Data Science
The Master of Science in Data Science is a forward-thinking international graduate program offered full-time at the Technical University of Hamburg. Designed for students aiming to build advanced expertise in mathematics, engineering informatics, and data-driven technologies, this program combines rigorous academic training with practical applications. Students gain hands-on experience in machine learning, computational methods, and large-scale data analysis, preparing them for specialized roles in research, engineering, and digital innovation. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Hamburg, one of Germany’s leading scientific and technological hubs, this master’s program emphasizes both analytical excellence and interdisciplinary collaboration. With a strong focus on practical training, algorithmic problem-solving, and engineering applications, students develop cutting-edge data science skills while benefiting from an international academic environment. The course reflects Germany’s commitment to combining academic quality with technological relevance, making it an exceptional choice for those seeking to specialize in data science for global industries and research institutions.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Hamburg
- Study Type: Graduate (full-time, international, dual-study available)
- Admission semester: Winter semester only
- Area of study: Electrical Engineering, Mathematics, Engineering Informatics
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Mathematical Methods for Data Science
- Programming & Software Tools
- Statistical Modelling
- Introduction to Machine Learning
Semester 2 – Advanced Data Methods & Engineering
- Deep Learning & Neural Networks
- Data Engineering & Big Data Systems
- Computational Methods
- Practical Lab I (data-driven applications)
Semester 3 – Applied Data Science & Interdisciplinary Practice
- Artificial Intelligence Applications
- Optimization & Advanced Algorithms
- Engineering Informatics Integration
- Collaborative Project I (industry or research-focused)
Semester 4 – Master’s Thesis & Final Project
- Independent Research Thesis
- Development of a Data Science System or Model
- Presentation & Professional Competency Development
Career Opportunities
Graduates of this program are well-prepared for careers in data science, machine learning engineering, artificial intelligence, analytics consulting, automation, computational research, and software development. With Hamburg’s strong innovation ecosystem and TUHH’s interdisciplinary orientation, students gain excellent access to research institutions, tech companies, and international networks.
Why Choose This Program
Choosing the Master of Science in Data Science means joining a program that merges academic rigor with real-world applications of intelligent systems. TU Hamburg offers state-of-the-art computing facilities, interdisciplinary resources, and a highly international study environment.
The program’s strengths include its strong mathematical foundation, engineering integration, and emphasis on practical, data-driven problem solving. Students graduate with the expertise required to design, analyze, and optimize complex data systems, preparing them for impactful roles in global technology and research fields.
Contact Information
Technical University of Hamburg – Student Advisory Service
Zentrale Studienberatung
Am Schwarzenberg-Campus 3 (E)
21073 Hamburg, Germany
Tel: +49 40 42878-2232
Fax: +49 40 42878-4077
Email: studienberatung@tuhh.de
Programme Contact
TUHH STUDIS / Admission and Registration
Am Schwarzenberg-Campus 3
21073 Hamburg, Germany
Tel: +49 40 42878-2937
Email: study@tuhh.de
International Office – TU Hamburg
International Affairs
Am Schwarzenberg-Campus 3 (E)
21073 Hamburg, Germany
Tel: +49 40 42878-0
Fax: +49 40 42878-4091
Email: internationaloffice@tuhh.de
