International Master in Business Analytics and Big Data POLIMI Graduate School of Management

The International Master in Business Analytics and Big Data (BABD) is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, thanks to its constant relationship with the Big Data Analytics & Business Intelligence Observatory of the Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management.

International Masters Office Website

Start date: October
Format: Full-time
Duration: 12 months
Language: English
Location: POLIMI Graduate School of Management (Milan, Italy)
Admission requirements: 3-year bachelor’s degree in Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics; English proficiency
Company partners: BCG, Cefriel, IBM, Telepass

Aims

The programmes provides young and highly-motivated candidates with the knowledge, skills and competencies required to meet the accelerating demand for data scientists. The course is designed to enhance managerial talent by harnessing the power of data and turning it into knowledge and business value.

The International Master in Business Analytics and Big Data (BABD) is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, thanks to its constant relationship with the Big Data Analytics & Business Intelligence Observatory of the Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management.

The programme provides young and highly-motivated candidates with the knowledge, skills and competencies required to meet the accelerating demand for data scientists. The course is designed to enhance managerial talent by harnessing the power of data and turning it into knowledge and business value.

The course is divided into six major modules: General Management, Data Management and Warehousing, Fundamentals of Statistics and Data Visualisation, Predictive Analytics and Business Applications, Analytics for Management and Elective courses. 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 the final exam.

Students will have the opportunity to follow elective concentrations on topics such as: Analytics for Finance, Analytics on Customer Experience, Social Media Marketing, Analytics for Supply Chain Management.

For updated deadlines for applications and further information, please visit www.gsom.polimi.it/babd

For more information and assistance with your application, please write to infomasters@gsom.polimi.it

  • International class
  • International faculty
  • Lessons in foreign language 100%
  • International study tours
  • International traineeship
  • Traineeship at international companies
  • Attendance of the master abroad
  • Issuance of foreign diploma and certifications
Admission Requirements:
  • Bachelor
  • Equivalent qualification
  • Undergraduate
Cost of the master: 18500 VAT free
  • Tutoring
  • Laboratories
  • Wifi access
  • Disability services
  • Canteen/Meal tickets
  • Sport activities
  • Cultural activities
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POLIMI Graduate School of Management

        International Master in Business Analytics and Big Data

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                    • Milan - Italy October 10, 2022

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                    Provenance Students Worldwide:
                    Italy
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                    20%
                    Gender:
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                    50%
                    Job Experience:
                    YES50%
                    NO50%
                    Age of participants:
                    • Under 25

                      50%
                    • 26 - 30

                      50%
                    Total:
                    200
                    Foreigners:
                    50%
                    Profession Teaching Staff:
                    30%
                    University professors
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                    Researchers/lecturers/visiting professors
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                    Professionals
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                    Consultants/freelancers
                    25%
                    Managers
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