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Data-Driven Consulting

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The minor programme Data-Driven Consulting is meticulously designed to equip students with cutting-edge skills and real-world experience in consulting projects, emphasizing the pivotal role of data in deriving actionable business insights. This comprehensive programme offers an immersive learning environment where students are prepared to navigate the complexities of consulting engagements, manage stakeholder relationships effectively, and leverage advanced analytical tools to inform decision-making processes. Bridging theoretical knowledge with practical application, the programme aims to cultivate the next generation of consultants adept at transforming data into strategic assets.

Uniquely, the programme adopts an interdisciplinary approach, inviting student participation across a spectrum of disciplines. It is particularly suitable for those pursuing studies in management-related fields and applied computer science, fostering a rich learning environment where diverse perspectives and expertise converge. This interdisciplinary structure ensures that graduates possess robust analytical and technical skills and understand the broader business context, enabling them to deliver comprehensive, insightful, and actionable solutions to a wide range of business challenges.

By combining the strengths of management and technical disciplines, the programme equips students with a holistic understanding of both the strategic and technical dimensions of data-driven consulting. This integrative approach is fundamental in preparing students for the multifaceted challenges they will face in the consulting industry, ensuring they are well-positioned to lead and innovate in today’s data-driven business landscape.

Programme contents

  • Introduction to Business Consulting: Foundations of consulting practices, including project scoping, milestone planning, team dynamics, and stakeholder management
  • Fundamentals of Working with Business Data: Data collection, analysis, application of statistical methods, data visualization, and interpretation of business data – including programming-driven techniques with the Python programming language.
  • Practical Applications of Business Analytics: Applying the concepts of business intelligence, data warehousing, reporting tools, and decision support systems in organizations
  • Experience from real-world projects: Support one of our partners, e.g., in the automotive industry, to solve challenging questions with the help of data.

Learning Outcomes

Upon successful completion of the Data-Driven Consulting minor programme, students will:

  • Demonstrate proficiency in managing and executing consulting projects, from initial scoping to final delivery, ensuring alignment with client objectives and expectations
  • Exhibit advanced data collection and analysis skills, employing various tools and techniques to navigate complex data sets and extract valuable insights
  • Learn to work in interdisciplinary teams – like in real-world consulting projects, it takes expertise in various areas, from business analytics to computer and data science
  • Apply critical thinking and analytical skills to inform strategic decision-making and problem-solving in diverse business scenarios
  • Communicate effectively with stakeholders, translating complex data findings into clear, actionable recommendations through compelling presentations and reports
  • Navigate ethical considerations in business analytics, upholding the highest standards of integrity and professionalism in consulting practices.
This minor programme is an unparalleled opportunity for students aspiring to become leaders in consulting, offering them the tools, knowledge, and practical experience necessary to excel in today's data-driven business landscape. Offered in winter term only. Requirements This minor is aimed at business administration and applied computer science students and those in related fields who want to supplement their knowledge from their main degree programme with knowledge of data-driven consulting.


Dipl. Ing. (FH) Elisabeth Messerschmidt

Academic Research Assistant
OfficeI211 (Nobelstraße 8)
Phone+49 711 8923-3242

Exchanges Team

Phone: +49 711 8923 2035