The term "data science" describes a field of increasing importance involving the extraction of information from very large and unstructured data. Its applications include but are not limited to the following:
in economics for using customer data to anticipate behaviour or predict market share or product life cycles
in engineering, a field in which autonomous driving and image processing are of increasing importance
in the humanities, a field in which translation and natural language processing have shown promising results and created new exciting fields such as digital humanities
in social network analysis
in medicine for cures that are designed for all kinds of diseases and treatments
The availability of cheap computing power and the exponential increase in available data have fuelled the design of new algorithms within data science and machine learning that heavily rely on elegant mathematics and sophisticated computer science methodology.
The need for well-educated data scientists is clear. Our students work with companies throughout Germany.
Requirements
Entry Requirements
Our programme has a strong focus on an excellent mathematical education and as such we automatically admit graduates with degrees in one of the following:
mathematics
computer science
physics
electrical engineering
Applicants who have graduated with a degree in one of the aforementioned degrees will be accepted if they have gained a sufficient amount of maths-related ECTS points (roughly 27). People with other backgrounds and enough mathematical credit points are typically also admitted, but their applications are checked on an individual basis. Additionally, the course requires German on the level of C1 or equivalent, which is crucial for people needing further mathematical modules that are supplemented from the maths curriculum. Almost all data science lectures are given in English.
Fee Information
How to Apply
Technische Universität Chemnitz
c/o uni-assist e.V.
11507 Berlin
Germany
