Master in Data Science and Management
Rome, Italy
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 15,000 / per year *
STUDY FORMAT
On-Campus
* Luiss tuition fee is to be paid in three installments
Key Summary
The Master’s Degree in Data Science and Management trains future leaders in the fields of artificial intelligence, big data and management. Through a multidisciplinary and applied approach, the programme equips students to turn data into strategic insight and innovation, combining analytical, technical and managerial expertise.
The programme provides a solid foundation in data science, machine learning, AI and strategic management — designed for students who aim to become data-driven decision makers in businesses, institutions and start-ups.
It bridges the gap between data and management by integrating computational and analytical skills with organisational, ethical and strategic perspectives.
The curriculum adopts a hands-on approach: practical applications, case studies and experiential projects allow students to transform data into real business value and to understand the ethical and legal implications of AI and automation.
- Degree class: LM-91
- Programme Director: Prof. Blerina Sinaimeri
- Duration: 2 years (120 ECTS)
- Language: English
- Campus: Rome
Luiss offers both full and partial tuition fee exemptions and scholarships, made possible through the contribution of public and private partners. Students can benefit from concrete financial support throughout their studies. The University has also signed agreements with Italian banks to provide flexible, unsecured loan solutions.
The Master’s in Data Science and Management combines a strong technical foundation with managerial applications.
Students develop expertise in programming, statistics, machine learning and AI, while learning how to apply these tools to decision-making, innovation and business strategy.
Study Plan
Year I
First semester
- Data Driven Management – 6 ECTS
- Data Science in Action – 6 ECTS
- Data Visualisation – 6 ECTS
- Statistical Foundations of Data Science – 6 ECTS
- Computing Infrastructures for Data Science – 6 ECTS
Second semester
- Ethics for AI – 4 ECTS
- Deep Learning – 6 ECTS
- Regulation for AI – 6 ECTS
- Data Privacy and Security – 6 ECTS
- Digital Ecosystems – 6 ECTS
- Optimization Methods in Management Science – 6 ECTS
Year II
First semester
- Statistical Learning – 6 ECTS
- Foundation Models – 6 ECTS
- Two Elective Courses – 12 ECTS
Second semester
- Internship – 6 ECTS
- Final Thesis – 16 ECTS
- Other Activities – 12 ECTS
Total: 120 ECTS
Graduates of the programme are equipped to manage and analyse data in complex organisational contexts, turning information into competitive advantage.
Career paths include:
- Data Scientist – solving complex problems through advanced quantitative and computational methods.
- Data Intelligence Analyst – integrating analytics into business and strategic processes.
- Data Manager – overseeing large-scale data systems, ensuring data reliability, security and ethical management.
- AI or Digital Strategy Consultant – designing and implementing AI-driven business solutions.
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