B.Sc. Data Science
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
The Bachelor's Program in 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 program type
| Full-time study program | 1-subject study program |
?| Place of study
| Face-to-face study program at the University of Regensburg in Regensburg, Bavaria, Germany. Participation in courses via video conferencing software is decided by the individual teaching staff. |
? | ECTS points
| 180 |
? | Admission requirements
University entrance qualification (e.g. general higher education entrance qualification) Language skills in English at a level of at least CEFR B1 are strongly recommended, |
application deadline
| The degree program is not subject to admission restrictions. International applicants only need to apply by July 15. The International Office provides further information on the application process for prospective international students (external link, opens in a new window). |
?? | Enrollment
| July 24 to September 30 (information on the enrollment procedure) |
? | Start of studies
| October 1 |
? | Standard period of study
| 6 semesters or 3 years |
? | Language of instruction
| German and English |
� | Tuition fees
| None (only semester fee of EUR 198 incl. semester ticket) |
? | Degree
| Bachelor of Science (BSc) |
Questions & Answers
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:
Which courses do I take in which semesters?
The exemplary course of study (opens in a new window). (This PDF is not accessible) shows you which courses are scheduled in the individual semesters. "Exemplary" means that you can choose the courses in the compulsory elective modules according to your own preferences.
What are the individual courses about?
In our annotated course catalog you will find information about the contents of the courses in the first year of study.
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.
Where do I study?
Studying Data Science with us at FIDS takes you to the world heritage city of Regensburg. Here you will attend courses at the classical campus of the University of Regensburg and at the FIDS location.
Which Master's degree programme can I follow up with?
At the University of Regensburg, the M.Sc. degree program "Data Science" builds directly on the Bachelor's degree program. In addition, our university offers a variety of other computer science-related Master's degree programs. For example, you can go on to study computational science if you are particularly interested in data science in the natural sciences, and human-centred AI if you are fascinated by language processing or similar. Media Informatics and Information Systems are also possible options. If you focussed on biomedical research topics in your Bachelor's degree, you can also continue with an MSc degree in molecular medicine or biochemistry. A focus on economics also makes an MSc degree program in economics or business administration possible.
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. This means that if you have a German higher education entrance qualification (e.g., general or subject-restricted higher education entrance qualification), you can enroll in the Bachelor's degree program in Data Science without applying during the university's regular enrollment period.
If you are professionally qualified or have completed your school-leaving certificate abroad, the information on university admission on the Registrar's Office website will help you.
In order to prepare you for both an international working environment and a semester abroad, some courses (including compulsory modules) on the degree program are offered in English. We therefore strongly recommend that you have at least an advanced beginner's level of English (level B1 of the Common European Framework of Reference for Languages). 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 15 at the latest. You can find further information on the International Office website (external link, opens in a new window).
Deadlines
Information on the enrolment deadlines can be found on the Registrar's Office website (please note: only from July).
International applicants must apply by July 15 if they wish to begin their studies in the winter semester. Further information can be found on the website of the International Office (external link, opens in a new window). In this case, enrollment takes place after successful application.
Enrollment
You can find out how to enroll at the University of Regensburg on the website of the Registrar's Office.
