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Overview

While the idea of using data to improve decision making is by no means new, various methodological advances and a proliferation of "big data" has sparked a quickly growing appreciation and practice of business analytics. However, the growing importance of data-driven and evidence-based decision making is not confined to tech giants like Amazon, Apple, Facebook, and Google. Companies across all industries, and of all sizes, have begun to build data-driven business models, resulting in a rising need to hire managers that combine business domain knowledge with a deep understanding of the methodological toolbox that can unlock the value inherent in data. This is the essential premise of the Master in Management Business Analytics concentration.

Modules

Digital Analytics

  • Data collection
  • Integration
  • Analysis
  • Visualisation
  • Segmentation
  • Classification
  • Prediction
  • Decision making

Marketing Information Analytics

  • Turning data into insights
  • Understand how customers respond to marketing decisions
  • Segmenting and targeting customers
  • Predicting customer behavior and profitability
  • Extensive use of R (one of the most sought-after marketing skills)

Predictive Analytics

  • Developing large-scale simulation models
  • Predicting the behavior of complex systems
  • Modeling uncertainty
  • Interpreting and communicating results

Prescriptive Analytics

  • Translating business problems into formal models
  • Supporting planning decisions with optimization methods
  • Translating numbers into insights
  • Sharpening analytical skills

Why Business Analytics at FS?

In order to unlock the value inherent in data, companies need managers who combine business domain knowledge with solid methodological skills. This is the essential premise of the Business Analytics concentration, which equips students with a state-of-the-art toolkit to solve business problems with real-world data.

Read more insights from Mirko Kremer, Professor of Supply Chain Management, on the blog

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