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Data Science

Information events for prospective students

Upcoming dates:

Fri. June 28, 2024, 4 p.m., virtual live lecture with Q&A session

Wed. July 3, 2024, 5 p.m., virtual live lecture with Q&A session

All roads lead through Data Science - the first step begins with us.

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.

All roads lead through Data Science

You are in demand! In medicine and in fashion. Good day! My name is Justus and I work for a pharmaceutical company as a Data Scientist. We study huge datasets of electronic patient records and genetic data to help develop new medicines. You are in demand! As a leader and as a team member. Hi, I'm Leonie and I work in Silicon Valley as a Data Scientist. My team and I analyse messages on social networks with the aim of automatically detecting fake news. You are in demand! In the region and all over the world. Hello! I'm Max and I work as a Data Scientist in Neutraubling. There I use data and artificial intelligence to make production lines in the beverage industry more efficient. In the evenings, I like to go out with my friends in Regensburg. Be hip! Turn your passion into a career! Hi, my name is Amira and I founded a data science startup. My team and I are working on a recommendation system that suggests life partners to relationship seekers based on social media data. We train our data models in a culture-specific way and are active worldwide from Regensburg. Be hip! Help shape the future!

The Bachelor Data Science at the University of Regensburg

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.

Key data

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 level CEFR B1. 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.

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.


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 with English components
Tuition fees None (semester fee only)
Degree Bachelor of Science (B.Sc.)

What makings do I need to have?

  • 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

How is the degree program structured?

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:

What are the study contents?

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:

Is an internship compulsory?

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.

Which Master's degree programme can I follow up with?

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.

What are my career prospects?

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 ...

How can I enroll?

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.


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.

Any more questions?

Student advisory service "Data Science at UR"

Ulrike Allouche

Phone 0941 943-5097

E-mail studienberatung.ds@ur.de

Informatics and Data Science