Master’s in AI & Data

The Master’s in AI & Data at ECE is a Bac +5 level program specialized in data engineering and artificial intelligence. Its curriculum trains experts capable of designing, developing, and deploying massive data architectures that integrate AI solutions within organizations of all sizes and sectors.

The presentation of the Master’s in Data Engineering is based on four complementary skill blocks: design of data architectures, development of storage and processing solutions, deployment into production, and project management. This comprehensive approach makes its graduates rare profiles, capable of intervening throughout the entire data project lifecycle, from collection to change management in enterprises.

To join the Master’s in AI & Data at ECE, applicants must hold a diploma or title RNCP of level 6, equivalent to Bac +3, or have validated 180 ECTS credits. This academic prerequisite is supplemented by technical requirements: proficiency in computer languages SQL and Python, as well as knowledge of the Linux system, is expected upon entry.

These skills are assessed through a placement test conducted prior to joining the program. This test allows the educational team to evaluate your level and ensure that your path is consistent with the Master’s requirements. 

A good understanding of the profession targeted by your career project is also an important evaluation criterion.

The Master’s in AI & Data at ECE is offered in full-time education on the Paris campus. This full-time format allows for complete immersion in the teaching and projects, providing intensive skill development over 2 years.

Long-term internships are integrated into the course, offering essential hands-on learning. These company periods allow you to concretely apply your skills in data science and data architecture management in real professional environments. The network of 10,000 partner companies of ECE facilitates access to high-stakes missions.

The Master’s in AI & Data at ECE covers a wide range of essential technologies for the Data Engineer profession. Starting from the 1st year, you will strengthen your foundations in Python, SQL, and Linux, before tackling Big Data frameworks, cloud architectures, and containerization tools.

In the 2nd year, you will delve deeper into the most advanced technologies in the market:

• Big data processing frameworks (Spark, Hadoop).
• Containerization and orchestration tools (Docker, Kubernetes).
• Artificial intelligence and machine learning technologies.
• Natural language processing and language processing models.
• Programming interfaces and data pipeline automation.

This mastery of the most sought-after IT technologies positions you directly for the most attractive job offers in the data market.

Students thriving in the Master’s in AI & Data have a strong aptitude for data science, programming, and solving complex problems. Previous experience in software development or database management is a true asset for approaching the program with confidence.

Beyond technical skills, the most accomplished profiles in this Master’s share essential behavioral qualities:

• Rigor in managing data and architectures.
• Curiosity for new data and AI technologies.
• Ability to communicate technical results to non-expert teams.
• Sense of responsibility in managing high-stakes projects.
• Ability to work in a multidisciplinary team.

The Master’s in AI & Data from ECE opens the doors to in-demand jobs in the labor market. Graduates quickly access responsible positions in sectors as diverse as finance, healthcare, industry, retail, or digital services.

The targeted jobs at the end of the program cover the entire data chain:

• Data Engineer and Big Data Engineer.
• Data Developer.
• Machine Learning Engineer.
• Big Data Development Engineer.
• Data and Cloud Solutions Architect.

Yes. Data science is at the heart of the Master’s in AI & Data at ECE. The program trains you to transform massive volumes of raw data into actionable information for decision-making. You develop comprehensive expertise covering data collection, processing, analysis, and valorization in real production environments.

The data science skills acquired throughout the program include:

• Modeling and development of artificial intelligence algorithms.
• Statistical analysis and processing of unstructured data.
• Deployment of machine learning models in production.
• Quality management and data governance.

This expertise in data science, combined with mastery of data infrastructure technologies, makes you a well-rounded profile capable of intervening at all levels of a data project in a company.

Applications for the ECE Master’s in AI & Data are submitted directly online on the school’s platform. The admission process includes several steps: review of the application file, placement test in programming languages (SQL, Python, Linux), and a motivation interview with an academic advisor from the school.

To maximize your chances of admission, make sure to:

• Hold a degree or RNCP title at level 6 or 180 ECTS credits.
• Demonstrate solid experience or knowledge in SQL, Python, and Linux.
• Present a clear and coherent professional project aligned with data professions.
• Highlight any experience in data science, development, or database management.

Yes. Beyond technical skills, the ECE Master’s in AI & Data includes a strong managerial dimension. The 4th block of competencies in the program trains you to manage a data architecture project in its entirety:

• definition of the organizational structure ;
• budget management ;
• progress tracking ;
• communication with stakeholders.

This dual technical and managerial expertise opens up opportunities for advancement towards positions of responsibility from the very first years of your career. Experienced Data Engineers naturally evolve into Lead Data Engineer roles, Data Architects, or data team leaders. The ECE alumni network is a valuable lever to accelerate this progression.