Data Science

The Graduate Summer School in Data Science is a unique educational experience designed to explore the main challenges and opportunities in data analysis. With a programme that combines high-level academic lessons and practical activities, students will gain a deep understanding of the fundamental principles of data science and the skills necessary to analyse and interpret data effectively.

REQUIREMENTS AND APPLICATION
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Prepare for the Future Challenges of Data Science

Designed for university students passionate about data science, artificial intelligence and digital transformation, the Graduate Summer School enables them to explore a wide range of cutting-edge topics. Through interactive lessons, academic discussions and hands-on projects, participants will deepen their knowledge of data analysis and discover how advanced technologies are transforming the way we operate.

Key Course Topics

During the Graduate Summer School in Data Science, participants will have the opportunity to study and experiment with:

• Fundamentals of Data Science: key concepts, analysis methodologies and statistical tools.
• Machine Learning and Artificial Intelligence: practical applications and real-world case studies.
• Natural Language Processing (NLP): techniques for processing and understanding textual data.
• Data Security: advanced strategies for protecting sensitive information.
• Ethics and Governance of AI: reflections on the risks and opportunities in managing artificial intelligence.

Syllabus

Week 1: Fundamentals of Data Science and AI

• Statistics and data analysis
• Machine learning and NLP
• Cybersecurity challenges and AI governance

Week 2: Practical Applications and Industry Connections

• Workshops with AI and data science experts
• Analysis of real-world case studies
• Networking opportunities with leading companies

Why choose the Graduate Summer School in Data Science