UNIVERSITÉ PARIS-SACLAY · FRANCE
M2 Data Management in Large-Scale Distributed Systems (DataScale)
Master's · Taught in fr
At a glance
12 mo
Duration
—
IELTS
—
Tuition / yr
fr
Language
Master's
Level
- 40Available Places
- Master's DegreeDegree Level
- Full-timeAttendance Mode
- FrenchLanguage of Instruction
- Data Science & AI ExpertiseSpecialization
- Mandatory InternshipPractical Experience
The DataScale program is a Master's degree specialization in Computer Science designed to train experts in managing the entire data value chain. This includes data engineering, architecture, and advanced AI analytics. The program aims to equip students with dual expertise: data engineering (design, administration, security, and optimization of large-scale architectures) and data analysis (integration, quality management of heterogeneous data, data mining, machine learning, and AI). The curriculum is structured around a full-time academic period from mid-September to the end of March, followed by a mandatory 5- to 6-month internship starting in April. This blended approach ensures students gain both theoretical knowledge and practical experience. Graduates are prepared for diverse careers such as data scientists, data engineers, or AI analysts in various key sectors. The program also provides a strong foundation for pursuing doctoral studies in public or private research laboratories.
Curriculum
The program's curriculum focuses on developing a comprehensive skill set for managing and analyzing large datasets within distributed systems. Students will gain proficiency in both the engineering and analytical aspects of data science.
- Year 1 (M2)
- Data Engineering
- Large-scale Architectures
- Advanced AI and Machine Learning
- Data Mining and Analysis
- Internship
Careers
Graduates are well-prepared for a variety of roles in the rapidly growing field of data science and artificial intelligence. The program also serves as a pathway for further academic research.
- Data Scientist
- Data Engineer
- Machine Learning Engineer
- AI Analyst
- Chief Data Officer
- Database Administrator (DBA)
- Data Security Administrator (DSA)
- Information System Architect
- Architect/Designer/Developer of Big Data, Web and IoT applications
- Researcher (after PhD)
- Lecturer (after PhD)
Frequently asked questions
- What are the entry requirements for the M2 DataScale program?
- Applicants need a solid background in database management, typically a Master's degree in IT, or an engineering/computer science Master's degree from outside France. The program is offered as an initial training course.
- What is the language of instruction for this program?
- The language of instruction for the M2 DataScale program is French.
- How long is the program, and does it include an internship?
- The program consists of an academic period from mid-September to the end of March, followed by a mandatory 5- to 6-month internship starting in April.
- What are the tuition fees for international students?
- Tuition fees may vary. For detailed and up-to-date information on international student rates, please refer to the Université Paris-Saclay tuition fees page.
- What career opportunities are available after completing the DataScale program?
- Graduates can pursue roles such as Data Scientist, Data Engineer, Machine Learning Engineer, or AI Analyst. The program also prepares students for further academic research through doctoral studies.
- What is the application period for the program?
- The application period for the M2 DataScale program runs from February 16, 2026, to July 10, 2026.
Entry requirements
Master's Level in Computer ScienceSolid background in database management required. Suitable for students with a Master's degree in IT (France), final year engineering students in dual programs, or those holding an engineering/computer science Master's degree from outside France.
The program is offered exclusively as an initial training course.
Fees
Tuition (international)Refer to the university's official tuition fees page for current international student rates.
Tuition (home)Refer to the university's official tuition fees page for current domestic student rates.
LivingEstimated living costs are not provided on this page. Please consult the university's cost of living information.
Tuition fees may vary. For detailed and up-to-date information, please visit the Université Paris-Saclay tuition fees page.
How to apply
1. Check EligibilityEnsure you meet the academic and background requirements for the Master's program.
2. Prepare DocumentsGather all necessary supporting documents, including diplomas, transcripts, CV, motivation letter, and language certificates.
3. Submit ApplicationComplete and submit your application through the Université Paris-Saclay Inception Platform.
4. Attend Interview (if required)Some programs may require an interview as part of the selection process.
5. Accept OfferIf admitted, formally accept the offer of admission.
6. EnrollmentComplete the final enrollment procedures with the university.
Scholarships
International Master's scholarshipsVaries
Eiffel Excellence ScholarshipVaries
Frequently asked questions
What are the entry requirements for the M2 DataScale program?
+
Applicants need a solid background in database management, typically a Master's degree in IT, or an engineering/computer science Master's degree from outside France. The program is offered as an initial training course.
What is the language of instruction for this program?
+
The language of instruction for the M2 DataScale program is French.
How long is the program, and does it include an internship?
+
The program consists of an academic period from mid-September to the end of March, followed by a mandatory 5- to 6-month internship starting in April.
What are the tuition fees for international students?
+
Tuition fees may vary. For detailed and up-to-date information on international student rates, please refer to the Université Paris-Saclay tuition fees page.
What career opportunities are available after completing the DataScale program?
+
Graduates can pursue roles such as Data Scientist, Data Engineer, Machine Learning Engineer, or AI Analyst. The program also prepares students for further academic research through doctoral studies.
What is the application period for the program?
+
The application period for the M2 DataScale program runs from February 16, 2026, to July 10, 2026.