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Master Data Science
The information page for M.Sc. Data Science students at the KU
The study programm | Advice | Materials | Contact Persons | News | MIDS
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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
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Advice
The B.Sc. Data Science course advisory service offers the following online consultation hours on the course content and structure:
Consultation Hours
Student advisory service
Tuesdays, June 17th and July 08th 09:30 am AND 2:30 pm (German time)
https://kuei.zoom-x.de/j/62309706506?pwd=XDNpnI1gDE03cRokFgkyQ1Tc5HbTfh.1
Meeting-ID: 623 0970 6506
Kenncode: 223132
On-site consultation
Thursdays 2:00 - 4:00 pm room HB-209
Ms. Armelle Langenwald
Online open office hour
Tuesdays, 12.30pm to 1.30pm (German time)
Meeting-URL: https://kuei.zoom-x.de/j/68237518611?pwd=Qf0gWdiaxR85GaQmZS85yPdNWHixi7.1
Meeting-ID: 682 3751 8611
Kenncode: 397650
Online Session „Housing“
Tuesday, 20th May AND Tuesday, 17th June 10am or 3pm (German time)
https://kuei.zoom-x.de/j/67704647922?pwd=R8T8jIiAeCSmg7mLpMzZP3PCaVunOM.1
Meeting-ID: 677 0464 7922
Kenncode: 087752
KU Campus Tutorial - Course Registration and German Health Care System
Tuesday, 16th September 11am OR Thursday, 18th September 4pm (German time)
Meeting-URL: https://kuei.zoom-x.de/j/62100848453?pwd=q7IDC0hwccZ6aVQVNNIHywFrP3BlQG.1
Meeting-ID: 621 0084 8453
Kenncode: 458534
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:
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)
Prof. Dr.
Marcel
Oliver
Holder of the chair of Applied Mathematics
Room: GEOG-106
Prof. Dr.
Nadja
Ray
Chairholder Geomatik and Geomathematik
Room: GEOG-104
News
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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.