Data Science
The Master of Science in Data Science is an international graduate program offered full-time or part-time at the University of Greifswald. Designed for students aiming to advance their expertise in computational methods, statistical analysis, and modern data technologies, this program combines academic depth with practical training. Over four semesters, students develop strong foundations in linear algebra, analysis, statistics, and programming, preparing them for data-driven roles across research, industry, and technology sectors. The program admits students exclusively in the winter semester.
Located in Greifswald, a dynamic academic center in northern Germany, this master’s program emphasizes methodological excellence and interdisciplinary learning. With access to cutting-edge research, modern facilities, and an international academic environment, students gain both theoretical knowledge and practical experience. The curriculum reflects Germany’s commitment to innovation in digitalization and data science, making it an ideal choice for students seeking to specialize in data-driven decision-making and computational analysis.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Greifswald
- Study Type: Graduate (full-time or part-time, international)
- Admission semester: Winter Semester only
- Area of study: Data Science
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Linear Algebra & Analysis
- Foundations of Statistics
- Programming for Data Science
- Data Management & Processing
Semester 2 – Advanced Analytical Methods
- Machine Learning
- Statistical Modelling
- Big Data Technologies
- Applied Data Analysis Project I
Semester 3 – Specialization & Applied Research
- Deep Learning & Neural Networks
- Data Visualization & Communication
- Domain-specific Electives
- Applied Data Analysis Project II
Semester 4 – Master’s Thesis
- Independent Research Project
- Thesis Presentation
- Portfolio Development
Career Opportunities
Graduates of this program are equipped for diverse roles in data-intensive industries, including machine learning engineering, data analysis, AI development, business intelligence, research, and digital transformation. The qualification also prepares students for doctoral studies and academic research careers. With growing global demand for data specialists, graduates benefit from strong employment prospects across sectors such as technology, finance, healthcare, and public administration.
Why Choose This Program
Choosing the Master of Science in Data Science means joining a program grounded in rigorous quantitative training and innovative computational methods. The University of Greifswald provides an excellent research environment, international orientation, and close academic support that enables students to excel in rapidly evolving data-driven fields.
The program’s blend of theory, application, and interdisciplinary learning ensures that students gain both technical expertise and practical problem-solving skills. With flexible study options, modern facilities, and strong industry relevance, it prepares graduates for a highly dynamic global job market.
Contact Information
Student Advisory Service
Zentrale Studienberatung
Rubenowstraße 2
17489 Greifswald
Tel: 03834 / 420 1293
Fax: 03834 / 420 1255
Email: zsba@uni-greifswald.de
Programme Contact
Universität Greifswald – Institute of Data Science
Felix-Hausdorff-Straße 18
17489 Greifswald
Tel: 03834 / 420 5501
Email: kristina.yordanova@uni-greifswald.de
Name: Prof. Dr. Kristina Yordanova
International Office
Domstraße 8
17489 Greifswald
Tel: 03834 / 420 1116
Fax: 03834 / 420 1120
Email: international.office@uni-greifswald.de
