Data Science
The Master of Science in Data Science is a prestigious graduate program offered by the University of Marburg. Designed for students and professionals seeking to enhance their expertise in data-driven technologies, this full-time international degree combines academic rigor with practical application. Students develop advanced skills in machine learning, big data technologies, software development, and statistical analytics, preparing them for leadership roles in data-intensive industries and research. The program is structured across four semesters and admits students in both the summer and winter semesters.
Located in Marburg, one of Germany’s leading university cities renowned for its scientific research and innovation, this master’s program emphasizes analytical precision and computational excellence. With a strong focus on interdisciplinary learning and project-oriented study, students gain hands-on experience through collaborative research and real-world applications. The course reflects Germany’s reputation for combining academic quality with technological advancement, making it an ideal choice for those aspiring to shape the future of data science and artificial intelligence.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Marburg
- Study Type: Graduate (full-time, international)
- Admission semester: Summer and Winter semester
- Area of study: Computer Science, Applied Mathematics, Data Science
- Admission modus: Selection procedure / qualifying examination
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Machine Learning and Artificial Intelligence
- Statistical Data Analysis and Probability Theory
- Programming for Data Science
- Data Management and Databases
Semester 2 – Applied Computational Methods
- Big Data Technologies and Cloud Computing
- Predictive Modeling and Data Mining
- Optimization and Algorithms
- Project Work I – Applied Data Science Project
Semester 3 – Advanced Topics and Research
- Deep Learning and Scientific Computing
- Visualization and Data Interpretation
- Elective Modules (Analytics or Computing Focus)
- Project Work II – Industry or Research Collaboration
Semester 4 – Master’s Thesis
- Independent Research Thesis
- Applied Data-Driven Solution Development
- Presentation and Defense
Career Opportunities
Graduates of this program are qualified for a wide range of roles in research, academia, and industry. Career paths include data scientist, machine learning engineer, data analyst, and AI researcher. With a focus on interdisciplinary application, graduates are well-equipped to work in sectors such as technology, finance, healthcare, and scientific research.
Why Choose This Program
Choosing the Master of Science in Data Science at the University of Marburg means joining a program that unites mathematics, computer science, and applied analytics. The curriculum blends theoretical excellence with hands-on experience, enabling students to tackle complex data problems with innovative methods.
The program’s project-oriented structure, modern research environment, and expert faculty ensure students gain both deep academic understanding and practical industry insight. This unique balance makes it an outstanding choice for those aiming to advance in the rapidly evolving field of data science and artificial intelligence.
Contact Information
University of Marburg – Student Advisory Service
Biegenstraße 10
35037 Marburg, Germany
Tel: +49 6421 28-22222
Email: zas@uni-marburg.de
Program Contact – Department of Mathematics and Computer Science
Prof. Dr. Christin Seifert
Hans-Meerwein-Straße 6
35032 Marburg, Germany
Tel: +49 6421 28-25460
Email: christin.seifert@uni-marburg.de
International Office – University of Marburg
Deutschhausstraße 11–13
35037 Marburg, Germany
Email: international@uni-marburg.de
