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.

Data Management is one of the most crucial work skills for the foreseeable future, and many predict that this trend will only increase. As an expert Data Manager with an internationally recognised degree, you’ll be primed for a long and successful career, and sought after by a wide variety of companies, across different industries.

By earning your degree from a German higher education institution, where data protection laws are some of the strictest in the world, you’ll develop a competitive edge over other Data Managers, and be ready to take on challenges in industry-leading corporations. Help companies design secure systems for storing data, and analyse it in an optimal way.

With IU’s Master’s in Data Management degree programme, you’ll develop a wide range of skills that are all vital for successfully managing and safeguarding data: Data Processing, Storage, Analysis, Ingestion and Reporting. 

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)

Online Studies

First Semester:
Concepts in Data Management
Database Concepts and Technologies
Data Query Languages
NoSQL Databases
Seminar: Ethic & Societal Considerations in Data Management
Advanced Research Methods

Second Semester:
Data Engineering
Big Data Technologies
Data Warehousing, Pipelines and Orchestration
Managing Data Projects
Seminar: Cloud Providers and Services
Project: Data Engineering

Third Semester:
Programming with Python
Project: Data Analysis in the Cloud
Elective A
Elective B

Fourth Semester:
Master Thesis