Data Science

Data Science is an interdisciplinary field that uses statistical and computational methods to extract knowledge and insights from large and complex datasets. It combines elements of computer science, mathematics, and domain-specific knowledge to develop data-driven models that are used to develop applications such as speech recognition, object recognition, and automation systems in healthcare or the automotive industry.

The international master's program in Data Science at TUHH builds on the bachelor's program in Data Science and offers a scientifically oriented study program that teaches theory and methods that are required to create the digital applications of tomorrow.

STRUCTURE

The program is organized as a two-year program (four semesters) and begins each year in October. It consists of two and a half semesters of lectures and lab courses and one and a half semesters devoted to working in a research team (project work) and writing the master's thesis. The curriculum offers a lot of freedom to set your own focus in the field of data science. The academic degree of Master of Science is awarded. The language of study is English.

 The curriculum of the master's program in data science is structured as follows:

• Core qualification: Modules teaching the foundations of data science.
• Specializations: Three different specialization areas (mathematics, computer science, and applications), which allow to focus on different aspects of data science. It is possible to weight the three specialization areas differently 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 and allow to work on a research-oriented project.