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Data Science, Master of 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.

Fact Sheet

Study program	Data Science
Degree:	Master of Science (M.Sc.)
Study length:	4 Semester
Credit points according to ECTS:	120
Language:	English
Type of study:	Full-time study
Start of study:	Winter semester (October)
Application periods:	Different application periods for different application groups. See "How to apply"
Admission requirements:	see "What are the requirements?"
Admission restriction:	No
Dual studies possible:	Yes

How is the program structured?

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 (data science & mathematics, computer science, and applications), which allow to focus on different aspects of data science.
General qualification: Modules on non-technical topics, business & management, advanced ethics as well as 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.

Below is a sample curriculum for the start of the winter term 25/26, subject to change.

What are the job prospects?

The master's program in data science optimally prepares graduates for a career in research and development in an academic or industrial environment.

A data scientist:

... typically works in an environment where large amounts of data are generated and
... is responsible for their analysis, algorithmic processing and feature extraction.
... acquires knowledge in an application area and may work in an interdisciplinary team with application experts.
... works in a research-oriented manner and is thus always up to date with the latest developments in this rapidly evolving field.

Due to the high amount of computer science in the degree program, graduates are familiar with all the rules of software design, so that the career opportunities of classical computer scientists are also open to them. The degree program qualifies students for doctoral studies at a university.

What are the requirements?

Please read the admission requirements as well as the specific requirements carefully before application.

Admission requirements

How do I apply?

Please note the different application deadlines:

International applicants from outside EU:

If you have a non-EU nationality and do not currently have a right of residence in an EU country your application period for winter semester starts in December with the required pre-check. The pre-check is available form December 1st until March 1st. The online application starts from January 15th and ends on March 1st. Detailed information on the application and admission procedures can be found here.

Applicants within EU (incl. Germany):

If you have an EU nationality or you have a resident permit for a EU-country your application period starts June 1st to July 15th. We conduct an online application process. Detailed information on the application and admission procedures can be found here.

How and when to apply?