Big Data Management

The master programme in Big Data Management prepares you for a career in one of the most important areas in future corporate environments.

  • You will learn how to prepare data, how to connect data from different sources, and how to analyse these relationships.
  • You will learn methods of data analysis in artificial intelligence
  • You will evaluate the application of these methods in various corporate scenarios
  • You will critically look at solution providers, as well as the ethical, social, and data protection issues within big data management
  • You will deepen your management expertise, and work on your analytical skills


The first semester focuses on updating and expanding your technical expertise in compulsory subjects of "General Management":

• Service Operations & Organisation
• Performance Measurement & Management
• International Business Ethics
• International Corporate Governance
• International Economic Policy
• Advanced Research Methods
• Applied Statistics
• Language Course I


This semester expands your expertise in:
• International Negotiation Skills
• Leadership
• Language Course II

Under the technical supervision of your lecturers you can choose four out of six possible areas (elective courses) to define a first foundation stone of your personal expertise profile:
• International Organizational Behavior
• Advanced International Human Resources
• International Management Accounting & Control
• International Marketing
• International Financial Management
• International Financial Accounting


In the third semester you will gain knowledge of Strategic Service Management and expand your specialisation in Big Data Management:

• Big Data and the Business Environment
Analytical Frameworks
Applications & Case Studies
Data Science
Data Utilization


This semester is all about completing your studies by writing your Master Thesis as an independent scientific paper for solving a management task under expert supervision of professors and lecturers.

• Master Thesis
• Colloquium

The courses are held in lecture and seminar format. There are about 30 students per class – this encourages dialogue between professors and students.