Bachelor Data Science
Overview
The Data Science degree program provides the necessary knowledge for the in-depth analysis of large and complex data sets (e.g., for patient or customer data, for stock prices, or in connection with weather and climate) by combining statistics, mathematics, computer science, and application subjects. Graduates are at the intersection of these fields, able to work in interdisciplinary teams and communicate results appropriately. Data Science is an interdisciplinary joint project of the Faculties of Statistics, Computer Science and Mathematics under the leadership of the Faculty of Statistics.
Video: The Faculty of Statistics at TU Dortmund University
Study structure
The fundamentals of the program are taught in the first year. This includes introductions to mathematical theory (applied analysis and linear algebra), computer science (data structures, algorithms, programming), and probability theory and statistics. In the second and third years, the program offers electives in methods from advanced mathematics, programming, and statistical modeling. Management and processing as well as presentation and analysis of data are taught. The work with software is deepened, especially with regard to efficient algorithms.
From the beginning, great emphasis is placed on applications and the execution of case studies. This applies to both compulsory and elective modules and is deepened in the final thesis.
All compulsory modules are offered in German, elective courses in English are possible.
The program consists of 19 modules, including the three-month Bachelor thesis. Further information on content and modules can be found below.
Perspectives
The broad-based content of the bachelor's program enables graduates to find suitable solutions to numerous problems, for example in business and industry. The degree also allows for further studies, such as our English-language Master's degree in Data Science or related courses of study. Graduates have excellent knowledge of methods in the field of Big Data and are therefore in great demand in many fields of work.
Important documents and further information
- Examination Regulations B.Sc. Data Science (from winter semester 2019/20)
- Amendment to the Examination Regulations B.Sc. Data Science (from winter semester 2020/21)
- Amendment to the Examination Regulations B.Sc. Data Science (from summer semester 2022)
- Module Handbook B.Sc. Data Science (from summer term 2024)
- Study plan B.Sc. Data Science (from winter semester 2019/20)
- Affidavit (Mandatory! To be included in your Bachelor Thesis)
- Amendment to Affidavit (Also mandatory! Concerns the use of IT-/AI-supported language models. To be included in your Bachelor Thesis as well)
- List of positive examples (List of positive example how to use IT-/AI-supported language models in the preparation of theses)
Note: The examination regulations are authoritative in each case; the course of study plans are only a representation of the possible course.
External internships
The partial achievement seminar from the module project work can be fulfilled in certain cases by an external internship. Requirements for an internship and notes