Bachelor in Data Science

Hamburg University of Technology (TUHH), established in 1978 and based in Harburg, Hamburg, combines rigorous engineering education with a clear research orientation. The university’s motto, Technology for Humanity, guides teaching and research towards sustainable technological solutions. With a community of roughly 7,700 students including nearly 2,000 international peers, TUHH fosters an interdisciplinary approach that links basic research, applied projects and technology transfer.

Academic offerings emphasize engineering, natural sciences and applied research, supported by strong collaboration with industry and regional partners. Small class sizes, project-based learning and access to research groups allow students to engage closely with supervisors and practice-oriented initiatives. The university’s structures encourage entrepreneurship, spin-offs and participation in innovation networks that bridge campus activity and industrial application.

International students are integrated through dedicated services, exchange programs and English-language course options at postgraduate level. TUHH’s focus on sustainability and human-centred technology delivers clear career pathways in engineering, consultancy and research. Campus life in Hamburg provides cultural diversity, strong transport links and proximity to Germany’s dynamic industrial and maritime sectors, enhancing opportunities for internships and employment.

The Master in Data Science at Hamburg University of Technology is a 4-semester program for students who want to learn how to extract knowledge from large datasets. This master's degree is taught in English and helps students develop skills in statistical and computational methods. The program is ideal for students with a bachelor's degree.

The curriculum covers data-driven models, speech recognition, and object recognition. Students learn theory and methods to create digital applications. They also develop skills in computer science, mathematics, and domain-specific knowledge. The program includes hands-on components to help students develop practical skills.

Graduates can work as Data Analysts, Business Intelligence Developers, Data Scientists, or Machine Learning Engineers. They can find jobs in healthcare, the automotive industry, or other sectors that use data-driven models. Top employers include tech companies, research institutions, and consulting firms.