Statistics and data science deals with the collection, processing, organization and management of data, the methodology for its analysis and the communication of results. Technological progress means that more and more information is being collected in more and more areas. This leads to new challenges, especially as modern data is often available in unstructured form (texts, images, videos, etc.). The aim is to provide application-oriented training in methods and the acquisition of comprehensive data literacy, which should enable graduates to gain valuable insights from data in their role as statisticians and data scientists. The term "insight" is broadly defined here and includes, among other things, forecasts, recognizing correlations and estimating important parameters.

In addition to a wide range of statistics courses, selected courses from the Information Systems and Computer Science programs are also used to teach computer skills (e.g. databases, data mining, artificial intelligence, programming languages) that are relevant for working with data. This Bachelor's degree program serves both as relevant professional training and as preparation for the advanced Master's degree program in Statistics and Data Science and also provides access to other Master's degree programs, particularly in the field of economics.

Prospective Careers

The corresponding job profile is as follows: Wherever data is collected, systematically managed, evaluated and presented on a large scale, there are career opportunities for statisticians and data scientists. The most important areas in which graduates of the Bachelor's degree program in Statistics and Data Science find employment are Research institutions (in areas such as economics and social sciences, environmental sciences, climate research, medicine, biology, pharmacy, etc.), banks and insurance companies, trade, industry (quality assurance, reliability control, production optimization), the internet sector, consulting, statistical offices, market and opinion research.

Taking into account the diversity of these fields of application, the Bachelor's degree program in Statistics and Data Science teaches a range of basic skills that enable graduates to familiarize themselves with the field quickly and without major problems. These skills primarily include

- Basic knowledge: In particular, this means a solid knowledge of the mathematical foundations of statistics. This knowledge is imparted through relevant lectures and exercises.

- Methodological knowledge: This means familiarity with the most important models and methods of applied statistics. A series of application-oriented courses serves to impart this knowledge.

- Interdisciplinarity: Statisticians and data scientists must have the ability to work together with specialists from other fields of activity.

- Ability to innovate: The willingness and ability to continue learning independently and to pursue new developments should be developed. These skills are primarily acquired in seminars and internships as well as during the Bachelor's thesis.

- Social skills: The ability to work in a team, the ability to gather information, sociability, etc. are encouraged wherever possible. Seminars, internships and frequent practice of independent presentations help to develop these skills.

- Internationality: Mastery of the English language is promoted through the use of English course materials and English specialist literature.

Translated with DeepL.com (free version)