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Bachelor

Data Science

Summary

Degree
Bachelor of Science (B.Sc.)
Standard program duration
6 semesters
Start of studies
Winter semester
Language
German
Admission
admission-free (no NC)
Enrollment requirements
none
Department
Statistics
© Roland Baege

What is it about?

Do you want to not only know how AI works, but also develop your own models that can write texts or recognize images?

You want to understand how data-based decisions in industry, science and daily life come to pass and how you yourself can make these types of decisions?

You wonder how online platforms manage to target your exact interests and want to develop such algorithms yourself?

Interest sparked?

In this degree program, students work with topics such as:

  • theoretical foundations (Mathematics, Statistics, Algorithms)
  • programming (modern environments such as Python, R, and SQL)
  • introduction to AI methods (Machine Learning, Optimization, and Data Mining)
  • practical projects (working with real, relevant data sets, scientific presentation and communication of results)

Why study Data Science?

Suitable for you?

  • computer skills
  • logical thinking
  • mathematical abilities
  • problem-solving skills
  • application-oriented mindset
  • analyzing
  • doing research
  • solving puzzles
  • programming/coding
  • calculating

What can I expect during my studies?

The program is organized into a series of modules designed to build on one another throughout your studies. Students are encouraged to follow the recommended study plan, which outlines the modules assigned to each semester.

Study Plan of B.Sc. Data Science

The structure of each module can be reviewed in the module manual. It provides detailed information on all modules offered within the degree program, including course content, examination formats and requirements, as well as requirements for participation.

Module Manual of B.Sc. Data Science

  • data analysis
  • deep learning
  • artificial intelligence
  • machine learning
  • numerical methods
  • optimization
  • statistics
Dozentin hält eine Vorlesung vor Studierenden © Julian Welz

What’s next after graduation?

On a table are pads and sheets, a tray used by one hand. © avemario​/​Shotshop.com

I work, e.g.,

  • in banks and insurance companies
  • in healthcare and pharmaceuticals
  • in tech companies, AI research
  • in research and science
  • in every field where data is generated

I work as, e.g.,

  • data scientist
  • AI engineer
  • business intelligence analyst
  • research scientist
  • statistical consultant

After the Bachelor’s studies, the following consecutive Master’s degree program is offered:

M.Sc. Data Science

Other programs with related areas of study:

M.Sc. Statistics

M.Sc. Econometrics

M.Sc. Mathematics

M.Sc. Computer Science

Who can help me?

Departmental Advisory Service

© Christina Schulz​/​TU Dortmund

For general questions about degree programs and studying at TU Dortmund University, you can contact the Central Student Advisory Service for support:

E-mail: zsb@tu-dortmund.de

Information hotline for initial inquiries: +49 231 755 2345

Office Hours at a glance

A group picture of students in a seminar room with the TU Dortmund logo. © Aliona Kardash​/​TU Dortmund

What does everyday student life actually look like? And what do students say about their degree program? For a student perspective, you can contact the student representatives (Fachschaft) of the subject.

Website of the 'Fachschaft Statistik'

Important Information

Good to know!