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International Master in Business Analytics and Big Data - BABD logo
MIP Politecnico Di Milano logo

International Master in Business Analytics and Big Data - BABD

MIP Politecnico Di Milano
Tuition EUR 14,000 (Tuition (Year)) — International students; EUR 14,000 (Tuition (Year)) — EU/EEA students
Degree Master
Duration 12 months
Delivery On-campus
Location Milan, Italy
Language English

Program Overview

The International Master in Business Analytics and Big Data - BABD at MIP Politecnico Di Milano is a Master programme in Business & Management over 12 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of business & management. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the International Master in Business Analytics and Big Data - BABD programme are well-prepared for careers in academia, industry, government, and the private sector across Belgium and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 12 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. Tuition: EUR 14,000 (Tuition (Year)) — International students; EUR 14,000 (Tuition (Year)) — EU/EEA students
  5. Location: Milano, Belgium

Career Opportunities

Graduates of the International Master in Business Analytics and Big Data - BABD programme are prepared for diverse careers in business & management:

  1. Business Analyst
  2. Management Consultant
  3. Product Manager
  4. Strategy Analyst
  5. Operations Manager
  6. Entrepreneur

Program Curriculum

Course Structure

  1. General Management: strategy and marketing, accounting and finance, organization design, supply chain management.
  2. Data Management and Warehousing: business information systems, data warehouse, data management, data integration and security, big data cloud technologies, semantic web technologies and mobile technologies.
  3. Fundamentals of Statistics and Data Visualization: introduction to descriptive statistics, exploratory data analysis, data visualization process and tools.
  4. Predictive Analytics and Business Applications: big data opportunities and applications, data mining and machine learning, business applications of advanced analytics.
  5. Analytics for Management: supply chain analytics, finance analytics, marketing analytics, organization/HR analytics.
  6. Elective courses: short programs for customizing the training path.

Admission Requirements

Academic Requirements

The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to 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.

Tuition & Financial Information

Tuition Fee

EUR 14,000 (Tuition (Year)) — International students; EUR 14,000 (Tuition (Year)) — EU/EEA students

Tuition fees: EUR 14,000 (Tuition (Year)) — International students; EUR 14,000 (Tuition (Year)) — EU/EEA students

Financial Aid & Scholarships

Contact MIP Politecnico Di Milano directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About MIP Politecnico Di Milano

MIP Politecnico Di Milano logo

MIP Politecnico Di Milano

Milan, Italy

Visit the university profile page to learn more about this institution.

University Profile
  • Start Date 2018-09-01
  • Language English
  • Duration 12 months