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Overview

The advancing digitization of all areas of work and life leads to enormous amounts of data. The task of data scientists is to prepare this data in such a way that the companies and organizations working with it can use it profitably.

On the one hand, data scientists analyze the required goals and derive the IT and analysis architectures required to achieve these goals. On the other hand, they recognize the potential of different data sources in order to develop appropriate analysis methods and data storage concepts. You will acquire the necessary basic knowledge in the areas of data analysis and integration, data storage and quality, knowledge management and information provision in the data science course

 

ENTRY REQUIREMENTS

 

he sum of the points achieved in the Abitur certificate is divided: for Abitur certificates with a maximum number of points of 900 points is divided by 30, for Abitur certificates with a maximum number of points of 840 points is divided by 28 (maximum 30 points).

Other selection criteria  (maximum 5 points):

  • Completed professional training in a mathematical, scientific or technical training occupation or previous professional practice relevant to the course (even without completed training)
  • practical activities
  • extracurricular achievements, e.g. B. Awards and Accolades

Selection:
The scores from the school and other criteria are added up (maximum 35 points). A ranking list is created based on the number of points.

 

ENGLISH LANGUAGE REQUIREMENTS

Good knowledge of English (corresponding to level B2). The exact regulations can be found in the examination regulations.

 

CAREER PROSPECTS

Graduates can work in the areas of research, development, operation, project planning and sales, in particular in the following IT areas:

  • Databases, information systems, data modeling and data transformation
  • Distributed, heterogeneous, and autonomous information systems
  • Data integration and data quality, data extraction from unstructured data
  • Scalability of data management and processing
  • Data evaluation, data analysis, visualization of large amounts of data
  • Design and implementation of software systems for data processing

Job profiles for which the course offers particularly specific preparation are those that deal centrally with the acquisition, administration and utilization of data (e.g. data scientist, data curator, data engineer, data Stuart). These are required in a variety of economic and research branches (especially in industry, trade, transport, financial services, insurance, health and social services, information and communication).

Further job descriptions and job information can be found in the BERUFENET database of the Federal Employment Agency:


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