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Villejuif Campus
151, boulevard Maxime Gorki, 94800 Villejuif
Nice Campus
4 Bd Carabacel, 06000 Nice
Degree RNCP Level 7 qualification â Bac+5
Entry Level Bac+4
Format Part-time â Fri. & Sat. every other week
Duration 12 months
Campuses Paris-Villejuif
Intake October
RECOGNISED
State-recognised
Institution
Institution
Decree of 24/02/2023
Ranked among the top Master's programmes
in Artificial Intelligence in France
in Artificial Intelligence in France
Eduniversal 2026
- Our programme is ranked amongst the best Masterâs, MS & MBA programmes in Artificial Intelligence in France
Introduction
Based on a teaching approach that combines theoretical learning with project work, the MSc in Artificial Intelligence for Business at aivancity School of AI & Data for Business & Society enables students to build a portfolio of new skills ranging from probabilistic modelling to deep learning, including unstructured data processing, data visualisation and neural networksâŠ
The programme enables students to acquire a solid analytical foundation in the implementation of machine learning solutions using the best technologies, and to develop the ability to go beyond algorithms and data transformation by contributing to strategic decision-making within organisations and to the improvement of business processes or value creation amongst different stakeholders.
The programme contributes to an understanding of the societal and ethical issues raised by machine learning and to the development of sustainable AI solutions.
The MSc in AI for Business is ranked amongst the best Masterâs, MS and MBA programmes in Artificial Intelligence in France
Eduniversal
2025âšMASTERS MS MBA Ranking
Ranked 2nd!
In 2025: The MSc in AI for Business is ranked 2nd Best Masterâs / MBA in Artificial Intelligence in the Ăle-de-France region
Play
aivancity: the vision of a pioneering AI school
Why is this programme unique?
- A fusion of technological, business and ethical considerations
- An organisation that helps students balance work and study
- A world-class academic team that ranks among the most interdisciplinary in Europe
- Relationships with technology partners and businesses that enable learners to work on real-world problems from a variety of sectors, such as finance, software, healthcare, industry and commerceâŠ
- Preparation for the leading professional certifications in the Microsoft, Amazon Web Services and Google sectors
- A campus in Villejuif, on the outskirts of Paris, with first-class educational and technological facilities.
- A qualification with a lifetime guarantee that it will be kept up to date©âŻincluding 5 years on a voluntary basis
- A learning trip to the heart of Silicon Valleyâs AI ecosystem
Qualifications
- A Master of Science in Artificial Intelligence for Business
- A state-recognised professional qualification registered with the RNCP (National Register of Professional Qualifications) at Level 7 (equivalent to a five-year higher education qualification): âProject Manager in Artificial Intelligence Solutions Developmentâ (accrediting body: aivancity)
- The following professional certifications, for which preparation is included in the programme: AI-100: Designing and Implementing an Azure AI Solution and/or AWS Certified Machine Learning â Specialty
A state-recognised professional qualification registered with the RNCP (National Register of Professional Qualifications) under number 38584 (9 February 2024) at Level 7 (equivalent to a five-year higher education qualification): âProject Manager for the Development of Artificial Intelligence Solutionsâ (accrediting body: aivancity). It is possible to obtain this accreditation in modules: please do not hesitate to contact us for further information.
Click here to find out about the programmeâs assessment and teaching methods
Performance Indicators for 2024â2025
Content updated on November 18, 2025
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
TĂ©moignages
I have a background in law and business. Law and ethics will be given an AI- and data-oriented slant, but I know I need to significantly expand my technical skills in mathematics and programming.âŠ
Arnaud
aivancityâs âAI-Business-Ethicsâ triad strikes a chord. Arnaud is forging a career path in Law, Management and AI
The part-time MSc seems to me to be perfectly suited to professionals like myself, both in terms of the schedule (24 two-day seminars â Fridays and Saturdays every other week) and the way eachâŠ
Amna
Amna has always been fascinated by artificial intelligence. In 2021, she finally took the plunge! She enrolled on the part-time MSc in Machine Learning for Business Intelligence
Innovation, a lifetime guarantee of qualification, and access to new tools are the key themes that aivancity weaves together to help me achieve my goal of changing career direction. I canât waitâŠ
Michaël
MichaĂ«l wants to change career direction. He has decided to enrol on aivancityâs part-time MSc programme.
The programme prepares you for the following careers:
-
Data scientist
Big data is a valuable resource, provided that the data collected is given meaning and value. It is the data scientistâs role to sort through and interpret this data so that it can be used to guide the business.
-
Head of Smart Digital Systems
Digitalisation, big data, chatbots, user experience, e-commerce, connected devices ⊠these are just some of the areas covered by the role of Head of Intelligent Digital Systems. For AI and data technologies to realise their full potential, they must be integrated into a cycle of mutual reinforcement and individual and overall performance. This is precisely the role of the âconductorâ: the Head of Intelligent Digital Systems.
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Marketing AI Project Manager
Marketing is one of the main beneficiaries of artificial intelligence and data in business: predictive analytics, improved customer experience, personalisation, continuous adaptation of marketing strategy, and time savings. A hybrid role by definition, the AI project manager in marketing initiates and supports the technological transformation of their field, whilst taking into account the ethical and societal implications.
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AI Project Manager in Banking and Finance
Banking and finance are at the forefront of artificial intelligence, having embraced the technology at a very early stage. This strategy has enabled the sector to experience rapid growth. Automation, blockchain, predictive analytics⊠The AI project manager in banking and finance drives their companyâs technological development whilst adhering to the regulatory framework and professional ethics.
-
AI Supply Chain Project Manager
Artificial intelligence is revolutionising the supply chain. Sales forecasting, error detection, stock management, improving lead times, automating certain tasks⊠Its potential is vast. A hybrid role by definition, the AI project manager in the supply chain leads the implementation of AI technology with the aim of improving logistics performance and optimising transport.âŻ
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Machine learning developer
Machine learning is a form of artificial intelligence. It is also known as automated learning. The computer receives streams of data that enable it to learn and respond. A machine learning developer creates, manages and fine-tunes the computer programmes that enable this technology to be implemented.
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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 analyse data streams as part of a learning process. A machine learning or deep learning engineer is an expert in this field.