73 Master's degrees in Data Science & Big Data in Germany

Impact MBA in AI and Data Leadership for Sustainability
The Impact MBA in AI and Data Leadership for Sustainability program from Tomorrow University of Applied Sciences prepares you to become a data-driven leader capable of leveraging AI to spearhead impactful sustainability initiatives.
Data Science
The Data Science (M.Sc.) programme at Philip University in Marburg is designed to deepen your understanding of data analysis and computational techniques. This degree typically spans four semesters and is offered in both English and German, catering to a diverse range of students interested in advanced data methodologies.

Impact MSc in Data-Driven Solutions for Global Sustainability
Use data to address complex environmental and social issues with the Impact MSc in Data-Driven Solutions for Global Sustainability course from Tomorrow University of Applied Sciences. This program equips you to solve these challenges using data analytics, even if you have no prior experience with data.
Applied Computer Science
The Master of Science in Applied Computer Science at Schmalkalden University of Applied Sciences is a full-time programme spanning four semesters. This degree equips students with advanced knowledge and skills in developing innovative IT systems. The course is conducted in English, ensuring a diverse learning environment.
Data Engineering and Analytics
The Master of Science (M.Sc.) in Data Engineering and Analytics at the Technical University of Munich is a full-time programme lasting four semesters. This advanced degree equips students with the skills to manage and analyse massive datasets, utilising innovative techniques in computer science.
Applied Data Science and Business Analytics
The Applied Data Science and Business Analytics course at SRH University empowers you to drive company performance and future success through data. Over four semesters, gain advanced training in data-driven decision-making, strategic analysis, and optimization techniques.
Data Science
The Data Science program from TU Dortmund University consists of various required and elective modules. Students can choose some of the courses according to their own interests. All required courses are taught in English; elective courses in German are possible.
Data Science
The Master's degree in Data Science (M.Sc.) at Fulda University of Applied Sciences is a campus-based programme designed for students with a Bachelor's degree. The programme lasts for three semesters and is conducted in English, offering an engaging learning environment focused on data-driven solutions.
Data Science
The Master of Science (M.Sc.) in Data Science at the University of Mannheim spans four semesters and is delivered in English. This innovative programme is designed for those from diverse academic backgrounds, equipping them with essential skills in data analytics, machine learning, and data management.

Data Analytics and Decision Science
Transform data into value and tackle managerial challenges - with a M.Sc. in Data Analytics and Decision Science from RWTH Business School.

Quantitative Life Science
The Master of Science in Quantitative Life Science (QuaLiS) at Constructor University is a research-focused program that integrates biosciences, chemistry, and data science, emphasizing the application of quantitative and computational methods to biological problems.

Business Analytics and AI
The Business Analytics and AI programme from the ESCP Business School trains you to be an expert in Business Analytics. Its primary aim is to provide an understanding of the significance of data in today’s business world.
Natural Language Processing
The Master of Science in Natural Language Processing at Trier University spans four semesters and is offered in English. This one-subject programme equips students with the skills necessary to excel in the field of computational linguistics. It is designed for those seeking to deepen their understanding and expertise in natural language processing.
Digital and Computational Archaeology
The Master of Arts (M.A.) in Digital and Computational Archaeology at the University of Cologne is a two-year programme offered in English. This innovative course focuses on the integration of digital technologies and computational methods within archaeology, preparing students for various professional paths in cultural heritage and academia.

Business Analytics and Data Science
This Business Analytics and Data Science master program from EU Business School gives students a foundation in data science, using industry-leading software, tools and applications.

Impact MSc in Data Science for Sustainable Development
Drive data-driven sustainability initiatives with our Impact MSc in Data Science for Sustainable Development from Tomorrow University of Applied Sciences. Learn to analyze sustainability data and develop data-driven solutions to create impactful outcomes.

Data Engineering
The graduate program in Data Engineering from Constructor University provides students with a comprehensive understanding of the big data aspects of data analytics and data science, with the technological challenges of data acquisition, curation, and management.
Artificial Intelligence and Data Science
The Master's degree in Artificial Intelligence and Data Science at Heinrich Heine University Düsseldorf is a two-year programme designed to equip students with essential theoretical knowledge and practical skills. This course is offered in a full-time format, providing a comprehensive education in AI and data science methodologies.
Data Science
The Master of Science (M.Sc.) in Data Science at XU Exponential University of Applied Sciences is a comprehensive programme designed to equip students with essential skills in data analysis and management. Spanning four semesters, this course is set to commence in April 2025 and is offered in English, providing an engaging academic environment.
Data Science
The Master's programme in Data Science from Bielefeld University is intended to give interested students the opportunity to consolidate and deepen their knowledge in the field of statistics and information technology at a demanding level.