- Degree
- Bachelor of Science in Foundations in Data Science
- Course location
- Chemnitz
- Teaching language
- • English
- Languages
- Previous knowledge of German is not required, but attending German language classes, at least up to B1 level, is part of the programme.
Optional English language classes are also offered (at C1 level only) as part of the programme.
The Bachelor's thesis may be written in English or German.
- Full-time / part-time
- • full-time
• part-time (study alongside work)
- Programme duration
- 6 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- The degree programme starts each year at the beginning of October. It is not recommended to start in April (summer semester) since the classes for beginners are only offered in the winter semester.
When studying full-time, the programme is designed for a period of three years.
In general, classes are only available on-site; online elements may be included occasionally.
- Application deadline
- 15 July for the following winter semester
All documents (see course website) must be submitted by the deadline online via uni-assist: https://www.uni-assist.de/en (https://www.uni-assist.de/en)
Please start your application as early as possible, preferably already at the beginning of April.
International applicants are very welcome!
- Tuition fees per semester in EUR
- None
- Joint degree / double degree programme
- No
- Description/content
- Data scientists are characterised not only by their sound theoretical and practical knowledge, but also by their ability to think logically and abstractly, proceed analytically, communicate precisely, show perseverance in solving complex problems, and work effectively in a team. These skills are at the heart of the Foundations in Data Science degree programme, which also stands out due to its particularly high proportion of mathematics. It is precisely these skills, combined with in-depth mathematical training and state-of-the-art data analysis methods, that open up excellent career prospects for graduates. Another core feature of the degree programme is the close link between mathematics and computer science. This combination enables students to master data-based challenges in practice and to analytically solve complex problems from various fields of application. In the age of digitalisation, in which data increasingly forms the basis for decisions and innovations, interdisciplinary collaboration between mathematics, computer science, and applied sciences is becoming increasingly important.
The degree programme therefore offers numerous options in technical, natural, and social science minor subjects to promote these links.