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BSc Data Science

Information event for prospective students

Upcoming date:

Thu. July 10, 2025, 5:00 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 a level of at least CEFR B1 are strongly recommended, as some compulsory modules are only offered in English.
International applicants require German language skills at DSH-1 level.
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.)

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.