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.

In this age of digitalisation, data science plays an increasingly important role in the media landscape and our social discourse. Exciting use cases, technological innovations, or controversial discussions: it’s not always easy to keep track.

As a result of the field`s vitality, data scientists are in great demand. In many organisations, data literacy, and therefore, the number of “Citizen Data Scientists” – people who create models based on advanced diagnostic analytics, although their actual jobs are outside this area of competence – is increasing. Against this background, data science experts are indispensable when it comes to developing and testing hypotheses, as they are the ones who help companies make sense of the data they collect.

Our online or on-campus Master in Data Science focuses primarily on current developments in software and infrastructure engineering, as well as on Big Data technology. You’ll learn to fully develop your problem-solving skills, and how to take a methodical, focused, and logical approach to data science problems. 

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:
Data Science
Advanced Mathematics
Seminar: Data Science and Society
Advanced Statistics
Use Case and Evaluation
Project: Data Science Use Case

Second Semester:
Programming with Python
Machine Learning
Deep Learning
Big Data Technologies
Electives A

Third Semester:
Cyber Security and Data Protection
Case Study: Model Engineering
Software Engineering for Data Intensive Sciences
Electives B
Seminar: Current Topics in Data Science

Fourth Semester:
Master Thesis