Data Science for Business

In this highly quantitative interdisciplinary master's programme, you will build a solid foundation in mathematics, advanced statistical modelling, machine learning, and optimisation. You will gain expertise in data engineering, big data analytics, and AI-based techniques and algorithms, all anchored in core business principles. With a keen understanding of data-driven decision-making and the importance of communication and domain knowledge, you will emerge with strong problem-solving skills, ready to tackle complex organisational challenges. You will learn to: use foundations in economics, finance, strategy and risk to identify business-value relevant challenges and solutions professionally apply machine-learning algorithms and AI, and explain their assumptions and limits programme in Python for tables, text and time series, and design efficient workflows that move projects into production evaluate quantitative risk for decision-making, reflect critically, and communicate results to technical and non-technical audiences integrate sustainability and data protection, addressing the ethical and legal aspects of applied data science in international contexts

Programme-specific requirements recorded in SIT Connect.

• Admission requirements for all Master of Science programmes Programme specific admission requirements for Master of Science in Data Science for Business

The official programme record lists English. It does not publish a programme-specific minimum language-test score, so no score is invented here.

Preparation checklist; final document rules and certified translations are confirmed during application review.

This programme is recorded as accredited in the central catalogue.