Skip to main content Skip to page footer

Data-Driven Consulting

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.

+++ PLEASE NOTE: This programme runs only in Winter Semester! +++

Download Flyer
Ein Studierender macht eine Pause auf Sitzgelegenheiten. Ein Studierender macht eine Pause auf Sitzgelegenheiten. Ein Studierender macht eine Pause auf Sitzgelegenheiten.

Where Business Meets Data

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

Foundations of consulting practices, including project scoping, milestone planning, team dynamics, and stakeholder management

Data collection, analysis, application of statistical methods, data visualization, and interpretation of business data – including programming-driven techniques with the Python programming language

Applying the concepts of business intelligence, data warehousing, reporting tools, and decision support systems in organizations

Support one of our partners, e.g., in the automotive industry, to solve challenging questions with the help of data.

Learning Outcomes

Master the Consulting Process

Demonstrate proficiency in managing and executing consulting projects, from initial scoping to final delivery, ensuring alignment with client objectives and expectations

Analyze Data with Confidence

Exhibit advanced data collection and analysis skills, employing various tools and techniques to navigate complex data sets and extract valuable insights.

Collaborate Across Disciplines

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

Think Strategically, Act Analytically

Apply critical thinking and analytical skills to inform strategic decision-making and problem-solving in diverse business scenarios

Present Insights Effectively

Communicate effectively with stakeholders, translating complex data findings into clear, actionable recommendations through compelling presentations and reports

Act Ethically and Professionally

Navigate ethical considerations in business analytics, upholding the highest standards of integrity and professionalism in consulting practices.

Das Bild zeigt Studenten in einem Vorlesungsraum während einer Präsentation. Das Bild zeigt Studenten in einem Vorlesungsraum während einer Präsentation. Das Bild zeigt Studenten in einem Vorlesungsraum während einer Präsentation.

About our programs

Exchange students are able to choose from a variety of English-taught Minor Programs. Each Minor is a one semester long set program. Most Minors run every semester, and normally consist of 30 ECTS credits. 1 ECTS credit normally equals approximately 30 hours of work. Please note that it is NOT possible to pick and mix courses from different Minors. In order to be admitted to one of our Minors, we expect students to have a language level of B2 or higher in English (non-native speakers need to include proof of language proficiency in their application documents).

Course catalogue
Ein Studierender lächelt eine andere Studierende an. Ein Studierender lächelt eine andere Studierende an. Ein Studierender lächelt eine andere Studierende an.

Who Should Apply

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.

Course

Module name ECTS
Specialist Project Management 1: Business Consulting Project 6
Specialist Project Information Technology 1: Introduction to Data Science 6
Specialist Project Information Technology 2: Business Intelligence Applications 6
Specialist Project Information Technology 3: Real-world Consulting Project 6
Tools for Business Analytics 2
German Society and Culture 2

Contact

account_circle
Dipl. Ing. (FH) Elisabeth Messerschmidt Akademische Mitarbeiterin Wirtschaftsinformatik und digitale Medien E-Mail: messerschmidt@hdm-stuttgart.de Telefon: 0711 8923-3242
account_circle
Laura Ryhänen International Coordinator Akademisches Auslandsamt E-Mail: ryhaenen@hdm-stuttgart.de Telefon: 0711 8923-2035
account_circle
Portrait von Carolina Hantke
Carolina Hantke International Coordinator Akademisches Auslandsamt E-Mail: hantke@hdm-stuttgart.de Telefon: 0711 8923-3030