MSc in Generative Artificial Intelligence
Designing, Integrating, and Managing Generative AI at the Core of Organizations
This one-year degree program, unique in its kind, is designed for professionals who aspire to become experts in generative AI, mastering both the technical aspects and the strategic and operational challenges of its deployment in businesses.
By joining this program, participants will develop key skills to design, integrate, and manage generative AI solutions while ensuring compliance with ethical, regulatory, and organizational requirements.
This program is intended for professionals with a Master’s degree (Bac+5) and preferably with experience, looking to advance into roles such as Generative AI Consultant, Generative AI Project Manager, or Generative AI Solutions Architect in various organizations (businesses, associations, educational institutions, public institutions, etc.).
Why is this program unique?
- A hybridization between technological, business, and ethical aspects
- An organization that balances professional activity and studies
- A high-level faculty team, among the most interdisciplinary in Europe
- Relationships with technological partners and companies, allowing learners to work on real-world issues from various sectors
- A campus in Villejuif, 15 minutes from the center of Paris, with high-level educational and technological facilities
- A degree with a lifetime update guarantee© , including 5 years free of charge
- A learning trip to the heart of the AI ecosystem in Silicon Valley
Degrees
- A Master of Science in Generative Artificial Intelligence (Bac+6)
- A state-recognized professional certification registered with the RNCP (National Directory of Professional Certifications) at level 7 : « Project Manager in the Development of Artificial Intelligence Solutions », awarded by aivancity
A state-recognized professional certification from aivancity, registered with the RNCP (National Directory of Professional Certifications) under number 38584 (as of 09-02-2024), level 7 (equivalent to Bac+5): “Project Manager in the Development of Artificial Intelligence Solutions”.
This certification can be validated through skill blocks: to learn more, feel free to contact us.
Click here to discover the program's evaluation and teaching methods.
Learning Objectives
- Master the fundamental and advanced principles of generative AI models (LLMs, diffusion models, transformers…).
- Learn how to build and train generative AI models tailored to organizational needs.
- Gain skills in deployment, optimization, and monitoring of generative AI.
- Understand the ethical, regulatory, and organizational challenges related to generative AI.
- Develop a strategic and operational approach to integrating generative AI into business processes.
Master of Science in Generative Artificial Intelligence in continuing education or work-study format
Format Part-time, seminars on Fridays and Saturdays every other week, in continuing education or work-study format
Entry level Postgraduate degree (Master’s level) with professional experience
Language French
Degree awarded Master of Science in Generative AI (Bac+6) & RNCP Level 7 from aivancity
Next intakeOctober – Paris-Villejuif Campus
Format:
- Boarding for aivancity – preparatory program before the main course
- Opening seminar
- 4 certificates – 24 two-day seminars – every other Friday and Saturday
- One-week learning trip to Silicon Valley
- Tutoring: projects, professional thesis, and career support
| Entry Level | Curriculum | Degree |
|---|---|---|
| Bac+5 and professionals with experience | 4 Certificates | Master of Science in Generative AI & a state-recognized professional certification “Project Manager in the Development of AI Solutions” (RNCP level 7 by aivancity) |
12 Months Part-Time to Become a Generative AI Project Manager
Certificate 1: Fundamentals of AI and Low-Code / No-Code Approach
- Introduction to Artificial Intelligence and Generative AI
- Basics of Mathematics and Statistics for AI (No Code)
- Data Management and Preparation for AI
- Fundamentals of AI and Data (Practical Approach)
- Low-Code / No-Code Tools for Generative AI
- Deployment of a First Generative AI Model in Low-Code
Certificate 2: Fundamentals and Modeling of Generative AI
- Typology and Architecture of Generative Models
- Large Language Models (LLMs)
- Fine-tuning Techniques and Model Adaptation
- Prompt Engineering and Output Optimization
- Multimodal Content Generation (Text, Image, Audio, Video, Data)
- Advanced and Multimodal Architectures
Certificate 3:Deployment and Enterprise Integration
- Environments and Infrastructures for Generative AI
- MLOps and Industrialization of Generative AI Models
- Data Security and Governance in Generative AI
- Interfaces and APIs: Connecting Generative AI to Business Applications
- Performance Optimization and Cost Reduction
- Practical Cases: Deployment and Real-World Testing
Certificate 4:Strategy, Management, Ethics, and Regulation
- Generative AI Strategy for Businesses
- Generative AI and Business Process Automation (RPA & AI)
- Generative AI and Customer Relationship (Chatbots, Virtual Assistants)
- Workforce Transformation, Value Creation, and Organizational Impact
- Regulatory Framework and Compliance (GDPR, AI Act, DSA, DMA)
- Ethics and Bias in Generative AI Models
The Master of Science in Generative Artificial Intelligence from aivancity (Bac +6) prepares students for the following careers:
- Generative AI Consultant
- AI and Automation Project Manager
- AI Solutions Architect
- Digital Transformation Expert
- Innovation and Data Science Manager
The MSc in Generative Artificial Intelligence (Bac+6) from aivancity is intended for:
- Graduates with a Bac+5 from engineering schools or universities in computer science
- Graduates with a Bac+5 from business schools or universities in management, with a strong interest in digital tools
- Company executives holding a Bac+5 degree and at least 3 years of professional experience in IT-related roles
Selection Process
The selection process takes place in two phases: shortlisted candidates, based on their application file, are invited to oral exams and, depending on their profile, may also take written tests.
Admission Tests |  Duration |  Weight |
|---|---|---|
| Multiple-choice test on digital and verbal logic | 1h | 3 |
| Multiple-choice test on technology & business English | 30 min | 1 |
| Multiple-choice test on Data / AI culture | 30 min | 2 |
| Individual interview | 30 min | 4 |
Candidates Residing in France
Candidates residing in France take the tests on-site at our campus during a half-day session.
Candidates Residing Abroad
Candidates not residing in France take the tests at one of our international exam centers or remotely. The admissions team will schedule the date and explain the test procedures.
Admission results are published on aivancity's admissions platform within a maximum of one week, subject to the validation of the current academic year for initial training candidates. Results are also sent to candidates via email.
One-Week Learning Trip to Silicon Valley
Silicon Valley is the global epicenter of innovation, emerging technologies, and startups. One-third of all venture capital investment in the United States is poured into this region, energized by the presence of companies such as Facebook, LinkedIn, Google, Apple, Twitter, Airbnb, Salesforce, and thousands of startups.
Students from the MSc in Generative AI and the MSc in AI for Business take part in an exceptional Learning Trip, specially designed for them, offering an interactive immersion into the heart of Silicon Valley. Thanks to an experience design based on direct interaction, students benefit from networking opportunities with innovative communities, meetings with key players in the tech industry, exploration of startup accelerators and tech hubs, participation in workshops and hackathons, and guided tours of companies and research institutions focused on Data and AI.
Discovering San Francisco, Palo Alto, Mountain View, Cupertino, and the emerging tech hubs of the East Bay gives students a chance to refresh their ideas, test their projects, and broaden their horizons by engaging with the innovators who shape Silicon Valley.
US Learning Trip – 7 Days, 15 Companies or Universities, and 25 Speakers
As part of the “Silicon Valley” Learning Trip of the Master of Science in Artificial Intelligence for Business
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Learning Trips are designed to help participants gain new knowledge, skills, and perspectives by experiencing innovation in a different cultural, geographical, or professional environment.
They allow learners to enhance their professional skills and deepen their understanding of the industry. Company visits, seminars, and workshops strengthen their expertise.
aivancity embraces international engagement through partnerships with leading Tech players to stand out and make a difference.
Application Fee
- €150 (Free for applicants to the work-study program)
Tuition Fees and Funding
- Work-study program: €12,500 (covered by the host company), excluding the Silicon Valley Learning Trip
- Continuing education program: €17,000 excl. VAT (Learning Trip study costs included)
These tuition fees apply to the 2025/2026 academic year and cover all study-related expenses, including a 5-year diploma update guarantee from the date of graduation. They do not include international travel expenses (flights, local transport, accommodation, and meals).
Preferential-rate bank loans are available through aivancity’s partner banks, with repayment starting after a grace period.