Data Science and AI International Summer School 2025

About

🌍 Data Science and AI International Summer School 2025
📅 When: July 19–27, 2025
📍 Where: “Ion Gh. Roșca” Training Center, Predeal, Romania
🌐 More info & registration: datascience.ase.ro
🔎 WHAT IS IT?
The Data Science and AI International Summer School is an immersive, 9-day learning experience that brings together students, researchers, and professionals from around the world to explore the latest developments in Data Science and Artificial Intelligence — all while surrounded by the stunning Carpathian Mountains in Predeal, Romania.

This year’s edition brings together 13 internationally renowned professors from the USA, Norway, Spain, the UK, the Netherlands, Austria, Slovenia, and Bulgaria, delivering lectures and hands-on sessions on cutting-edge topics using Python.

The program includes:

✅ Daily lectures and hands-on sessions (approx. 6 hours/day)
✅ Topics including:
• Statistics & Machine Learning
• Large Language Models, Conversational & Agentic AI
• Time Series & Graph Data
• AI Pipelines & Data Sharing
✅ Group mini-projects using Python and Jupyter Notebooks
✅ A mix of students and business professionals for a rich, collaborative experience
✅ Leisure and social activities every day to connect and relax

🎯 COURSE AIM
The aim of the summer school is to provide participants with a solid foundation in Data Science and AI, along with practical skills that can be directly applied to research and real-world projects. Through a mix of theoretical sessions and interactive exercises, the program empowers participants to:

Understand and apply modern AI and Data Science paradigms

Build and analyze data-driven solutions

Collaborate with a diverse international cohort

Develop skills in Python-based tools widely used in industry and research

🧠 WHO CAN APPLY?
We welcome applications from:

🎓 Bachelor’s, Master’s, and PhD students from any university

🏫 Members of the ASE (Bucharest University of Economic Studies) community

💼 Young professionals and early-career talents from the business environment

Prerequisites:

Familiarity with computer programming and basic Python

Interest in data and AI

Enthusiasm, curiosity, and a willingness to learn!

🏨 LOCATION & FACILITIES
The summer school takes place at the modern “Ion Gh. Roșca” Training Center of ASE, located in Predeal, a scenic mountain resort. The center offers:

⭐ 4-star facilities

Spacious lecture rooms and halls

On-site accommodation and parking

3 meals a day served by one of the most prestigious restaurants in Predeal

Enjoy a high-quality learning environment surrounded by nature—perfect for focused study and relaxation alike!

💡 Powered by OMV Petrom
🤝 In collaboration with the GATE Institute at Sofia University and several major EU projects: DataCloud, enRichMyData, Graph-Massivizer, UPCAST, and InterTwino

Target group

DSISS is designed for a diverse and motivated group of participants who are eager to expand their knowledge and practical skills in Data Science and Artificial Intelligence. The ideal participants include:

- Bachelor’s, Master’s, and PhD students from any university, especially those studying computer science, data science, AI, engineering, mathematics, economics, or related fields

- Members of the ASE (Bucharest University of Economic Studies) academic community

- Young professionals and early-career researchers working in data-driven roles or industries

- Business practitioners and industry talents looking to apply AI and data science in real-world scenarios

Course aim

The aim of the Data Science and AI International Summer School is to equip participants with a strong foundation in both theoretical and practical aspects of Data Science and Artificial Intelligence. Through an immersive and hands-on program, students will explore core concepts, cutting-edge technologies, and real-world applications—preparing them to apply modern AI and data science techniques in academic, research, or professional contexts.

The course emphasizes:

- Understanding key paradigms and methods in Data Science and AI

- Gaining practical experience through interactive coding sessions and group projects

- Developing the ability to analyze, model, and interpret data using modern tools and techniques

- Fostering collaboration and networking within an international, multidisciplinary environment

Fee info