Brief Information
Master in Data Management 2026 applications are now open for the prestigious MDMC postgraduate program in Italy. This advanced training course equips participants with essential data management, AI, and research skills. Hosted in Trieste, it offers a unique opportunity to study in a leading European scientific ecosystem. Apply before June 30, 2026.
Key Dates & Details
- Deadline: June 30, 2026 (13:00 Italian time)
- Location: Trieste, Italy (with some online flexibility for non-EU students)
- Program Duration: ~10 months (Sept 2026 – June 2027)
- Organizers: SISSA & Area Science Park
- Credits: 60 ECTS
- Tuition Fee: €4,500 (Regular) / €2,500 (Auditor)
- Scholarships: Available (up to €9,000 + additional grants)
- Target Group: Students, graduates, researchers, data enthusiasts
- Official Language: English
Table of Contents
Overview
The Master in Data Management 2026 (MDMC) is a one-year advanced postgraduate program designed to train the next generation of data professionals. Developed by SISSA – Scuola Internazionale Superiore di Studi Avanzati and Area Science Park, the program focuses on building both theoretical knowledge and practical expertise in managing complex data ecosystems.
Participants will learn how to design, structure, and manage data pipelines while applying FAIR principles (Findable, Accessible, Interoperable, Reusable). According to the official call , the program emphasizes the importance of data quality, traceability, and interoperability in modern research and AI-driven environments.
The curriculum combines classroom learning with a 6-month traineeship, allowing students to work on real-world projects in research labs or partner companies. This hands-on experience ensures that graduates are job-ready for both academia and industry.
Additionally, the Master in Data Management 2026 aligns with European Open Science policies and the European Open Science Cloud (EOSC), preparing participants to contribute to international research infrastructures. Skills gained are highly transferable to fields such as data analytics, business intelligence, and AI systems.
Additionally, the program fosters interdisciplinary collaboration, connecting data science with real-world research challenges, innovation ecosystems, and industry needs, enhancing global career prospects significantly for participants.
Eligibility
To apply for the Master in Data Management 2026, candidates must meet the following requirements:
Academic Requirements
- Bachelor’s degree, Master’s degree, or equivalent
- OR Diploma from an Italian Higher Technical Institute (ITS)
Technical & Knowledge Requirements
- Basic Python programming skills
- Basic mathematics (undergraduate-level analysis)
- Basic statistics (probability, hypothesis testing, etc.)
- Understanding of data structures and programming fundamentals
Additional Requirements
- Proficiency in English
- Access to a personal computer with a Linux environment
Application Details
Applications for the Master in Data Management 2026 must be submitted online through the official platform:
https://pica.cineca.it/sissa/ilas-mdmc-2026
Selection Process
- Evaluation based on CV and motivation letter
- Possible online interview
- Only 15 candidates will be selected
Program Structure
- 250 hours of lectures (mainly in-person in Trieste)
- 500 hours of traineeship
- 125 hours thesis project
- 625 hours individual study
Financial Support
Several funding opportunities are available, including:
- Full tuition scholarships (€9,000)
- Partial grants (€3,000–€4,500)
- Additional regional support
Note: Scholarships cannot be combined.
FAQ
1. Is the Master in Data Management 2026 fully funded?
Not fully for all participants, but multiple scholarships and financial grants are available.
2. Can non-EU students apply?
Yes, non-EU students can apply and may attend online temporarily until their visa is issued.
3. Do I need strong coding skills?
Basic Python knowledge is required, but advanced programming is not mandatory.
4. What career opportunities does this program offer?
Graduates can work in data science, research, AI, data governance, and business intelligence roles.
Official Link
Apply now and read full details:
https://areasciencepark.it/call/mdmc/
Visit more opportunities on Oppotify:
https://oppotify.com
