Graduate Summer School in Data Science
Rome, Italy
DURATION
1 up to 2 Weeks
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
30 Jun 2025
TUITION FEES
EUR 1,700 *
STUDY FORMAT
On-Campus
* week one | EUR 1700 - week two
Introduction
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.
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.
Dates: June 30 – July 11, 2025
ECTS: 4 or 6
Topics: AI, machine learning, NLP, ethics
Tuition: €1,700/week
Covering topics like AI, machine learning, NLP, and ethics in tech, this program awards 4–6 ECTS and runs from June 30 to July 11, 2025. Tuition is €1,700 per week, and the course includes project-based assessment.
Admissions
Shape Your Future with the Graduate Summer School
Curriculum
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 study at Luiss Guido Carli
A high-quality experience that combines theory and practice in an international and stimulating environment. The Luiss Graduate Summer School in Data Science prepares participants to tackle the current and future challenges of data analysis, offering a solid foundation for a career in artificial intelligence and data science.