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Master Data Science

The information page for M.Sc. Data Science students at the KU

[Translate to English:] Geometry Maths
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Studierende in Bibliothek
[Translate to English:] Data Science
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The study program

In the winter semester 2025/26, the KU will offer the new Master's degree course in Data Science.

This Master's degree program in Data Science provides in-depth knowledge of modern methods of data analysis and machine learning. 
The course focuses on applications in the field of data analytics/operations research, weather and climate research, the mathematical foundations of data science and the interface between data-based and model-based modeling.

Ideal study plan
[Translate to English:] Studienverlaufsplan Master DS

Advice

The B.Sc. Data Science course advisory service offers the following online consultation hours on the course content and structure:

Consultation Hours

On-site consultation

Monday 09:30 - 11:30 am room HB-209 
Thursdays 1:30 - 3:30 pm room HB-209 
Ms. Armelle Langenwald

 Open office hour 

Dr. Sarah Eberle-Blick
Open office hour: 
Tuesdays (March 10th) 10:00 am and 1:30 pm 
Tuesdays (April 14th) 10:00 am and 1:30 pm 

https://kuei.zoom-x.de/j/66136665857?pwd=c4FQJQPia0Kqq90Shj48yb56TMhggl.1

Meeting-ID: 661 3666 5857
Kenncode: 503304

Study materials

The officially translated documents will follow shortly.
In the meantime, please see the German documents.

Contact persons

If you have any questions about the degree program, please get in touch with the following contact persons:

Götz Pfander
Prof. Dr. Götz Pfander
Holder of the Chair Mathematics - Scientific Computing | Speaker of the Mathematical Institute for Machine Learning and Data Science
Room: GEOG-202(Collegium Georgianum in Ingolstadt)
Marcel Oliver
Prof. Dr. Marcel Oliver
Holder of the chair of Applied Mathematics
Room: GEOG-106
Nadja Ray
Prof. Dr. Nadja Ray
Chairholder Geomatik and Geomathematik
Building Georgianum  |  Room: GEOG-104

News

New Scientific Director at MIDS

Dr. Jörg Steinwagner is the new Scientific Director at MIDS since May 1, 2026. 
He also supports Professor Janjic’s research group (Chair of Data Assimilation), thereby combining research, teaching, and knowledge transfer. He holds a Ph.D. in meteorology and has many years of experience in the development of data-driven methods, particularly in the fields of satellite-based remote sensing and numerical modeling. His professional career includes work on international research and development projects, including in the areas of Earth observation and weather forecasting.

A key focus of his current work is the design and implementation of knowledge transfer formats on AI and digitalization, as well as the preparation of scientific content tailored to specific audiences for stakeholders from academia, industry, and society. In addition, he develops consulting services and supports the establishment of regional networks, including in cooperation with partners such as AININ and brigk.

Within the context of MIDS, he coordinates key activities such as the Jour Fix, contributes to strategic development, organizes scientific events, and assists with third-party funding applications. In Prof. Janjic’s research group, he is involved in both research and teaching, works on data-driven models and HPC applications, and supports ongoing research projects.

His work helps strengthen the regional AI ecosystem and fosters close collaboration between research and practical application. We are very much looking forward to working with him and warmly welcome him to MIDS.

Mathematical Institute for Maschine Learning and Data Science

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The MSc program Data Science is part of the Mathematical Institute for Machine Learning and Data Science at the KU.
Find out more about the MIDS HERE.