Entro il 30 ottobre sarà possibile presentare la domanda per ottenere le Borse di Studio INPS per la partecipazione a questo Master della Luiss Business School.
The Master in Big Data and Management program prepares students to work effectively with complex, large-scale, real-world data and to create business value from it.It focuses on improving the understanding of customer patterns to increase business and improve profitability. Working in big data management requires a highly interdisciplinary set of competencies: a deep practical expertise in programming and computer science, a good working knowledge of advanced statistical techniques, a thorough understanding of the business world, and excellent communication skills. Finding this set of competencies in a single person is rare. They need to be developed with the right mix of classroom and field learning.The curriculum of the Master in Big Data and Management is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It prepares young professionals to pursue a career as a data scientist or a business analyst. Today many companies, including large industries, consulting firms, and marketing specialists are currently on the hunt for these types of professionals.
The Master provides students with 60 ECTS credits. It teaches them how to harness large amounts of data, design analytical models and how to interpret them to optimize business processes.
The Master is targeted for students with a BA or MS in Economics, Statistics, Engineering or other scientific disciplines. Fluent English and strong motivation are required.
The Master in Big Data and Management is a 12-month programme of intensive training, designed to develop the unique skill set required for a successful career in the world of big data and business analytics.
The curriculum is designed to ensure and support the progressive professional and personal growth of the students. Students will benefit from a productive learning experience made up of lessons, case studies, group work sessions, and a high-level faculty of both academics and professionals. The programme ends with the Field Project which allows students to combine theory and practice.
- Economics of Strategy
- Organization and HRM
- Statistics for Data Science
- Business Law
- Marketing Analytics
- Advanced Visualizations
- Machine Learning
- Data Science Toolkit
- Big Data Programming Models
- Python for Finance
- Programming for Data Analysis I
- Programming for Data Analysis II
- Time Series Econometrics
- Special Topics in Machine Learning
- Practical Big Data: Business Case
Learning labs focus on personal development. During the programme, students develop cross-functional and soft skills by attending sessions during which they will: cultivate intellectual flexibility; develop problem solving skills; learn to adapt in diverse situations; refine cross-cultural awareness.