Admission requirements
You should be able to present a bachelor's degree with at least 50 ECTS credits in the field of business administration. Furthermore, 10 ECTS points in quantitative or methodological subjects and English language skills at level B2 are required.
Details
The Master's programme "Applied Business Data Science" at the International School of Management is designed for professionals who want to expand their skills in the analysis of corporate data. Digitalization requires a comprehensive understanding of large amounts of data in order to generate economic value from them. Students acquire interdisciplinary competencies that encompass both economic and data science aspects.
The programme provides practical experiences by using real data from companies to solve complex problems. Issues such as identifying termination probabilities or segmenting customers are at the heart of it. Students learn to effectively tackle these challenges through advanced programming with Python and R, as well as the use of statistical software.
Special features of the programme include practical projects such as "Digital Bootcamps" and Robotic Process Automation. This builds a high level of interface competence between IT, business administration, and data science, enabling students to work effectively in various areas such as IT consulting.
The flexible, online-based study structure allows students to complete their studies independent of their location, according to the weekly schedule. This programme offers optimal conditions for "Life Long Learning" and prepares students for the complex challenges of digitalization.
Experiences & Reviews
Reviews you can trust. Share your distance learning experience – with no incentives, just honesty. For more transparency and better decisions.
👉 Leave an honest review now
Advisory Service
Have questions about Academic Programs Applied Business Data Science? Ask your question here, even anonymously. An employee of the institution ISM International School of Management or the editorial team will answer you.
or post as a guest