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M.Sc in Artificial Intelligence Engineering From EU Global and Aivancity

  • Ranked France’s #1 college in AI & Data Science Engineering by Eduniversal
  • Master’s awarded by EU Global and Aivancity
  • Achieve proficiency in Python, AI, cloud systems, data pipelines, and ML
  • 2-year work visa in France

Next cohort Starts
28th Sep 2025
Hybrid Learning Mode
1st Year Online + 2nd Year On-Campus
Course Duration
2 Years
Accreditations & Recognitions

Why Join This Program?

Global Accreditation with post-study work visa
Master’s from EU Global and Aivancity, France’s top-ranked tech school (Eduniversal), with 2-year post-study and 5-year alumni visa.
Industry-Rooted Learning
Master AI, cloud systems, data pipelines, AI tools, and technologies like Python, SQL, GCP, and DevOps.
Start Online, Then Move to Paris
Begin the program online, then continue on campus at Aivancity in Paris. Work on real-world projects at the AI Clinic.
Career Services That Deliver
Get expert guidance, 1:1 mentorship, and connect with 3100+ hiring partners to land impactful roles in AI and data.
Next Cohort Starts on
28th September 2025
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Aivancity - M.Sc in Artificial Intelligence Overview

Key Features

Key Feature
Get your M.Sc from France’s Top AI School, ranked #1 in AI and Data Science by Eduniversal
Key Feature
Earn 120 ECTS credits aligned with EQF Level 7 and recognized under Bac+5 in France
Key Feature
RNCP Level 7 certified, FMHE accredited, WES-recognized, and QUALIOPI certified for training quality
Key Feature
100% English-taught curriculum with no GRE, GMAT, IELTS, or French proficiency requirement
Key Feature
Opportunity for a 6-month paid internship with global companies (subject to conditions)
Key Feature
Eligible for a 2-year post-study work visa, with up to a 5-year alumni visa with Schengen Access.
Key Feature
24/7 academic support, live mentorship, and career services through 3100+ hiring partners
Key Feature
Learn from global faculty and industry experts with 60+ support sessions and 250+ hours of guided content

Two European Accreditations. One Powerful Career Move.

On completion, you will earn an M.Sc in Artificial Intelligence Engineering from EU Global and Aivancity, recognised internationally and respected by industry leaders. This qualification affirms your advanced AI expertise and equips you for global career opportunities from the start.

certificate
Aivancity Certificate
Master’s Degree from Aivancity, Paris
  • Ranked France’s #1 in AI & Data Science Engineering by Eduniversal
  • Get a 2-year post-study work visa, with up to a 5-year alumni visa with Schengen Access.
EU Global Certificate Image
EU Global Certificate
Partnering with the EU Global
  • Matches the academic standards of European institutions
  • Stepping stone to advanced roles and international Exposure

Career Services
Career Services are provided to all learners by IntelliPaat after they complete the course and clear the PRT (Placement Readiness Test).
What we provide?
  • Placement Assistance
  • Exclusive access to Intellipaat Job portal
  • Mock Interview Preparation
  • 1:1 Career Mentoring Sessions
  • Career Oriented Sessions
  • Resume & LinkedIn Profile Building
3100+ Hiring organisations
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Curriculum

Self-Paced

Year 1 – Post Graduate Diploma in Data Science & AI 100% Online

Python Programming

  • Data types, conditionals, functions, file handling
  • NumPy, Pandas basics for analysis
  • Data cleaning and simple scripts

R Programming

  • Vectors, lists, and data frames in R
  • Data wrangling with dplyr, tidyr
  • Writing reusable analysis scripts
  • ggplot2 for plots and charts
  • Visual aesthetics and layout techniques
  • Interactive dashboards with Shiny
  • Connecting to APIs and databases
  • Flat files, SQL, NoSQL intro
  • Cleaning and analyzing retrieved data
  • Trends, seasonality, and forecasting
  • ARIMA, exponential smoothing
  • Real-life time series applications
  • Regression, classification, clustering
  • Training/testing splits, overfitting
  • Model evaluation and real-world use
  • Exploratory data analysis (EDA)
  • Correlation, distributions, and insights
  • Data summaries and feature patterns
  • AWS/GCP fundamentals and tools
  • Storage, compute, networking in the cloud
  • Hands-on with cloud console and services
  • Git, Docker, Kubernetes basics
  • CI/CD pipelines and automation
  • Managing deployments and scaling
  • Linear algebra and matrix ops
  • Probability basics, calculus overview
  • Math foundations behind ML algorithms
  • Descriptive and inferential statistics
  • Probability distributions and sampling
  • Hypothesis testing, CLT
  • Derivatives, gradient descent
  • Backpropagation and chain rule
  • Mathematical intuition behind networks
  • Text cleaning and tokenization
  • Word embeddings and sentiment analysis
  • Simple NLP models and evaluation
  • Neural network design and training
  • CNNs for image, RNNs for sequences
  • Deep learning in industry
  • Multivariate analysis and dashboards
  • Interactive visual storytelling
  • Data transformation and advanced plotting
  • Large language models and GPT
  • Image and text generation basics
  • Ethics and risks of GenAI
  • Trends in AI and automation
  • Societal impact and tech forecasting
  • Policy, innovation, and frontier use
  • OOP concepts in Java
  • UML diagrams and system modeling
  • Java programming for design logic
  • Data pipelines and warehousing
  • BI dashboards and reporting tools
  • KPI design and business metrics
  • Legal frameworks for AI
  • GDPR, algorithmic bias, and explainability
  • Ethics, compliance, and governance

Year 2 – Aivancity (France Campus)

Build and deploy end-to-end AI solutions using modern tools and techniques.

  • Machine Learning Business Projects
    Apply AI to real-world scenarios and evaluate outcomes based on business KPIs.
  • Natural Language Processing
    Extract, process, and analyze textual and voice data for automation and insight.
  • Advanced Data Analysis and Visualization
    Develop analytical dashboards, apply statistical models, and create compelling visual narratives.
  • Deployment and Maintenance of AI Models
    Train, deploy, and monitor AI pipelines, and prepare for the Azure Data Scientist Associate certification.

Understand the strategic and operational role of AI across industries.

  • Supply Chain Management & Smart Operations
    Explore how AI optimizes logistics, demand planning, and resource allocation.
  • Business Strategy and Digital Transformation
    Understand how AI enables agility and innovation in evolving business models.
  • Management of Digital Systems
    Learn to manage information systems and digital infrastructure in AI projects.
  • AI & Data Science for Marketing
    Use AI to drive segmentation, targeting, campaign optimization, and customer insights.
  • AI Project Management
    Gain practical tools for leading cross-functional AI teams and agile workflows.
  • Venture Capital
    Discover how investors assess and finance AI startups and products.

Address the ethical, legal, and social dimensions of AI technologies.

  • Data Anonymization
    Learn to protect personal data while preserving analytical value in AI pipelines.
  • FairML
    Analyze and mitigate algorithmic bias in AI-driven decision systems.
  • Robustness
    Build AI models that are resilient to data drift, attacks, and performance degradation.
  • XAI: Explainable Artificial Intelligence
    Develop interpretable models and justify AI outcomes to stakeholders and regulators.

Shape the long-term impact of AI across sectors and ecosystems.

  • Structuring and Management of an AI Project
    Learn to scope, structure, and deliver high-impact AI projects end-to-end.
  • Generative AI
    Understand how models like GPT and diffusion systems are transforming creativity and automation.
  • Cybersecurity and Artificial Intelligence
    Explore the intersection of AI and cybersecurity in protecting systems and data.
  • Artificial Intelligence of Things (AIoT)
    Apply AI in connected device ecosystems for automation and smart environments.
  • Evolution of AI Law: Practical Cases
    Study key legal precedents and upcoming regulations governing AI use.
  • Green Artificial Intelligence
    Design environmentally sustainable AI systems and measure their carbon impact.
  • Artificial Intelligence and Human-Machine Interaction
    Build interfaces that enhance usability, trust, and cooperation between humans and AI.
  • Change Management
    Learn to navigate organizational transformation driven by AI integration.
  • Data-Driven Business Models
    Design scalable business models rooted in data and algorithmic advantage.
  • The Future of Artificial Intelligence
    Forecast emerging trends and evaluate their economic and social impact.
  • AI-Powered Customer Relationship Management
    Leverage AI to personalize customer experiences and automate engagement.
  • Industrial AI
    Apply AI in manufacturing, supply chains, and robotics for Industry 4.0.
  • AI in Agriculture
    Use AI for precision farming, yield optimization, and environmental monitoring.
  • AI for Health
    Understand the role of AI in diagnostics, treatment planning, and health data analysis.
  • AI in Finance
    Analyze risk, detect fraud, and power fintech innovations using machine learning.
  • AI for Marketing
    Automate customer insights, recommendation systems, and campaign strategies with AI.

Bridge academic learning with hands-on consulting and career coaching.

  • AI Clinic
    Solve live business problems through collaborative team-based consulting engagements.
  • Career Coaching  (Pass/Fail)
    Get resume support, personal branding, and one-on-one guidance for job preparation.
  • Final Project
    Build and present a comprehensive AI solution aligned with your internship or domain of interest.
  • Internship (3 to 4 months)
    Gain work experience in AI roles across industries. (Non-credited but mandatory)
View More
Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.
30+ Tools You Will Master
python 2
R programming
SQL 1
git
jupyter 3
Google Colab
scikit learn 1
TensorFlow
PyTorch
Keras
OpenCV
NLTK 2
SpaCy
HuggingFace
pandas
numpy 2
MLflow
DVC
Flask
Fast API
spark 1
hadoop 1
kafka
Airflow
AWS 1
azure 3
Google Cloud
docker
kubernetes
jenkins
mongodb
SQL 1
PostgreSQL 1
Neo4j
tableau 3
Power BI
matplotlib
Seaborn 1
plotly
12+ Core Skills You Will Build

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Data Analysis

Statistical Modeling

Data Engineering

MLOps

AI Ethics

Cloud Integration

Model Deployment

Generative AI

Prompt Engineering

View 9 more Skills

Case Studies and Projects

Meet Your Mentors

Why Intellipaat and Aivancity are your gateway to a Successful Artificial Intelligence Career

Parameter
Intellipaat
Others
Live online Support sessions led by top International faculty
Career support with mock interviews, resume building, and job guidance
Industry-ready curriculum
Real-world capstone and guided projects
Dedicated doubt resolution and 24/7 learner support
2 Years post-study work visa

Batch Profile

Our online program attracts a wide range of professionals, making each cohort a vibrant mix of experience and industry insights.

By Industry

IT & Software Development 35%
Engineering & Manufacturing 20%
Data & Analytics 15%
Finance & Consulting 12%
Healthcare & Biotech 8%
Others 10%

By Work Experience

0–1 Years 45%
1–2 Years 28%
3–5 Years 20%
5+ Years 7%

Reviews & Testimonials

5 (2,154)
Hiten Jauhari

Hiten Jauhari

Data Scientist at Optgen Information Technology

Intellipaat’s AI program gave me the edge I needed as a fresh graduate. I built strong skills in data science, machine learning, and AI applications. The hands-on projects and expert guidance helped me think beyond theory. I was able to secure a Data Scientist role soon after completing the program.Read More

Aziz Zaid

Aziz Zaid

Data Analyst at Iracle Analytics

The transition from intern to full-time analyst was possible thanks to Intellipaat’s AI program. I gained practical experience in data analysis, visualization, and predictive modeling. The industry-focused training helped me apply what I learned during my internship, which boosted my confidence and proved my capability on the job.Read More

Amit Kumar Singh

Amit Kumar Singh

Sr. Analyst at R1crm

My journey from web development to AI has been truly rewarding. Intellipaat’s program helped me build real-world skills in deep learning, automation, and data systems. The capstone projects and round-the-clock support pushed me to grow faster and deliver more impact in my current role.Read More

Admission Process

The application process for M.Sc in AI engineering is straightforward and designed to help us understand your goals, background, and readiness for this program. Here’s how it works:

STEP 1
Speak to the course Advisor
Understand the program and how it can benefit you.
STEP 2
Application Submission
Register yourself and submit the documents.
STEP 3
Offer Letter
Receive an admission letter from the University
Who should apply for this Master's?
To ensure we are able to give you the best possible outcome from this program, we check for the following things:
  • You are aiming for a global AI career and want a Master’s from one of France’s top applied AI schools.
  • You have studied computer science, IT, or a related field and are confident with math and Python.
  • You are excited to build real-world AI systems, collaborate across cultures, and explore the societal impact of intelligent technologies.

Program Fee & Financing

Total Fee
₹7,99,995
(Inclusive of taxes)
We partnered with financing companies to provide very competitive finance options at 0% interest rate
dk-fee-emi-logo
Admission Closes On:
28th Sep 2025
Apply Now

Program Cohorts

Weekend (Sat-Sun)

28 Sep 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

05 Oct 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

12 Oct 2025 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

19 Oct 2025 08:00 PM - 11:00 PM
7,99,995 10% OFF Expires in

*IST (GMT +5:30)

FAQs

About the course

Is the Aivancity M.Sc in AI Engineering & Data Science suitable for beginners?

Yes, the Aivancity M.Sc in AI Engineering & Data Science is suitable for beginners with a strong academic background. It starts with foundational concepts and gradually builds expertise in AI, machine learning, and data science, making it ideal for graduates or early professionals entering the AI field.

You just need a basic understanding of Python and logical thinking. If you are from a non-tech background, this course starts with core concepts, making it suitable for you to learn.

Unlike typical online AI programs, this M.Sc by Aivancity and EU Global offers 50% on-campus training in France, a 6-month paid internship, and eligibility for a 2-year post-study work visa. It combines academic rigor with real-world AI engineering skills, global exposure, and strong European job market integration.

The M.Sc in AI Engineering & Data Science by Aivancity and EU Global integrates Data Science with AI system design. It covers data preprocessing, analysis, visualization, and pipeline automation, ensuring students can manage, interpret, and use data effectively to train and deploy AI models in real-world applications.