International Masters in Business Analytics and Big Data MIP Politecnico di Milano

The International Masters in and Big Data are the 12-month programmes designed to train a new generation of data-savvy professionals to be able to manage complex business analytics problems across a variety of different industries and environments

International Masters Office Website

Start date: September
Format: Full time
Duration: 12 months
Tuition fee: €18,500
Language: English
Location: MIP Politecnico di Milano Graduate School of Business (Milan, Italy)
Admission Requirements: 3-year Bachelor’s Degree in Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics

Endgültigkeit

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.

In the current global business ecosystem big data analytics represents a new frontier for companies, as data is considered to be the new competitive fuel and the ability and there is now a fundamental need to extract its maximum value to optimise decision-making processes. With the Big Data revolution, an ever-growing number of leading organisations and governments are launching initiatives to gain actionable insights, drive key decisions and improve performance across all business functions and industries.

In the wake of this awareness and given the growing demand for professionals able to handle big data and optimise its benefits, MIP Politecnico di Milano has designed a set of dedicated international specialising masters to train a new generation of data-savvy professionals qualified to manage complex business analytics problems across a variety of different industries and environments:

-          International Master in Business Analytics and Big Data – in partnership with IBM and Cefriel

-          International Master in Big Data for Supply Chain Analytics

-          International Master in Big Data for Healthcare and Biotech

The 12-month programmes are taught entirely in English and are structured to guide young and highly-motivated candidates to achieve a series of educational objectives through an experiential approach to both intellectual studies and hands-on application with labs, business cases, contributions by industrial companies and internships.

  • Internationale Klasse
  • Internationale Lehrer
  • Fremdsprachenunterricht 100%
  • Studienreise im Ausland
  • Prägenden Praktikum im Ausland
  • Ausbildung bei internationalen Unternehmen
  • Kursbesuch an ausländischen Standorten
  • Frage ausländischer Qualifikationen
Voraussetzungen für die Zulassung:
  • Bachelor-Abschluss
  • Gleichwertige Qualifikation
  • Absolventen
Candidates activating their application by January 31st, 2021, can be eligible to run for an Early Bird discount of €1000 on their tuition fee.*
Kosten für den Master: 18500 MWSt befreit
Es gibt Stipendien
  • Nachhilfe
  • Labor
  • WiFi-Zugang
  • Behinderte Zugänglichkeit
  • Kantine/Essensgutscheine
  • Sportliche Aktivitäten
  • Kulturelle Aktivitäten
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MIP Politecnico di Milano

        International Masters in Business Analytics and Big Data

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                  • Andere Ausgaben
                  • Milan - Italien 15. September 2021

                  Social stream

                  Provenienz Studenten weltweit:
                  Italien
                  20%
                  20%
                  20%
                  20%
                  20%
                  Geschlecht:
                  50%
                  50%
                  Berufserfahrung:
                  JA 50%
                  NICHT 50%
                  Alter der Teilnehmer:
                  • Unter 25

                    50%
                  • 26 - 30

                    50%
                  Gesamt:
                  200
                  Ausländer:
                  50%
                  Beruf Lehre Mitarbeiter:
                  30%
                  Akademiker
                  10%
                  Forscher/Leser/Gastprofessorin
                  25%
                  Professionals
                  10%
                  Berater/Freelancer
                  25%
                  Manager
                  * Die Daten könnten zur Schule und nicht den Master bezogen werden