Hochschule KarlsruheHochschule Karlsruhe - University of Applied Sciences
Hochschule KarlsruheHochschule Karlsruhe - University of Applied Sciences
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Data Science (B.Sc.)


Data Science

In the cutting-edge bachelor's degree program Data Science, you will learn to design solutions for complex problems in connection with large amounts of data, to evaluate them and to implement them with current technologies and tools. In addition to theory, we teach you, by means of project work, practical content from computer science, mathematics and statistics, which is combined with domain knowledge from business (e.g. Industry 4.0, Smart Logistics, Financial Services).

Perfect study mix of lectures and hands-on experience

For your studies, you can expect comprehensive theoretical and practical training in all areas of Data Science. Data Analytics, Machine Learning, or Big Data will no longer be unfamiliar to you. You will apply your knowledge directly in smaller data science projects, extensive domain projects and in the internship semester in a company. 

Your degree in Data Science with career prospects

The bachelor's degree program concludes after seven semesters with the degree "Bachelor of Science" (B.Sc.) qualifying for professional life. After successfully completing the Bachelor's program in Data Science you can also get admission to the Master's degree progream in Computer Science or the Master's degree program in Business Information Systems.


Miriam Semling
Nicole Bregulla

Phone: +49 (0)721 925-2966
sekretariat.wi.iwispam prevention@h-ka.de

Office hours:
Mo.–Do. 08:00–13:00 Uhr
Fr. 08:00–12:00 Uhr

Geb. E, Raum 109
Moltkestraße 30
76133 Karlsruhe

At a glance

Qualification awarded Bachelor of Science (B. Sc.)
Start of program Winter semester  & Summer semester
ECTS credit points 210 in total
Standard period of study 7 semesters
Admission prerequisites Pre-study work experience is not required
Accreditation Yes (certificate)

Who is the program aimed at?

For the Data Science degree program, you should enjoy working in an interdisciplinary manner and in a team; in addition, you should have the ability to systematically solve complex problems and possess a good capacity for abstraction. If you also have good mathematical knowledge and skills, you are in the right place. Previous knowledge of programming is not necessary.

A student talks about her experiences:
Lena Sommer

Lena Sommer has been studying Data Science since the 2020/2021 winter semester, making her one of the first students to take this course at Karlsruhe University of Applied Sciences. Prior to that, she studied business administration for two years at DHBW Karlsruhe. 

... see the interview

Content Internship & studying abroad Career prospects Organization & exams