Data Science

• Passion for topics around data and artificial intelligence
• Mathematical talent and spirit of research
• The necessary mathematics and computer science skills are taught during the course of study

The B.Sc. Data Science at the University of Regensburg is divided into a compulsory and an elective area. The compulsory area comprises foundations and an specialization area. The following figure shows the proportion of individual topics and learning objectives within these areas:

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:

• Medicine (genome research, immunology, oncology)
• Digital business
• Speech recognition (chatbots)
• Quantum mechanics
• Intelligent image recognition
• Data security

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:

• Will a patient respond to a particular medication?
• What is the risk of a flood disaster in a certain location within the next 3 days?
• What is the market potential of a certain product in a certain country?
• Which clothing size will fit a certain customer best?
• What impact will a lockdown have on the number of infections within the next 2 months?
• and many other questions ...

Admission requirements

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 are offered in English. In addition to the university entrance qualification, you must therefore also prove that you can speak English at least at the level of an advanced beginner (level B1 of the European Framework of Reference). Generally, you fulfill this requirement if you have the "allgemeine Hochschulreife" ("Abitur") (then you probably even have level B2 in English). You can provide proof of your language skills, for example, with a "Abitur" diploma that shows the required language level. An overview of all the options for proving your B1 language skills in English is provided by the university's Center for Language and Communication.

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.

Deadlines

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.

Enrollment

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.