Data Science (Bachelor)

Digital progress is fundamentally changing the way we live and generate wealth. This also applies to the foundations of our value creation processes, in which data develops into a central raw material and data-based business models develop into a basis for all sectors of the economy. Particularly the continuous flow of data determines the use of new trends, innovations and research opportunities. The use and evaluation of data and data streams is the driving force behind progress in all sectors - be it industry, mobility, energy, education or healthcare.

More and more forms of data are available to us: in industry - through consistent monitoring and conversion of processes, in research - through new evaluation methods and modern consideration of phenomena and developments, but also in private life, where developments such as the Smart Home are becoming the norm. The targeted storage and evaluation of this data offer great value creation potential for companies. Already today, anonymised data analyses are used to treat serious diseases such as cancer more accurately and to provide people with better, personalised chances of recovery. This requires appropriate data sets which can be made accessible for evaluation for the benefit of the general public and which can be evaluated by new analysis methods such as the rapidly developing Data Sciences.

Studying with a company

From the winter semester 2023/24, Data Science can also be studied with a company. The study program is designed in such a way that it is possible to complete an internship at a partner company and receive a salary. All information is available on the course website.

degree Bachelor of Science (B.Sc.)
type of programmefull-time programme (possible as part-time programme and as study with a company)
semester start winter semester
no. of semesters / ECTS-Credits7 semesters / 210 ECTS
admission requirements
  • University Entrance Qualification (A prerequisite for application is the general high-school graduation certificate (Abitur) or a comparable qualification for admission to higher education)
  • German C1 for non-native speakers
admission restriction no restricted entry
tuition feesno tuition fees / semester fee only
course languageGerman

To the Accreditation Council website

Many regional and global companies are expanding their commitment to Data Science. These include cross-sector industry, trade, digital media as well as financial services and management consulting. However, data analysis is also of great interest in medicine, robotics, the automotive and financial industries and process optimisation. In addition to good salary and promotion prospects, the sector also promises a creative and dynamic field of activity.

Study data science in Zwickau

Gezeichnte Grafik: Studierende vor einem Hochschulgebäude mit einem Banner "Data Science"

Länge: ca. 2 Minuten


Ms Elke Kunze

International prospective students
International full-time students

Paul-Kirchhoff-Bau (PKB), room 230a
+49 375 536 1061



International Office

Katrin Jugelt
Paul-Kirchhoff-Bau (PKB), room 230
+49 375 536 1068
+49 375 536 1063[at]

Postal address
Westsächsische Hochschule Zwickau
International Office
Kornmarkt 1
08056 Zwickau

Adress for visitors
Paul-Kirchhoff-Bau (PKB)
Dr.-Friedrichs Ring 2A
rooms 228/230/230a (above the canteen)