This module introduces the fundamentals of data science and business analytics in today’s data-rich digital environments. It focuses on providing the right information at the right time to support managerial decision-making, using case studies, real-world data, and practical exercises. A key emphasis is placed on causal inference in business analytics, including methods such as synthetic control groups and randomized controlled trials to evaluate the impact of managerial decisions. The course also introduces core concepts from data science, machine learning, big data, statistics, and software engineering within the context of data-driven decision-making.
- Differentiate and connect key concepts in data science, data engineering, business analytics, AI, and Big Data, understanding their distinctions and interdependencies
- Utilize data to address management questions and translate business problems into data-driven insights
- Identify relevant data sources and apply methods to calculate, interpret, and predict key business metrics
- Apply statistical and analytical techniques, including synthetic control groups, to evaluate business decisions and optimize corporate strategies
- Demonstrate how business analytics drives better strategic planning, increases operational efficiency, and creates a competitive advantage
This course is part of the prestigious part-time Goethe MBA Digital Transformation | Data Science | Sustainability, conducted in English on Fridays and Saturdays on Campus Westend. It offers a valuable opportunity to network and gain expertise without committing to a full degree program. Upon completion, participants receive a Certificate of Participation. This course may be credited towards the Certificate of Advanced Studies (CAS) in Data Science & AI when completed together with the other required courses within one academic year. As the number of seats is limited, we recommend to register early. If you're a GBS or Goethe University alum, explore our attractive alumni discount options.
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Dr. Marius Liebald
Dr. Marius Liebald is a postdoctoral researcher at Uppsala University in the Department of Economic History. Previously, he worked at the Department of Management and Microeconomics at Goethe University Frankfurt, where he also earned his PhD with highest distinction (summa cum laude) in 2023. His research focuses on Economic and Financial History, Political Economy, and Business Informatics, using advanced statistical methods and AI-based tools. He has completed a research stay at the Paris School of Economics and has received research grants from the DFG, the Fritz Thyssen Foundation, and the FAZIT Stiftung.