Program Structure and Curriculum

• Coding Skills

  During your studies, you will acquire skills in the programming languages R and Python.

• Business Analytics Master Project

  Together with a team of fellow students, you will apply the specialist knowledge and methodologies acquired throughout your studies in a comprehensive practical project, either finding a solution to a business challenge at one of our partner companies or creating a business plan for a new product or company. Examples of recent projects: 

  • Implementing a performance dashboard for better decision-making in the sports industry
  • Increasing the use and monetization of data through the introduction of data-driven processes and business models
  • Data analytics in the field of commercial vehicles – practical application and strategic roadmap
  • Develop an algorithm which recommends the perfect roadmap for each customer, including which services and products should be offered at which point of time
  • Political analytics – optimizing politically oriented marketing campaigns

• Soft Skills

  Teamwork in essential program elements, such as the Business Analytics Master Project, and soft skills courses foster the consolidation of the necessary key qualities for management positions.

• Study Trip

  A study trip with your peers is an opportunity to broaden your horizons and learn from visiting a business school located in a European business hub, where you will attend a mandatory course (accommodation included).

• Social Class Project

  The Social Class Project provides a meaningful project management challenge while also giving students the opportunity to make a difference in the community.

Strategic Innovation & Organizational Impact

• Strategic Planning & Market Intelligence

  Competitive strategy, market disruption analysis, and future scenario planning.

• Intrapreneurship & Business Case Development

  Build compelling business cases that bridge ROI and execution.

• Leading Change: Managing Transformation in Organizations

  Lead organizational change initiatives.

• Digital Transformation with Analytics & AI

  Connect digital strategies with analytics capabilities for sustainable growth.

Business Analytics for Value Creation

• Financial Decision Intelligence & Predictive Markets

  Use advanced analytics and AI in finance, investment, and risk modeling.

• Marketing & Customer Analytics

  Understanding and Managing Customer Preferences, Customer Relationships, Market Response of Marketing etc.

• Marketing Intelligence with AI

  Drive growth through segmentation, personalization, and campaign optimization using AI.

• People & Workforce Analytics for Strategic HR

  Uncover workforce trends and inform talent decisions with predictive HR analytics.

• AI-Driven Operations & Supply Chain Excellence

  Optimize end-to-end operations using analytics, automation, and AI solutions.

Methods for Intelligent Decision-Making

• Data Science for Business

  Apply core data science techniques to drive measurable business performance.

• Critical Thinking & Analytical Problem Solving

  Develop structured thinking skills to define, analyze, and solve complex problems.

• Uncertainty Modeling & Smart Decision-Making

  Make better decisions under risk using simulations, probabilistic models, and decision theory.

• Data Storytelling & Strategic Communication

  Turn complex data into compelling narratives for stakeholders.

• AI & Machine Learning: Principles and Practice

  Learn foundational ML techniques with practical applications in business.

• Machine Learning Lab: Applied Business Projects

  Hands-on experience building and deploying ML models in real-world settings.

• Generative AI for Business Innovation

  Explore how GenAI transforms creativity, automation, and productivity in the enterprise.

Data & Technology Foundations for Business Leaders

• Enterprise Data Architecture & Cloud Technologies

  Learn how to design and manage scalable data systems to support analytics and AI.

• Responsible AI & Data Ethics

  Understand the ethical, social, and legal implications of AI in business.

• Data Governance, Security & Compliance

  Manage regulatory, privacy, and security risks in data-intensive environments.

• Tutorial for Programming in R & Python

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• Certificate in Programming in R or Python

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