The Master in Big Data Management program prepares students to work effectively with complex, real-world data and to create value from it.
Big Data Management focuses on improving the understanding of customer patterns to increase business and improve profitability. Working in big data management requires a hybrid set of competencies: computer expertise with a good 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 Master in Big Data Management curriculum 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 business analyst for companies including large industrials, consulting firms and marketing specialists.
The Master provides students with 60 ECTS credits. It teaches them how to harness large amounts of data, design analytical models and interpret them to optimize business processes.
Among the competences provided:
- Skills to collect, process and extract value from large and diverse data sets
- Capacity to work with different computing tools in order to address complex problems
- Imagination to understand, visualize and communicate findings to non-data scientists
- Ability to create data-driven solutions that boost profits, reduce costs and improve efficiency
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.
Il piano di studi è costituito da una serie di corsi fondamentali e laboratori.
Economics of Strategy, Introduction to Big Data Infrastructure, Data Management for Big Data Introduction, Introduction to Big Data Programming, Introduction to Statistics for Data Scientist
TERM 2- TERM 3
Accounting, Strategy, Access Tools and Informational Discovery, Econometrics, Financial Management, Business Law, Organization and HRM, Kachine Learning, Advanced Programming for Big Data, Economics Forecasting, Advanced Visualization, Marketing Analysis
The Field Project represents the moment in which the students put into practice the knowledge gained through the program.
BIG DATA LAB
GOING GLOBAL LAB
SOCIAL AND ENVIRONMENTAL IMPACT LAB
SOFT SKILLS LAB