M.S. in Big Data and Business Analytics

The degree program is oriented towards all company specialists and executives working to establish new spheres of application and involved in project planning and implementation in the field of BI Consulting, Business Analytics, Project Engineering and Information Analysis.

You can choose between an extra-occupational track (part-time) with lectures on weekends and a classic full-time study program.

The volume of structured and unstructured data available to companies today both from internal and external data sources is growing rapidly. The objective is to utilize this data for targeted sales pitches, in establishing new business fields and in optimizing corporate processes.

Quick Facts

 
Full-time Duration: 2 years
Starting in: October & April
Tuition Fee: full-time €790 / month 
Location: Berlin, Germany

The course is divided into 5-week blocks as is customary at SRH University. It comprises a mix of case studies which become larger and more complex with each semester, and is accompanied by classroom modules, the content of which is directly linked to the case studies. In the first semester, students are taught all the required basic knowledge and methods. The second and third semesters are self-contained units.

Career Opportunities

The study course is oriented towards all company specialists and executives with responsibility for establishing new spheres of application and for project planning and implementation in the field of big data und business analytics, such as:

  • Specialists with a (business) informatics, mathematics or engineering degree who wish to extend their knowledge in the field of business analytics and/or big data analytics and to take on personal responsibility for the planning and coordination of big data projects.
  • Business analysts or specialists who work in the wider sphere of “business intelligence” and wish to extend their knowledge in the field of big data engineering, big data management and/or big data analytics and to take on responsibility for the planning and coordination of big data projects.

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“Students here are from all over the world, they offer sharp, creative input, and analysis from their own unique experiences; so our in class discussions are often fascinating.”

Warren Channell // Student, International Business Administration