MIP Politecnico di Milano - School of Management - MIP Politecnico di Milano Graduate School of Business

International Master in Business Analytics and Big Data - Máster Internacional en Analítica Empresarial y Big Data

MIP Politecnico di Milano - School of Management - MIP Politecnico di Milano Graduate School of Business


With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions.

Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments.

This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano.

Be prepared for the jobs of the future as Business Analyst and Big Data Manager.



Students with 3 or 4-year Bachelor´s degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme.


Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions.
Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions.
Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them.


The programme is divided into six major modules:

General Management: strategy and marketing, accounting and finance, organization design, supply chain management.
Data Management and Warehousing: information systems, data management, data integration and security, big data cloud technologies, semantic web technologies and natural language processing.
Fundamentals of Statistics and Data Visualization: introduction to descriptive statistics, exploratory data analysis, data visualization process and tools.
Predictive Analytics and Business Applications: big data opportunities and applications, data mining and machine learning, business applications of advanced analytics.
Analytics for Management: supply chain analytics, finance analytics, marketing analytics, organization/HR analytics.
Elective courses: short programs for customizing the training path.
The educational programme requires the completion of a final project work, which consists either of a curricular in-company internship, supervised by a faculty member, or of a master thesis that will be defended as final exam.

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