The Master of Science in Data Science is a prestigious graduate program offered by the University of Augsburg. Designed for students aiming to deepen their knowledge in data-driven technologies, this full-time international degree combines advanced mathematics, computer science, and applied statistics. Students gain expertise in machine learning, artificial intelligence, and data engineering, preparing them for research and professional roles in academia, technology, and industry. The program is structured across four semesters and admits students in both the summer and winter semesters.
Located in Augsburg, a leading academic and innovation hub in southern Germany, this master’s program emphasizes both theoretical foundations and practical applications of data science. With a strong focus on algorithms, process mining, deep learning, and ethical computing, students not only develop strong analytical and programming skills but also engage in interdisciplinary research. The course reflects Germany’s growing influence in AI and digital innovation, making it an excellent choice for those seeking to lead in data-driven industries.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Augsburg
- Study Type: Graduate (full-time, international)
- Admission semester: Summer and Winter semester
- Area of study: Applied Mathematics, Statistics, Data Science
- Admission modus: Selection procedure / qualifying examination
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Advanced Mathematics for Data Science
- Programming and Data Structures
- Probability Theory and Statistics
- Introduction to Machine Learning
Semester 2 – Algorithms and Applications
- Algorithms and Data Engineering
- Deep Learning and Computer Vision
- Natural Language Understanding
- Research Project I
Semester 3 – Specialization and Research
- Advanced Machine Learning and AI Ethics
- Quantum Algorithms and Process Mining
- Statistical Modelling and High-Dimensional Data
- Research Project II
Semester 4 – Master’s Thesis and Defense
- Independent Research Thesis
- Data Analysis and Scientific Presentation
- Thesis Defense and Oral Examination
Career Opportunities
Graduates of this program are prepared for a wide range of data-driven careers in academia, technology, and business. Career paths include data scientist, AI engineer, data analyst, and research associate in sectors such as finance, healthcare, IT, and consulting. The program also provides an excellent foundation for doctoral studies in data science, computer science, or applied mathematics, fostering innovation in AI and computational intelligence.
Why Choose This Program
Choosing the Master of Science in Data Science means joining a forward-thinking program that bridges mathematics, computer science, and real-world analytics. Offered by the University of Augsburg, it provides access to modern facilities, experienced faculty, and collaboration with research and industry partners.
The program’s unique strength lies in its balance of theoretical rigor and applied innovation. Students not only master advanced algorithms and data systems but also develop the ethical awareness and critical thinking skills required to apply AI responsibly in a rapidly evolving technological landscape.
Contact Information
University of Augsburg – Student Advisory Service
Zentrale Studienberatung
Universitätsstraße 6
86159 Augsburg, Germany
Tel: +49 821 598-5999
Fax: +49 821 598-5136
Email: info@zsb.uni-augsburg.de
Programme Contact
Prof. Dr. Peter Fischer / Prof. Dr. Andre Uschmajew
Universitätsstraße 14
86159 Augsburg, Germany
Tel: +49 821 598-2134
Email: studienberatung@informatik.uni-augsburg.de; ds@math.uni-augsburg.de
International Office – University of Augsburg
Akademisches Auslandsamt
Universitätsstraße 6
86159 Augsburg, Germany
Tel: +49 821 598-5148
Fax: +49 821 598-5142
Email: info@aaa.uni-augsburg.de
