Data Science
Hamburg University of Technology · Hamburg, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Campus
- Hamburg
- Apply by
- Register by 1 March 2027
- Starts
- Winter semester
Hamburg University of Technology does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Applicants must hold a Bachelor's or equivalent degree in a data science programme or an equivalent programme with sufficiently strong background in computer science and mathematics.
- English language requirement
- C1 required, please provide an official language certificate, e.g.: IELTS Academic: 6.5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: until 1 March
- Apply through
- Please check this website .
About this programme
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.
Data Science at other universities
- Data Science — Columbia University
- Data Science — University of Michigan - Ann Arbor
- Data Science — Northwestern University
- Data Science — University of Illinois Urbana - Champaign
- Data Science — The London School of Economics and Political Science (LSE)
- Data Science — University of Wisconsin - Madison
- Data Science — RWTH Aachen University
- Data Science — Aarhus University
Related pages
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