- Degree
- Master of Data Science
- Course location
- Chemnitz
- Teaching language
- • German
• English
- Languages
- The teaching language is mostly English, but we do have German requirements, so students can take lectures from the undergrad maths curriculum to recap some material and extend their knowledge.
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- 15 July for the following winter semester
15 January for the following summer semester
All documents have to be submitted by the deadline via uni-assist (https://www.uni-assist.de/en/). Please start your application as early as possible.
International applicants are very welcome!
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- 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
• for modelling infectious diseases
• urban modelling
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 many well-known companies throughout Germany and industrial cooperation is already a big part of the degree through jobs, seminars and thesis work.