BA Data Science & Business

All our Business students acquire the necessary foundations for successful further study during the first year of their programme — no prior knowledge is required. The second and third years then focus on students’ chosen specialisations.

In the BA Data Science and Business programme, students receive a thorough grounding in both management and data science, highlighting the interdependence of these two fields in a data-driven economy. This grounding covers:

Traditional management courses such as International Business and Strategy, complemented by a set of soft-skills courses such as Team-building and Conflict Management, as well as Consulting.
Courses that sit at the intersection of management and data science, such as Digital Marketing and Platform Business.
Programming in Python and R are the two most widely used programming languages in data science. (No prior knowledge of programming is necessary — it is taught in a hands-on manner whereby students get extensive experience with a wide range of datasets, applying machine learning and other analytical techniques.)
Courses focusing on conceptual modelling techniques and tools, such as Digital Enterprise and Database & Requirements Management.
Students will have the opportunity to obtain certificates in machine learning and cloud computing from the Amazon Web Services Academy.
These subjects are never abstract but are always taught in an applied manner – the goal is to make the learning journey fun and to kindle intrinsic motivation. Current students value this highly: the courses with the seemingly most difficult material are also those which enjoy the highest rates of student satisfaction!

To gain further hands-on experience and sharpen their expertise, students undertake an internship at an organisation of their choice during their fifth semester. Berlin International supports students in preparing for the internship and finding a suitable organisation. Finally, the Bachelor's thesis is an opportunity for students to explore a topic that interests them independently and in depth.