MSc Data Management in detail
The MSc in Data Management at Paris School of Business prepares professionals to understand, structure, analyze, and leverage data within organizations.
This work-study program combines technical expertise, managerial skills, and a strong business perspective. Students master the entire Data and Artificial Intelligence value chain, including programming, databases, Business Intelligence, Machine Learning, Data Engineering, Cloud, data governance, and Data Visualization.
Through hands-on projects, certifications, and professional experience within companies, students develop skills that can be directly applied to careers in Data, Analytics, and Artificial Intelligence.
The program's labels
What official recognition does the MSc have?
The MSc is accredited by the French Ministry of Higher Education and Research. The program also benefits from the School's triple international accreditation: EQUIS, AACSB, and AMBA.
*Awarded by Digital Campus, NSF 326, Level 7, registered in the RNCP under number 36287 by decision of the Director General of France Compétences dated 25/03/2022
Why choose the MSc in Data Management?
Dual Expertise in Data and Management
The MSc in Data Management develops a dual technical and managerial skill set that is highly sought after by companies.
Students learn to master Data and Artificial Intelligence technologies while developing skills in project management, leadership, innovation, and decision-making, enabling them to successfully lead complex Data and AI projects.
A Career-Focused Work-Study Program
The work-study format places professional experience at the heart of the MSc in Data Management. Case studies, dashboards, cross-functional projects, masterclasses, and a Study Mission complement the academic curriculum.
This hands-on approach enables students to apply their Data and AI skills to real-world challenges while continuously developing their employability throughout the program.
A Program Focused on Data and AI Technologies
The program covers the latest Data technologies and key industry challenges, including Python, Business Intelligence, Machine Learning, Data Engineering, Cloud Data Platforms, DataOps, MLOps, Deep Learning, Data Governance, and Agentic AI.
It prepares students to support organizations in their digital transformation and Artificial Intelligence initiatives.
“Joining the MSc in Data Management means choosing excellence. The program combines technical expertise, an understanding of the transformations shaping the business world, and immersion in the Data ecosystem to develop high-value leaders for organizations, equipped to address today’s and tomorrow’s challenges.”
Dimitry Carien
Head of MSc
3
certifications DataCamp
Data Scientist in Python, Data Scientist in R et Associate AI Engineer for Data Scientists
MSc in Data Management Program (2026/27)
The number of teaching hours is 665h.
- Programming Python for Data & AI
- Business Intelligence & ETL Processes
- Foundations of Databases
- Econometrics & Time Series
- Mathematics for Data Science
- Algorithmics & Programming with GenAI
- Graph Analytics for Business
- Spark & Lakehouse Engineering
- Cloud Data Platforms & DataOps
- Data Orchestration & Pipelines
- Supervised Learning
- Unsupervised Learning
- Security, Privacy, Data & AI Governance
- MLOps Foundations
- Deep Learning
- Blockchain et Cryptomoney
- Agentic AI & GenAI Studio
- Digital Marketing Analytics & Growth
- Arduino Innovation Project and IoT
- Business English
- Economics & Business Drivers of Digital Transformation
- Data Storytelling, Visual Design & BI Dashboards
- Réglementation européenne du numérique et de la donnée
- Project Management for Data/AI
- Innovation, Design Thinking & Data Products
- Leadership & Management — Cours Florent
- Study Mission — Business Tour
- Master Class
- Cycle de conférences — Métiers de la Data et de l’IA
- DataCamp — Data Scientist in Python
- DataCamp — Data Scientist in R
- DataCamp — Associate AI Engineer for Data Scientists
Work-Study within the MSc in Data Management
To support students in securing a work-study placement, a dedicated career advisor provides personalized guidance, reviews and approves their CV, and assists them throughout the application process to help them find a host company.
*Work-Study is only available for French students. International students will instead be submitted to an intership
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What to do after the MSc in Data Management?
Professional integration
Following successful completion of the MSc in Data Management, graduates can aspire to a wide range of positions, such as the following:
- Data Analyst
- Data scientist
- BI Analyst
- Data Strategist
- Big Data Consulting
- Data Risk Manager
- Big Data Marketer
- Business Analyst
- Chief Data Officer
- Data Management Officer
The school does not offer any track beyond graduation from this program.
Testimony
I chose this course because it has a solid reputation in big data and because of the exciting subjects it offers, such as artificial intelligence and project management. The main advantages of this course are that it is delivered on a work-study format and that the diploma is internationally recognized, which opens the door to global opportunities. The teaching staff, most of whom are PhD holders, provide high-quality, consultancy-oriented teaching.
I've now been on work-study for 2 years as a Data Engineer at Crédit Agricole, and this course has given me a real boost. My future goal is to pursue a PhD in artificial intelligence or big data, in partnership with world-renowned companies, thanks to the solid foundation that this training has given me.
Nelson BODA
Data Engineer in work-study at Crédit Agricole Payment Services
How to join the MSc in Data Management?
The admission process for the Paris School of Business MSc in Data Management consists of an application review, and an individual interview. Applications are submitted directly through Paris School of Business,
1.
Apply
Download and send us our application form or apply with our online application
2.
Application Review
The Paris School of Business admissions committee carefully reviews your application.
3.
Individual Interview
You will attend a motivation interview either in person or remotely to validate your admission.
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Paris School of Business processes the collected data in order to manage your requests for information and support you in your orientation. We inform you that Paris School of Business uses your data for marketing purposes to personalize and adapt its service offers to your needs and to establish statistics and marketing profile models. By providing your contact details, you agree to be contacted by our advisers from Monday to Friday from 9:30 to 19:00. Your data will be kept for a period of 3 years; to learn more about the management of your personal data and to exercise your rights, please consult the school's data protection policy or send an email to the data protection officer of the school of your choice. Data protection policy