Data Science, B.Sc.
Digitization has changed our everyday lives massively since the introduction of the Internet. Milestones were the invention of digital photography and the development of modern smartphones, which have fundamentally changed our communication channels and forms. The field of data science has developed from these social developments from mathematical statistics and computer science and has become a key technology in science, industry and in everyday life for most people.
Programme facts
| Degree | Bachelor of Science (B.Sc.) |
|---|---|
| Duration | 6 semesters, 180 ECTS |
| Language of instruction | German |
| Required German | C1 |
| Study mode | Full-Time |
| Start | Winter semester |
| Application | Directly to the university, winter semester until 15.07 |
| Tuition fee | €0 per semester for international students |
| Semester contribution | €332.10 per semester |
What the tuition fee consists of
Will I get in
How the selection works and how strong the competition is — we go through it against your certificate when we select programmes for you.
Programme selection →About the programme
A data scientist works in an environment in which a lot of data is generated (e.g. logistics, medicine, energy technology, automotive industry) and is responsible for evaluating it, processing it algorithmically and extracting features from it. The data scientist works in a research-related manner and is therefore always up to date on new developments in the rapidly developing field. Due to the high proportion of IT in the course, the graduates of the course are familiar with all the rules of software design, so that most of the career opportunities of classical IT specialists are open to them.
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The bachelor's degree qualifies you for a job and enables you to continue your studies in several master's programs.
What you study
Data Science aims to extract characteristics and knowledge from large amounts of data. This creates a data-driven model that is not derived from physical equations, but directly from the data. To achieve this, the course first teaches the mathematical and statistical basics. Another important component is computer science content, with which the developed mathematical and statistical models are implemented algorithmically. The presentation, processing, provision and storage of large amounts of data (keyword: big data) are topics that are taught during the course. The course offers the opportunity to learn about the application of data science at an early stage. Specialization is possible in the following areas of knowledge: logistics, medicine, mechanics, electrical engineering or materials science. Each of these specializations is rooted at the TU Hamburg, so that in-depth events can be attended during the course. In the second and third year of study, the core areas of data science are taught and the methods learned are tested and consolidated in an internship. The course concludes with a bachelor's thesis, for which a topic from mathematics, computer science or one of the majors can be selected. Since ethical and legal questions play a very important role in society when dealing with data, these topics are also dealt with in depth during the course
The full curriculum and the programme's parameters are part of programme selection: we compare them with your profile.
Pick programmesCareer
Graduates are prepared for a job in industry as well as for a relevant master’s degree through the bachelor’s degree program in Data Science. Due to the increasing digitalization, the competences are needed across industries, so that the graduates have a wide range of professions.
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A data scientist typically works in an environment in which large amounts of data are created and is responsible for evaluating them, processing them algorithmically and extracting features from them. He learns the knowledge of his domain and can thus work in an interdisciplinary team with application experts. The data scientist is research-oriented and is therefore always up to date with new developments in the rapidly developing field. Due to the high proportion of computer science in the course, the graduates of the course are familiar with all the rules of software design, so that a large part of the career opportunities of classic computer scientists are open to them.
A successful completion of the Bachelor's program in Data Science at the TUHH enables the inclusion of a Master's degree in Data Science or - after individual coordination of the elective modules - in computer science or applied mathematics.
Cost of study
| Tuition fee of the federal state (Hamburg), international students | €0 |
|---|---|
| Semester contribution | €332.10 |
Requirements and application
| Previous education | A school certificate that gives access to university in Germany — directly or after a Studienkolleg. |
|---|---|
| Language | German C1 — confirmed by a certificate when you apply |
| Application | Directly to the university, winter semester until 15.07 |
The procedure and the set of documents depend on your certificate. We check the university's requirements against your documents and give you a list: what to submit, how to certify and translate it, where and when to apply.
Check the requirementsHow to get into this programme
- 1Check your certificate and its recognitionDirect admission, a year at a university at home, or Studienkolleg first — this decides the whole plan.
- 2German up to C1 and a certificateDSH or TestDaF has to be passed before you apply.
- 3Documents and translationsCertified translations of the certificate and transcript, an APS if required. 3–4 weeks.
- 4Application directly to the university until 15.07Send the documents well before the deadline — an incomplete application cannot be completed after it.
- 5Admission, visa, movingPlan 2–3 months for the visa and the blocked account in parallel.
How to apply
You can submit the application yourself or with our help — the university decides on admission in both cases.
Applications go through the university's portal or uni-assist. Typical mistakes:
- ×incorrectly made certified copies and translations
- ×a wrong set of documents
- ×the application submitted the wrong way
- ×errors or gaps in the application form
- ×the application submitted at the wrong time — too early or too late
An incomplete or incorrectly prepared application is excluded from the selection — it can no longer be corrected after the deadline.
StudyInFocus does not represent the university and does not influence the admission decision. We do not sell study places and do not guarantee admission — this is a service for preparing and submitting documents on the applicant's side.
If your level is not enough yet
The two most common stoppers are a language level below the requirement and a certificate without direct admission. Both can be solved, but they take months — plan them now, not after a rejection.
Questions about this programme
How much does the programme cost?
What language level do I need?
When do I need to apply?
Don't postpone the application
The deadline is 15.07.2027 (274 days left). Language, translations and the document check take months, not weeks. In 30 minutes we will build a plan backwards from the deadline and tell you honestly whether you can make it.