Machine Learning
The Master of Science in Machine Learning is a prestigious graduate program offered by the University of Tübingen. Designed for professionals and graduates aiming to deepen their expertise in artificial intelligence, this full-time international degree combines academic rigor with cutting-edge research practice. Students gain hands-on experience in machine learning, data science, and computer science, preparing them for advanced roles in both industry and academia. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Tübingen, one of Germany’s leading research hubs for artificial intelligence, this master’s program emphasizes both technical excellence and scientific innovation. With a strong focus on project work, research labs, and interdisciplinary collaboration, students not only develop state-of-the-art machine learning skills but also benefit from international networking opportunities. The course reflects Germany’s reputation for combining academic quality with practical relevance, making it an excellent choice for those seeking to specialize in machine learning and AI research on a global scale.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Tübingen
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Artificial Intelligence, Data Science, Computer Science
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Machine Learning
- Introduction to Machine Learning
- Mathematics for Machine Learning (Linear Algebra, Probability, Statistics)
- Programming for Data Science
- Data Structures and Algorithms
Semester 2 – Advanced Machine Learning Techniques
- Deep Learning and Neural Networks
- Statistical Learning and Optimization
- Applied Machine Learning Projects
- Elective Courses in AI Applications
Semester 3 – Specialization & Research Practice
- Reinforcement Learning & Robotics
- Natural Language Processing
- Research Methods & Scientific Writing
- Collaborative Project I (industry or research-based)
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Applied Thesis
- Development of a Machine Learning Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of this program are prepared for a wide range of roles within the global technology and research sectors. Career paths include Machine Learning Engineer, Data Scientist, AI Researcher, Data Analyst, and Computational Scientist. With Tübingen’s strong research environment and international collaborations, students gain excellent opportunities to connect with leading AI labs, tech companies, and research networks.
Why Choose This Program
Choosing the Master of Science in Machine Learning means joining a program that combines academic excellence with cutting-edge research experience. Offered by the University of Tübingen, it provides students with access to renowned faculty, state-of-the-art facilities, and a strong international network.
The program’s unique strength lies in its research-oriented curriculum, interdisciplinary approach, and close links to both industry and academia. Students not only master advanced machine learning techniques but also develop the analytical and problem-solving skills needed to thrive in a highly competitive global AI landscape.
Contact Information
University of Tübingen – Student Advisory Service
Wilhelmstraße 11
72074 Tübingen, Germany
Tel: +49 7071 29-72555
Fax: +49 7071 29-4259
Email: zsbat@uni-tuebingen.de
Department of Computer Science – Programme Contact
Sand 14
72076 Tübingen, Germany
Tel: +49 7071 29-76361
Email: ml-master@inf.uni-tuebingen.de
International Office – University of Tübingen
Wilhelmstraße 9
72074 Tübingen, Germany
Tel: +49 7071 29-77780
Fax: +49 7071 29-5404
Email: international.office@uni-tuebingen.de
