (24 2-day seminars on Fridays and Saturdays every other week) and the way in which it is taught.
Amna
Amna has always been fascinated by artificial intelligence. In 2021, she finally made up her mind! She joins the MSc part-time Machine Learning for Business Intelligence
Innovation, a guaranteed lifelong diploma and new tools are the common threads that aivancity weaves together to make my wish to change direction come true. I can't wait to rediscover the pleasure of...
Michaël
Michaël wanted to change direction. He chose to join aivancity's MSc part-time program.
The training program prepares students for the following professions:
-
Data scientist
Big data is a valuable asset, provided that the data collected is given meaning and value. It is the role of the data scientist to sort and interpret it so that it can be used to steer the company.
-
Head of Smart Digital Systems
Digitalization, big data, chatbots, user experience, e-commerce, connected objects... these are just some of the topics covered by the role of intelligent digital systems manager. For AI and data technologies to reveal their full potential, they must be integrated into a cycle of complementarity and individual and overall performance. This is the job of the conductor: the head of intelligent digital systems.
-
AI Marketing Project Manager
Marketing is one of the major beneficiaries of artificial intelligence and data in business: predictive analytics, improved customer experience, personalization, ongoing adaptation of marketing strategy, and time savings. A hybrid profession by definition, the AI project manager in marketing initiates and supports technological transformation in their field, taking into account ethical and societal implications.
-
AI Project Manager in Banking and Finance
Banking and finance are pioneers in artificial intelligence because they embraced the technology very early on. This strategy has enabled the sector to develop rapidly. Automation, blockchain, predictive analytics... AI project managers in banking and finance drive technological change within their companies while complying with regulatory frameworks and professional ethics.
-
AI Supply Chain Project Manager
Artificial intelligence is revolutionizing the supply chain. Sales forecasting, error detection, inventory management, improved lead times, automation of certain tasks... Its power is immense. A hybrid role by definition, the AI project manager in supply chain oversees technological developments in AI with the aim of improving logistics performance and optimizing transportation.
-
Machine learning developer
Machine learning is an artificial intelligence technology. It is also known as automatic learning. The computer receives data streams that enable it to learn and respond. Machine learning developers create, manage, and adjust the computer programs that enable this technology to be implemented.
-
Machine learning or deep learning engineer
Machine learning and deep learning are branches of artificial intelligence. Linked to big data, these technologies enable computers to exploit data flows for learning purposes. Machine learning or deep learning engineers are experts in this field.