Data Science.
The Master of Science in Data Science is a prestigious graduate program offered by the Free University of Berlin. Designed for students aiming to deepen their expertise in data analysis, machine learning, and computational methods, this full-time international degree combines academic rigor with practical experience. Students gain hands-on training in programming, statistical modeling, big data analytics, and interdisciplinary applications, preparing them for advanced roles in research, industry, and technology-driven organizations. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Berlin, a leading hub for scientific research and technology innovation, this master’s program emphasizes both theoretical knowledge and practical skills. With a strong focus on data-driven projects, research collaborations, and interdisciplinary approaches, students not only develop advanced data science expertise but also benefit from international networking and professional opportunities. The course reflects Germany’s reputation for combining academic excellence with professional relevance, making it an excellent choice for those seeking to specialize in modern data science applications.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Berlin
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Data Analysis, Machine Learning, Big Data, Computational Methods
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Introduction to Data Science & Analytics
- Programming for Data Analysis
- Probability, Statistics & Linear Algebra
- Data Management & Visualization
Semester 2 – Advanced Analytical Techniques
- Machine Learning and AI Methods
- Big Data Processing and Cloud Computing
- Applied Statistical Modeling
- Project I (practical or research-based)
Semester 3 – Specialization & Research Practice
- Advanced Machine Learning & Deep Learning
- Computational Modeling and Simulation
- Research Project II (collaborative or independent)
- Interdisciplinary Data Science Applications
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Thesis
- Data-Driven Project Development
- Presentation & Portfolio Development
Career Opportunities
Graduates of the Data Science program are prepared for a wide range of roles in research, analytics, technology, and industry. Career paths include data scientist, machine learning engineer, data analyst, computational researcher, and AI consultant. With Berlin’s strong tech ecosystem and connections to research institutions, startups, and international companies, students gain excellent opportunities to engage in practical projects and professional networks.
Why Choose This Program
Choosing the Master of Science in Data Science means joining a program that combines academic excellence with hands-on computational and analytical experience. Offered by the Free University of Berlin, it provides students with access to experienced faculty, modern computing facilities, and opportunities to participate in innovative research and data-driven projects.
The program’s unique strength lies in its combination of advanced statistical methods, machine learning, and interdisciplinary applications. Students not only develop technical expertise but also analytical, problem-solving, and collaborative skills needed to succeed in global research and industry roles.
Contact Information
Department of Data Science – Free University of Berlin
Takustr. 9
14195 Berlin, Germany
Tel: +49 30 838 53000
Fax: +49 30 838 53001
Email: datascience@fu-berlin.de
Student Advisory Service – Free University of Berlin
Takustr. 9
14195 Berlin, Germany
Tel: +49 30 838 77777
Fax: +49 30 838 77778
Email: studienberatung@fu-berlin.de
International Office – Free University of Berlin
Takustr. 9
14195 Berlin, Germany
Tel: +49 30 838 70000
Fax: +49 30 838 70001
Email: international@fu-berlin.de
