"School mathematics" and "university mathematics" are very different. The bridge course in mathematics makes it easier for you to start your studies by building a bridge between school and university mathematics.
We live in a world of data collection. Whether in social networks, in e-commerce, in medical research, in the city administration or at the production site next door: data is accumulating everywhere - sometimes in huge quantities and in a completely confusing way. Our modern world relies on professionals who know how to tame this data, to illuminate its complexity, to detect hidden patterns in it, and to make it usable.
This is where data science comes into play. Our broad and solid training, which includes areas such as data preparation, analysis, and visualization, will make you a sought-after professional, a data scientist.
The Data Science program at the University of Regensburg is based on several pillars:
We provide you with exactly the mathematics, statistics and computer science knowledge you need to be a successful data scientist. Based on this solid foundation, you can flexibly design the rest of your studies. Our wide range of mandatory electives allows you to apply the tools you have learned to a variety of topics. Whether tumor research or quantum mechanics, fake news detection or IT security - there is hardly a wish left unfulfilled. In addition, you can individually deepen your knowledge of tools in the elective area and even choose courses from the entire range of courses offered by the University of Regensburg, for example, to further develop your skills in rhetoric or project management.
Study type | Full-time program | single-subject program | |
Place of study | On-site studies at the University of Regensburg in Regensburg, Bavaria, Germany. Participation in courses via video conferencing software is up to the individual course instructors. | |
ECTS credits | 180 | |
Admission requirements | University entrance qualification Language skills in English at a level of at least CEFR B1 are strongly recommended, as some compulsory modules are only offered in English. | |
Deadline for applications | The program is not subject to admission restrictions. Only international applicants are required to apply by July 15th. The university's International Office provides more information on the application process for international students. | |
Enrolment | By September 30th during the regular enrolment periods of the University of Regensburg | |
Start of programme | October 1st | |
Standard period of study | 6 semesters or 3 years | |
Teaching language | German and English | |
Tuition fees | None (semester fee only) | |
Degree | Bachelor of Science (B.Sc.) |
The B.Sc. degree program focuses on the three fundamental skills that a data scientist must have: Thinking like an analyst, thinking like a programmer and thinking like a researcher.
The framework of the degree program is based on these skills and includes theoretical and mathematical foundations as well as practical tutorials and individually supervised project work.
In addition to teaching these skills, the degree program offers many elective options. Depending on your interests and career goals, you can choose a thematic focus in the following areas and beyond:
The study contents of the B.Sc. Data Science are detailed in the following course outline:
When you study Data Science at the University of Regensburg, you have freedom of choice when it comes to internships: There are no compulsory internships as part of the degree program. However, you can have a voluntary internship accredited in the compulsory elective area.
Regardless of whether you complete an internship or not, the degree program has a high practical component and prepares you for your career entry. Lectures are accompanied by tutorials and you will carry out a project independently in a team of fellow students.
At the University of Regensburg, the M.Sc. program "Data Science" (starting by the winter semester of 2026/27 at the latest) will build directly on the corresponding bachelor's program. Moreover, our university offers a wide range of other master's degree programs related to computer science. For instance, if you are particularly interested in Data Science in natural sciences, you may pursue Computational Science, or if you are fascinated by language processing, Information Science may be a good fit. Media and business Informatics are also viable options. If you focused on biomedical research topics during your bachelor's degree, you may continue with an M.Sc. degree in Molecular Medicine or Biochemistry. Likewise, a focus on economics opens up possibilities for M.Sc. degrees in Economics or Business Administration.
Data science and artificial intelligence are increasingly changing our lives and our habits. Data science is therefore one of the central fields of work in the future. Data scientists are already being recruited in large numbers: by companies, research institutions and government agencies, both nationally and internationally - and in almost all industries. You can work there as a data engineer, data steward or data analyst, for example.
Data scientists develop specialized AI applications. They manage and analyze data streams in order to answer questions that could be important for all of us:
The bachelor's degree program in Data Science is not subject to admission restrictions. If you have a German university entrance qualification (e.g. general or subject-linked higher education entrance qualification), you can enroll in the Data Science bachelor's degree program without applying during the university's regular enrollment period.
If you are professionally qualified or have completed your schooling abroad, the information on university admission on the website of the Student Office will help you.
In order to prepare you for an international working environment as well as for a semester abroad, some courses (including compulsory modules) are offered in English. We, therefore, strongly recommend that you can speak English at least at the level of an advanced beginner (level B1 of the European Framework of Reference). International applicants require German language skills at DSH-1 level.
Please note: For international applicants, please apply for the start of studies in the winter semester by July 15th at the latest. For further information, please visit the website of the International Office.
Information about the enrollment deadlines can be found on the website of the Student Office (Attention: only from July).
International applicants must apply by July 15th if they wish to study in the winter term. Further information can be found on the website of the International Office. In this case, enrollment will take place after successful application.
If you are interested in enrolling at the University of Regensburg, you can find detailed information on the Student Office website on how to proceed with the enrollment process.
Phone: +49 941 943-5097
Email: studienberatung.ds@ur.de