Our study programme is primarily offered in English. With the possible exception of Digital Transformation of Society, all specialisations can be completed with courses taught in English.
Application period for the following winter semester: May to July
Please check the official website for the exact time periods.
International applicants are encouraged to submit their application documents no later than 15 June.
Why Data Science?
In today’s digital world, data is plentiful; the last decade has shown machine learning methods to be spectacularly effective in discovering useful and meaningful underlying patterns in this overabundance of data. Spurred by this development, there is a growing quest for new and refined algorithms, deeper fundamental understanding of methods and their limitations, and expanding fields of application. Data Science is your field of study if you are...
- strong in mathematics and analytical thinking,
- not afraid of computers and programming,
- and open to applications in technology, business, or social and natural sciences.
Goals of the Programme
As a graduate of the Bachelor's programme in Data Science at the Catholic University of Eichstätt-Ingolstadt (KU), you will master cutting-edge machine learning algorithms and software tools. At the same time, you will have gained broad mathematical and statistical insight to make sense of massive data sets, evaluate results, and develop new approaches and algorithms.
You can choose between six specialisation areas linked to active areas of research at the KU:
- Applied Mathematics and Scientific Computing
- Machine Learning and Statistics
- Environmental Science
- Business Analytics and Operations
- Finance and Economics
- Digital Transformation of Society
The rapid rise of data-driven analysis and decision making has created huge demand for qualified specialists in business and industry, as well as for researchers capable of leveraging and refining data-driven approaches across the entire spectrum of academic disciplines.
As a graduate of the Data Science programme, you will be well prepared to work in analytic and strategic positions in the technology sector, in start-ups, or in public, non-profit, and non-governmental organisations. Just as easily, you may choose to continue your education at Master's or doctoral level at the KU or at a graduate school in the mathematical sciences or technology world-wide.
As courses are taught in English, graduates will find excellent opportunities in the increasingly international Data Science job market.