Six-semesters Bachelor of Science program
Since the introduction of the Internet, digitisation has changed our everyday life massively. Milestones have been the invention of digital photography and the development of the modern smartphone, which have fundamentally changed our communication channels and forms. As a result of these social developments, the field of data science has evolved from mathematical statistics and computer science and has become a key technology in science, industry and the everyday life of most people.
A data scientist works in an environment where 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-oriented manner and is therefore always up to date on new developments in this rapidly developing field. Due to the high proportion of computer science in the course of study, graduates of the programme are familiar with all the rules of software design, so that most of the career opportunities of classical computer scientists are open to them.
The Bachelor degree qualifies graduates for a profession and for continuing their studies on one of several Master’s programs.
Data Science aims to extract features and knowledge from large amounts of data. This results in a data-driven model that is derived directly from the data rather than from physical equations. In order to achieve this, the course of study first teaches the mathematical and statistical fundamentals. A further important component is computer science, 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 also topics that are taught in the study program. The program offers the opportunity to get to know an application of data science at an early stage. A spezialisation is possible in the following fields of knowledge: logistics, medicine, mechanics, electrical engineering or materials science. Each of these spezialisations is rooted at the TU Hamburg, so that in-depth courses can be attended later in the program. In the second and third years of study, the core areas of data science are taught as well as the methods learned are tested and consolidated in an internship. The program concludes with a bachelor thesis, for which a topic from mathematics, computer science or one of the spezialisations can be selected. Since ethical and legal issues play a very important role in the handling of data in society, these topics are also an important part of the program.
The following diagram gives an overview of the shares of different scientific fields in the study of Data Science.
All modalities for admission to the Bachelor's program "Data Science" are regulated in the Statutes on Studying at the TUHH (Satzung über das Studium an der TUHH).
The framework conditions for the examinations at the TUHH are laid down in the General Study and Examination Regulations (Allgemeine Studien- und Prüfungsordnung, ASPO) and the Subject-specific Study and Examination Regulations (Fachspezifische Studien- und Prüfungsordnung, FSPO). The module handbook describes the concrete design of the modules provided in the curriculum and their learning objectives. They also provide information on content, recommended prior knowledge and literature for preparation.
All regulations relevant to the course of study can be found here.
With a Bachelor degree in Data Science you can continue your studies at the TUHH or UHH in:
–> Data Science (M.Sc.) TUHH (planned)
–> Information and Communication Systems (M.Sc.) TUHH
–> Internationales Wirtschaftsingenieurwesen (M.Sc.) TUHH
In the following Master programs you can continue your studies depending on the individual choice of elective modules in your Bachelor program:
–> Technomathematik (M.Sc.) UHH+TUHH
–> Computer Science (M.Sc.) TUHH
–> Informatik-Ingenieurwesen (M.Sc.) TUHH
(each a two year Master of Science course)