Overview

Data science is a very young scientific discipline. It deals with ways of obtaining information and recommendations for action from the analysis of large or unstructured amounts of data. The focus of the “Data Science” bachelor's degree is on the areas of software development, scalable data management, machine learning and statistical analysis, which are important in industry and science - supplemented by practical principles from the field of applied mathematics.
The course provides a well-founded training in computer science with options in the field of data analysis as well as basic training in mathematics and statistics.

 

ENTRY REQUIREMENTS

General higher education entrance qualification or subject-related higher education entrance

qualification 1 or technical college entrance qualification or master craftsman's examination as well as comparable qualifications in professional advancement training or professionally qualified persons

 The university decides on the validity of the subject binding for this course.

Course-specific knowledge and skills to be proven prior to admission:

no

Admission restriction:

free (no NC)

CAREER PROSPECTS

The completion of the bachelor's degree in “Data Science” enables you to work in business, administration and science in which methods from computer science and statistics are used to analyze large and heterogeneous data (“Big Data”).

As a data analyst with very good knowledge of computer science and applied mathematics in business and industry, you are specifically trained to solve data analytical problems. There are therefore excellent job prospects for you! Your future areas of activity are usually diverse and interdisciplinary. Smartphone and Internet technologies, the automotive industry, banks and insurance companies or consulting are just a few exemplary industries in which data analysts are in great demand.

In addition, you can of course continue your university education and complete a master’s degree in data science or computer science.


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