Data Science

The curriculum of the Master's programme in data science is structured as follows: Core qualification: modules teaching the foundations of data science Specialisations: Three different specialisation areas (mathematics, computer science, and applications) allow students to focus on different aspects of data science. It is possible to focus on a certain specialisation, but at least one module from each area needs to be taken. General qualification: modules on non-technical topics, business & management, research methods, and a seminar Project work and Master’s thesis can be done at different institutes of the TUHH, allowing each student to work on a research-oriented project. Teaching the methodology and logic of engineering – "learning to think" – is a key aspect of studies at TUHH. Only in this way can one acquire the knowledge to keep pace with rapid technological change. This sound theoretical foundation is rounded off by a well-balanced mixture of practical application in internships, projects and thesis work. It should be noted that students at TUHH are trained to think and decide for themselves, to learn and work independently as well as in international teams representing many different academic, national and cultural backgrounds. TUHH promotes interdisciplinary research, teaching and learning. Students will be integrated into research and development projects at an early stage. This facilitates a smooth transition to working life.