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Wir vermittelt Ihnen im Studium modernste Tools und Techniken, um als Datenanalyst:in in einem Unternehmensumfeld einen entscheidenden Beitrag zu leisten.

Studium: Master, Work-friendly
Big Data and Business Intelligence

Study track of the Master’s degree programme in Data Science and Artificial Intelligence
Subject to approval by the responsible bodies.

Leverage big data to gain new insights in business through modern and intelligent analysis methods and utilize them for decision-making. The study track Big Data and Business Intelligence provides you with cutting-edge tools and techniques to make a significant impact as a data analyst in a business environment.

Leverage big data to gain new insights in business through modern and intelligent analysis methods and utilize them for decision-making. The study track Big Data and Business Intelligence provides you with cutting-edge tools and techniques to make a significant impact as a data analyst in a business environment.

Academic Degree
Master of Science in Engineering (MSc)
Mode of Study
Work-friendly / 4 Semester / 120 ECTS
Language of instruction
English
Head of Degree Programme
Campus
Application Date Start Wintersemester

Did you know, …

… that a wide range of careers are open to our graduates?

Potential employers include companies in the banking and insurance industry, e-commerce and online marketing, pharmaceuticals, bioinformatics and healthcare through to companies involved in business management applications of data mining, such as business and predictive analytics in digital production.

Did you know, …

… that the course is organised in a work-friendly manner?

Lectures are held from Wednesday to Friday in the first year, only one day a week in the 3rd semester, and in a block of five weeks at the start of the 4th semester. In this way you can combine your studies, especially the projects and the Master’s thesis, with part-time employment. Weekends are free. E-learning accounts for a small portion of classes.

Did you know, …

… that there is great demand for experts in data and information science?

Most companies have a huge amount of electronically stored information. Even if data warehouses have been established, the stored information is often not used professionally, e.g. using methods of data condensation, processing and development. These companies need experienced professionals who use their data to generate information and knowledge for decision-making documents, regular analyses or for process control.

The programme on

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