Zertifikatskurs Data Scientist Text Mining | Zeppelin Universität (zu.de) | Textanalytische Verfahren | Methoden wie Dictionary Approaches, Sentiment Analysis, Topic Modeling und Named Entity Recognition | KI-basierte Methoden wie Chat-GPT
The IMD MBA is a one-year, top-ranking, personalized, and experiential learning journey with purpose. Own your career direction, develop as a leader, and get equipped to create a positive and lasting impact with the IMD MBA. Marcella Rispo, IMD – International Institute for Management Development

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Master of Science in Mobility Systems Engineering and Management - 03.10.2024

E-Mobility, Autonomous Driving and Systems Engineering


Automotive companies worldwide are striving to develop adaptable new  technologies and components to further our mobility.  Environmentally-friendly mobile technologies, like those integrating  electric and hybrid vehicles, are increasingly relying on embedded  electronic systems to maximize their utility while reducing their carbon  footprint. The customer demand for safer and economical products is  pushing the industry to innovate new solutions and rethink approaches to  design and development.

These new future-forward technologies, such as advanced driver  assistance, rely heavily on implementing always-on, real-time, wireless  device communications. Technological components, such as  microcontrollers, sensors, and communication busses, are widely  available at a low cost and, once customized to meet the vehicle’s  specifications, will allow for new possibilities in utility and  performance by making use of all the (big) data captured in the vehicle.  New topological concepts, like client-server communication, rely on  these new model-based and process-oriented system design methods.

The Master´s Program in Mobility Systems Engineering and Management  assists new players as well as traditional key players with a  system-oriented approach to jumpstart in an emerging mobility future.

Focus Points of Mobility Systems Engineering and Management

  • Automotive Systems in times of Internet of Things (IoT) and  Industry 4.0: Integration of Cyber Physical Systems & Big Data  Handling
  • Automotive Standards & Applications (autonomous driving, alternative drivetrains and more)
  • Data Communication Topologies and Technologies (e.g. CAN, Flexray or wireless/car2x, Ethernet)
  • Worldwide Release & Configuration Management
  • Testing 2.0 (beyond classical HiL)
  • Security & Safety (according to ISO26262, ASIL)
  • Process Maturity Level Assessments (CMMI, SPICE)

"The Master Program Mobility Systems Engineering and Management  offers a unique combination of courses in emerging technologies &  systems engineering. Processes, methods and tools for the challenges of  future mobility in e-drive, autonomous driving,  communication-over-the-air, and worldwide release & configuration  management are introduced on the engineering as well as on the  management side."

Program Director Prof. Dr.-Ing. Eric Sax

The  Master's program Mobility Systems Engineering and Management is  splitted in 5 Engineering and 5 Management Modules of 2 weeks, each over  a period of 15 months. The modules are followed by a Master Thesis  written in the company (9 months) and often used as a innovation project  for the company. The overall duration is approx. 20 months.

Engineering Modules 

  • Processes, Methods & Tools of Systems Engineering
  • Systems Design
  • Systems Integration & Validation

Specialization Advanced Driver Assistance Systems (ADAS):

  • Functions of ADAS
  • Components & Technologies of ADAS

Specialization e-Mobility:

  • E-Mobility: Political & Technical Framework
  • E-Mobility: Components & Technology

Management Modules

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Corporate Innovation & Intrapreneurship (at ESADE, Barcelona)
  • Strategy & People

Crash Course*: Selected Topics of Electronic Engineering (preparatory module)


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Master of Science in Information Systems Engineering and Management - 03.10.2024

Digital Transformation of Products, Services, and Organizations


In  the recent years, the topic of digital transformation in companies and  the needs of qualified employees has developed rapidly. In the context  of digital transformation, companies face the challenge of qualifying  their employees as an "enabler" at the interface of business and IT.

In the Master´s program in Information Systems Engineering and  Management, IT specialists and computer scientists as well as business  administrators and engineers will be enabled to advance internal and  external digitalization and to assume leadership functions, especially  in the field of digital transformation of companies.

Focus Points

  • Blockchain Technology
  • Cloud Computing
  • Artifical Intelligence (AI) & Machine Learning
  • IT Security & Privacy
  • Artificial Intelligence as a Services (AIaaS)

"Digitalization enables new business models, creates new service  opportunities and redefines existing products. All of that is done  through software implemented innovation. This transforms our economy  towards software realized added values in an unprecedented way. Hence,  the capabilities of efficiently developing high quality software are  becoming crucial for nearly for all enterprises. In our Master´s program  Information Systems Engineering and Management accordingly we  concentrate on software engineering, software quality, in particular  security, cloud service engineering and AI technologies."

Program Director Prof. Ralf Reussner

The  Master's program Information Systems Engineering & Management is  splitted in 5 Engineering and 5 Management Modules of 2 weeks, each over  a period of 15 months. The modules are followed by a Master Thesis  written in the company (6 months) and often used as a innovation project  for the company. The overall duration is approx. 20 months.

Engineering Modules Management Modules

  • Digital Platforms
  • Software Engineering
  • Process and Knowledge Engineering
  • Security and Privacy Engineering
  • Elective Subjects:Digital Services
    Autonomous Robotics

 Management Modules

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Innovation & Projects
  • Strategy & People

Crash Course*: "Probability and Statistics" (preparatory modules)


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Master of Science in Management of Product Development - 03.10.2024

Agile Engineering of Mechatronic Systems


The Master Program in Management of Product  Development enables participants to analyse, design, operate, and  implement product development processes in their companies in an  optimized way. Based on a highly integrative and creative approach, they  can successfully translate innovative ideas into competitive products.

Focus Points of Product Development

  • Integrated product development: process planning with e.g. portfolio analysis, value analysis, DSM Blockchain Technology
  • Simulation methods (e.g. finite element method, boundary element method)
  • Product Lifecycle Management, Product Data Management, Enterprise  Resource Planning, Customer-Relationship-Management & Supply Chain  Management systems
  • Industry 4.0: Strategic product portfolio & services

"Product development is the driver of innovation. In the program  MPD you learn to manage product development in an efficient,  methodical, creative and success-oriented way. With the scientifically  sound and practice-oriented training program for professionals you get  qualified to become the driving force for successful product innovation  in your company."

Program Director Prof. Dr.-Ing. Dr. h.c. Albert Albers

The  Master's program Management in Product Development is splitted in 5  Engineering and 5 Management Modules of 2 weeks, each over a period of  15 months. The modules are followed by a Master Thesis written in the  company (9 months) and often used as a innovation project for the  company. The overall duration is approx. 20 months.

Engineering Modules 

  • Integrated Product Development by ASD - Agile Systems Design
  • Design & Validation Process and Information Systems for Product Development (PD)
  • Simulation and Target Values in PD
  • Validation and Verification in PD
  • Tools and Methods of Product Engineering

Management Modules

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Innovation & Projects
  • Strategy & People


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Master of Science in Energy Engineering and Management - 03.10.2024

Future Energy Systems and Technologies


The energy transition is associated with many  challenges, such as an increase in the efficiency of energy conversion systems based on renewable energies and their integration into future energy systems, requiring e.g. the development of capable energy storage systems and an intelligent  demand side management. Our  Master´s program in Energy Engineering and Management provides a  comprehensive understanding of present and future energy systems, and the complex interactions of their elements. Graduates are able to  analyze and optimize the energy systems' operating efficiency,  availability, and safety.

Focus Points of Energy Engineering and Management

  • Power Generation (Solar, Thermal, Wind, Biomass, Gas, Coal)
  • Energy Storage (Batteries, Thermal, Hydrogen, Fuel)
  • Smart Grids & Buildings
  • Power-to-X & X-to-Power

"The implementation of a sustainable energy system requires  connected methods and models that provide companies, politics and  society with the necessary basis for making scientifically sound  decisions on the design of the energy system transformation. „Energy  Engineering and Management“ enables the students to play an active role  in this transition process"

Program Director Prof. Dr.-Ing. Marc Hiller

The Master's program Energy Engineering and Management is divided into 5 Engineering and 5 Management modules of 2 weeks, each over a period of 15 months. The modules are followed by a Master Thesis written in the  company (9 months) and often used as an innovation project for the company. The overall duration is approx. 20 months.

Engineering Modules Management Modules

  • Renewables
  • Thermal Energy Conversion
  • Electricity Generation & Enery Storage
  • Smart Networks & Energy Distribution
  • Energy Economics

Management Modules

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Corporate Innovation & Intrapreneurship (at ESADE, Barcelona)
  • Strategy & People

Crash Courses*: "Selected Topics of Electrical Engineering" or  "Thermodynamics and Fluid Mechanics", and "Probability and Statistics" (preparatory modules.


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Master of Science in Financial Engineering - 03.10.2024

Data Science, Machine Learning and Predictive Analytics


Our Master’s program in Financial Engineering  offers you a unique combination of finance theory, engineering methods,  management tools, mathematical and computational techniques – blended  with new developments from the field of artificial intelligence and data  science. Financial Engineering introduces you to these techniques in a  practical way, with a focus on hands on applications implemented in the  Python programming language.

Focus Points of Financial Engineering

  • Data Science
  • Machine Learning For Business And Finance Innovations
  • Data-Driven Decision Making
  • Financial And Risk Management With Python

“We see modern Financial Engineering as the science of  data-driven decision making in business environments. Building more  accurate models reduces uncertainty around future events and paths the  way to better decision making. It is a mix of broad decision-making  applications, sound data and modeling work, paired with an  entrepreneurial drive to solve innovation challenges using modern  software and financial thinking, that makes our Master’s Program in  Financial Engineering a unique experience.”
Prof. Dr. Maxim Ulrich

The  Master's program Financial Engineering is diveded into 5 Engineering  and 5 Management modules of 2 weeks, each over a period of 15 months.  The modules are followed by a Master Thesis written in the company (6  months) and often used as an innovation project for the company. The  overall duration is approx. 20 months.

Engineering Modules 

  • Digital Financial Markets
  • Financial Economics for Data Scientists
  • Machine Learning for Data-Driven Decision Making
  • Engineering Aspects of Financial Markets
  • Alternative Data and Machine Learning for Business Applications

Management Modules 

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Innovation & Projects
  • Strategy & People

Crash Course*: "Probability and Statistics" (preparatory modules)


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Master of Science in Production and Operations Management - 03.10.2024

Global Production, Digital Transformation in SCM and Logistics


In an increasingly competitive environment where  the quality of a product is on an equally high level and innovations are  disseminating ever faster, a key to success of business units in  service and production is the efficiency of the value creating process.  Participants of our Master of Science Program Production Operations  Management learn to encounter the challenge of striving for global  optimum of the value creating chain while maintaining local  responsibility for execution, reliability and quality.

Focus Points of Production and Operations Management

  • Industry 4.0: Smart factories & digitalization in production (IoT)
  • Supply network management (operational/ strategic & tactical, SNP, APS, BOM)
  • International production & distribution networks
  • Virtual Engineering (from CAD Systems to CAx)
  • Prescriptive Analytics & Operations Research: Integer/ linear/  nonlinear/ dynamic programming & finding near-optimal solutions

"Design & operation of production systems and supply chain  is undergoing a change. Driven by new technology, as reflected by i4.0,  and the industrial internet, and the education and experience of the  past is no longer sufficient, to guide your company through the required  changes. Master these with POM and aquire the necessary competences,  bridging the gap between up-to-date theory and advanced technologies."

Program Director Prof. Dr.-Ing. Kai Furmans

The  Master's program Production and Operations Management is splitted in 5  Engineering and 5 Management Modules of 2 weeks, each over a period of  15 months. The modules are followed by a Master Thesis written in the  company (9 months) and often used as a innovation project for the  company. The overall duration is approx. 20 months.

Engineering Modules 

  • Collaborative Engineering in Production and
    Operations Management
  • Digital Engineering Ecosystems
  • Modern Operations Management for Supply
    Chain Networks
  • Networks of Supply & Production Systems
  • Global Production and Distribution Systems

Management Modules 

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Innovation & Projects
  • Strategy & People

Crash Course*: "Probability and Statistics" (preparatory modules)


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