We live in a world of data. Whether you are studying biochemistry or physics, art history or medicine, business studies or law: Data is generated in all subject areas and needs to be tamed.
This is where data science comes into play: In our intensive course "Data March," you will learn the basics of “taming" data and be introduced to the world of data analysis in a practical way. You will evaluate and interpret data sets and develop a deeper understanding of what data really means.
Whether for your studies or your professional future, this knowledge will give you a decisive advantage. Data Science strengthens your profile and opens up new opportunities for you.
The “Data March” is a course for newcomers to the world of data science and machine learning. Every year in March, you can expect four weeks full of practical projects and exciting content that can be perfectly integrated into the curriculum of your degree program.
And the best thing is: You decide how much you want to get involved. One, two, three, or four weeks - and receive 2, 4, 6, or 8 ECTS credits depending on how many weeks you choose to participate.
Career boost - Data science skills are more in demand than ever and open up numerous career opportunities for you.
Practical relevance - Apply your knowledge in numerous small projects.
Flexibility - Decide for yourself how deep you want to delve into the subject matter.
Networking - Learn together with students from different subject areas.
![]() | Teaching format | Intensive course |
![]() | Venue | In-class course in lecture hall H401 (Bajuwarenstr. 4) at the University of Regensburg |
![]() | ECTS credits | 2 per week, i.e., 2, 4, 6, or 8 depending on attendance |
![]() | Prior knowledge | No prior knowledge required. A-level knowledge is sufficient. |
![]() | Enrollment | Via the SPUR campus portal |
![]() | Dates | March 3 - 28, 2025 Mon - Fri 8 a.m. - 12 p.m. c.t. and 2 p.m. - 6 p.m. c.t. |
![]() | Duration | 1, 2, 3, or 4 weeks depending on your interest |
![]() | Teaching language | English |
![]() | Number of participants | 80 spots available on a first-come-first-served basis |
![]() | Examination | Written examination consisting of up to four 30-minute examination units (each covering the content of one of the four weekly blocks). The four examination units can be taken independently of each other. |
The individual weeks build on each other, but can also be completed separately if you have the relevant prior knowledge.
Coding - Learn the basics of the Python programming language and how to apply it in data science.
Lecturer: Prof. Dr. Rainer Spang
Sampling - Understand the essentials and use them directly in practical projects.
Lecturer: Prof. Dr. Florian Erhard
Inference - Dive into the world of data analysis and learn important techniques, such as exploration, hypothesis testing, and regression.
Lecturer: Prof. Dr. Thomas Jaki
Machine Learning - Discover how machines learn and apply this knowledge in exciting projects.
Lecturer: Prof. Dr. Merle Behr
Phone: +49 941 943-5097
Email: studienberatung.ds@ur.de