MSc Data Management & Artificial Intelligence
Paris, France
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 11,190 / per year *
STUDY FORMAT
On-Campus
* international students residing outside france | 10,700 €/academic year: french or international students residing in france
Introduction
In-depth understanding and ethical awareness of data and AI
Established in 1919, ECE Engineering School in Paris excels in tech and digital education. Specializing in software development, network architecture, cybersecurity, data and AI, our educators use project-based pedagogy to enhance learning. As part of the OMNES Education Group, a top private institution in France, ECE leads in innovation and academic excellence.
In an era of escalating data volumes and rapid advancements in AI technology, businesses and organizations seek professionals adept at collecting, storing, analyzing and leveraging data, along with artificial intelligence, for valuable insights.
In response to the rising demand for skilled professionals, this programme offers comprehensive training to students. It equips them with essential skills in understanding the complexities of both fields, mastering key tools for data handling and creating advanced AI models.
Moreover, the programme focuses on enhancing students’ communication skills to effectively convey data analysis findings. By providing this multifaceted training, the programme aims to empower students to make informed decisions. Ultimately, this approach ensures students are well-equipped to navigate the dynamic landscape of data management and AI.
Why Choose this Programme
- This program addresses the basics of databases, information systems, machine and deep learning, data engineering and analytics, mathematics for data science and business intelligence. It also addresses the ethics of AI.
- Through conferences, site visits and projects, students meet with data and AI professionals, thus building their networks.
- Courses are held on ECE’s campus, centrally situated in Paris, near iconic landmarks such as the Eiffel Tower and the Seine River.
- Students dive into data and AI, applying theoretical knowledge and discussing analyses with industry leaders.
- Upon culmination of the programme, students may be conferred with a Bac+5 level diploma adorned with the prestigious MSc – Master of Science label accredited by the Conference of Grandes Écoles.
- Students can obtain the international certificate Microsoft Power BI Data Analyst (PL-300).
LyRIDS Research Center
The ECE research centre is pioneering an innovative strategy to enrich its pedagogy, providing students with insights into scientific, societal and environmental issues, particularly in AI-related fields such as health, energy, transportation, finance and the environment. This approach aligns with the School’s majors and encompasses a broad spectrum of scientific disciplines, focusing on three key areas: Intelligent Communicating Systems, Mathematical Methods and Nanosciences.
Admissions
Curriculum
Year 1
Semester 1 - 30 credits
- Advanced Databases
- Data Visualization
- Initial Python
- Data Science with Python
- Operating Systems
- Introduction to Machine Learning
- Big Data Framework
- Master Class
- Team Management
- Budget Management
- Sustainable Development
- French courses FLE
- Multidisciplinary Team Project
Semester 2 - 30 credits
- Mathematics for Data Science
- Information Systems Management
- NoSQL Databases
- Advanced Machine Learning
- Cloud Computing
- Functional Programming
- Data Integration
- Individual Relationship Management
- Corporate Management
- Marketing in a Digital World
- Manager Ethic’s
- French courses FLE
- Multidisciplinary Team Project
4-month internship (optional)
Year 2
Semester 3 - 30 credits
- Big Data Ecosystem
- Data Engineering with Spark
- Business Intelligence
- Data Analytics
- Real-Time Big Data Search
- Machine Learning III
- Deep Learning
- Ethics of AI
- Cybersecurity
- Change Management
- Workplace Health, Safety and Security
- Job Interview Simulation
- French courses FLE
- Research Writing
- Final Project
Dissertation (20 credits)
6-month internship (10 credits)
Program Outcome
Our graduates will be able to:
- Understand the issues and challenges of data management and AI
- Master the tools and techniques of data management
- Develop AI models
- Communicate data analysis results to stakeholders
Program Tuition Fee
Career Opportunities
After finishing this program, students will be skilled professionals ready to fulfil the requirements of businesses, organizations and the public sector. They’ll be equipped for various career paths such as data engineer, data architect, AI data analyst, deep learning scientist, machine vision engineer, chief data officer, data protection officer, research scientist or IT consultant.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.