Founded on the idea of empowering people to succeed in a digital world, the International University of Applied Sciences first came into existence in 1998. And since receiving accreditation from the German Council of Science and Humanities, IU’s grown into Germany’s biggest university. The university's mission is to create inclusive, global and wholly accessible education.

IUAS is one of Germany's leading private Universities of Applied Sciences. IU International University of Applied Sciences place a strong emphasis on quality. That is why all of the institution's study programs are state-approved, bears the seal of German Accreditation Council and are globally recognised.

Business intelligence and data reporting have a double importance for modern-day businesses: they help them to better understand and improve their daily operations, and they help them plan and assess what they need to do in the future. With the Master’s programme in Business Intelligence, you’ll be able to develop a strong base of knowledge in the business and technical aspects of data management and business intelligence. Use that knowledge to help make businesses better, and develop an international career in a fast-growing industry sector.

With your Master's in Business Intelligence, you can expect excellent career prospects in global companies looking to improve their business operations by analysing data.  

Accreditation: 
IU is accredited and certified with a seal of approval from the German Accreditation Council. All IU study programmes, materials, and services meet high internal and external quality standards, which are regularly reviewed and updated.

Scholarship:
• Scholarship Programme 
• Deutschlandstipendium (German scholarship)

First Semester:
Business Intelligence I
Concepts in Data Management
Corporate Governance of IT, Compliance and Law
Relational and NoSQL Databases
Data Query Languages
Project: Business Intelligence

Second Semester:
Seminar: Ethic & Societal Considerations in Data Management
Strategic Management
Data Warehousing Architecture Types
Extract, Transform and Load Technologies
Advanced Research Methods
Seminar: Data Warehouse Approaches and Methodologies

Third Semester:
Data Modeling and Reporting
Project: Data Modeling and Reporting
Elective A
Elective B

Fourth Semester:
Master Thesis