International University of Applied Sciences

Master of Science - Data Management

Take your place in a fast-paced and rapidly developing field: study for a Master’s in Data Management, and be ready for the future.

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 online 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.

Your Degree Summed Up


  STUDY MODEL

Master of Science (M.Sc.)
Study format: 100% Online


  ACCREDITATION

120 ECTS option and 60 ECTS option (European Credit Transfer System). Accredited in line with German and European standards


  DURATION OF STUDY

4 semesters – 24 months – 120 ECTS option
2 semesters – 12 months – 60 ECTS option


  ADMISSION

120 ECTS – Bachelor degree – minimum 3 years 
60 ECTS – Bachelor degree – 4 years, one year experience
Previous study in Math, Statistics, Programming, Computer Science or proof of work knowledge 
At least overall C grade 
English Skills (IELTS, TOEFL, Cambridge, etc.)


  STUDY FEES

120 ECTS – Euros 4,964 for full degree
60 ECTS – Euros 3,288 for full degree


  ASSESSMENTS

Online Assignments and Exams
 

Course Overview - Option 1 - 120 ECTS 4 Semesters

MODULES ECTS
Concepts in Data Management 5
Database Concepts and Technologies 5
Data Query Languages 5
NoSQL Databases 5
Seminar: Ethic & Societal Considerations in Data Management 5
Advanced Research Methods 5
 

 

MODULES ECTS
Data Engineering 5
Big Data Technologies 5
Data Warehousing, Pipelines and Orchestration 5
Managing Data Projects 5
Seminar: Cloud Providers and Services 5
Project: Data Engineering 5
 

 

MODULES ECTS
Programming with Python 5
Project: Data Analysis in the Cloud 5
Electives A 10
Electives B 10
 
MODULES ECTS
Master Thesis & Colloquium  30
 

Electives for 120 ECTS Option

For the 120-ECTS programme, you’ll choose two elective modules, equaling 20 ECTS credits of your overall degree.

Course Overview - Option 2 - 60 ECTS 2 Semesters

MODULES ECTS
Concepts in Data Management 5
Database Concepts and Technologies 5
Big Data Technologies 5
Data Warehousing, Pipelines and Orchestration 5
Managing Data Projects 5
Advanced Research Methods 5
 

 

MODULES ECTS
Seminar: Cloud Providers and Services 5
Electives 10
Master Thesis & Colloquium  15
 

 

Electives for 60 ECTS Option

For the 60-ECTS version of this degree, your elective will equal 10 ECTS credits of your overall degree. The electives you can choose are listed below.

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