# data[].attributes.name
Project Management and Entrepreneurship in Digital Reality

# data[].attributes.abstract
This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods.

# data[].attributes.description
About This Course

This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods. It teaches the principles, techniques and processes of Design Thinking, a user-centric approach to generating innovations.

Learning Objectives

Acquire subject-specific theoretical and methodological knowledge.

Explore, understand, and apply the methods and mindsets of Design Thinking.

Practice techniques through concrete project challenges.

Study Programs

This course is offered as an elective for all study programs.

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Program Outcomes

Students learn Design Thinking principles, techniques, and processes, applying them to real-world challenges. The module emphasizes teamwork, collaboration, and effective presentation skills.

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Prof. Dr. Maren Borkert

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Even quarters

Course Staff

Prof. Dr. Maren Borkert

Prof. Dr. Maren Borkert is a renowned academic specializing in Digital Entrepreneurship and Innovation Management. She served as a Professor and Vice President of Research at XU Exponential University. Her research focuses on disruptive technologies, business model innovation, and sustainability. With a background in migration studies, she has published extensively on topics such as AI ecosystems and platform economies. Her career includes positions at TU Berlin, Universität Wien, and ICMPD.

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# data[].attributes.creator[].description
Prof. Dr. Maren Borkert is a renowned academic specializing in Digital Entrepreneurship and Innovation Management. She served as a Professor and Vice President of Research at XU Exponential University. Her research focuses on disruptive technologies, business model innovation, and sustainability. With a background in migration studies, she has published extensively on topics such as AI ecosystems and platform economies. Her career includes positions at TU Berlin, Universität Wien, and ICMPD.

# data[].attributes.abstract
Design Thinking introduces the user-centric approach to innovation. Students learn Design Thinking principles, techniques, and processes, applying them to real-world challenges. The module emphasizes teamwork, collaboration, and effective presentation skills.

# data[].attributes.description
About This Course

This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods. It teaches the principles, techniques and processes of Design Thinking, a user-centric approach to generating innovations. The Design Thinking process combines methods and tools from the fields of design, engineering, the social sciences and business administration. The approach uses these tools to determine the latent desires and needs of future customers. This user-orientation is combined with the perspective of technological feasibility and economic viability. A team-based approach, it not only relies on the creativity of the individual, but also on collaboration and cooperation.

Learning Objectives

Acquire subject-specific theoretical and methodological knowledge

Explore, understand and apply the methods and mindsets of Design Thinking

Practice techniques using concrete project challenges

Learn how to effectively and productively contribute to a collaborative team

Practice teamwork and conflict management

Present in front of an audience and in the face of critique

Study Programs

This course is mandatory for the following study programs.

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Cybersecurity

M.Sc. Digital Leadership

This course is offered as an elective for the following study programs.

MBA Digital Technologies

MBA Digital Transformation

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

Knowledge and skills as provided in the Prep courses.

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr. Steven Ney

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Dr. Steven Ney

Steven completed his doctorate in the policy sciences at the Department of Comparative Politics in the University of Bergen. Trained as a policy analyst at the University of London, Steven Ney has worked on a wide range of policy issues in a number of research institutes including the LOS Center in Bergen, ICCR in Vienna and the International Institute for Applied Systems Analysis in Laxenburg. After spending four years from 2005 as an Assistant Professor of Political Science at Singapore Management University, Steven Ney took up the Chair of Social Entrepreneurship at Jacobs University, Bremen in August 2009. From 2014-2018, Steven Ney designed, led and implemented continuing education formats at the HPI Academy and the HPI School of Design Thinking in Potsdam. In November 2018, Steven joined T-Systems International, a subsidiary of Deutsche Telekom. Working with both internal and external T-Systems customers, Steven designed and delivered co-creation processes to help develop innovative digital products, organizational strategies, and new business models. Most recently, Steven was involved in designing and delivering the X-Creation format in which he supports diverse teams from cross-industry eco-systems in tackling pressing common challenges.

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# data[].attributes.learningObjectives[].name[].name
EVALUATING DATA, INFORMATION AND DIGITAL CONTENT

# data[].attributes.teaches[].name[].name
EVALUATING DATA, INFORMATION AND DIGITAL CONTENT

# data[].attributes.educationalAlignment[].name[].name
business, administration and law not elsewhere classified

# data[].attributes.creator[].description
Steven completed his doctorate in the policy sciences at the Department of Comparative Politics in the University of Bergen. Trained as a policy analyst at the University of London, Steven Ney has worked on a wide range of policy issues in a number of research institutes including the LOS Center in Bergen, ICCR in Vienna and the International Institute for Applied Systems Analysis in Laxenburg. After spending four years from 2005 as an Assistant Professor of Political Science at Singapore Management University, Steven Ney took up the Chair of Social Entrepreneurship at Jacobs University, Bremen in August 2009. From 2014-2018, Steven Ney designed, led and implemented continuing education formats at the HPI Academy and the HPI School of Design Thinking in Potsdam. In November 2018, Steven joined T-Systems International, a subsidiary of Deutsche Telekom. Working with both internal and external T-Systems customers, Steven designed and delivered co-creation processes to help develop innovative digital products, organizational strategies, and new business models. Most recently, Steven was involved in designing and delivering the X-Creation format in which he supports diverse teams from cross-industry eco-systems in tackling pressing common challenges.

# data[].attributes.abstract
This module focuses on advanced theoretical and practical frameworks for managing digital trans-formation and its impact on work and organizations.

# data[].attributes.description
About This Course

This module focuses on advanced theoretical and practical frameworks for managing digital trans-formation and its impact on work and organizational structures. Students examine how data-driven strategies, human-AI collaboration, and algorithmic management systems reshape modern organi-zations and workforce dynamics.

The rapid advancement of digital technologies requires leaders to rethink traditional management practices, address the psychological impacts of automation, and develop responsible approaches to digital HR transformation. This module equips students with the critical evaluation skills needed to navigate the complexities of digital management while balancing technological efficiency with human values and employee well-being.

Learning Objectives

Provide students with an understanding of advanced concepts of leadership and change management in the digital age.

have in-depth knowledge of the change management process

apply leadership theories and change management concepts in practice, e.g. in companies of various industries or public institutionshow to create and realize new business ideas outside and inside of existing organizations

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Course Staff

Prof. Dr. Georg Loscher

Prof. Dr. Georg Loscher is a Senior Researcher at the German University of Digital Science, specializing in the digital transformation of management. He previously held a senior research position at the Universität der Bundeswehr München, where he completed his PhD and habilitation. Dr. Loscher has also conducted academic visits at the University of Oxford and Trinity College Dublin, focusing on how digital technologies reshape management and work.

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# data[].attributes.creator[].description
Dr. Georg Loscher is a Senior Researcher at the German University of Digital Science, specializing in the digital transformation of management. He previously held a senior research position at the Universität der Bundeswehr München, where he completed his PhD and habilitation. Dr. Loscher has also conducted academic visits at the University of Oxford and Trinity College Dublin, focusing on how digital technologies reshape management and work.

# data[].attributes.abstract
The module provides a deep dive into the field of software development. Software is a crucial component of every modern device. Software will play a more and more essential role in the future. Hence, more and more companies will touch on software development (projects) in the future. To better understand the process behind software development, the first coding camp places students into a team software development project in which they get to understand and experience it.

# data[].attributes.description
About This Course

The module provides a deep dive into the field of software development. Basic programming skills are expected as a pre-requisite. We will dive into the world of Python programming and quickly recap the basic programming concepts such as variables, control structures, and functions. We will then move on to peek into object-oriented programming and from there move to Django, a web development framework for Python. Finally, we'll discuss agile development methods, clean code, open source development, version control, and some software engineering basics.

To better understand the process behind software development, the first coding camp places students into a team software development project in which they get to understand and experience it. Students will be tasked with scoping, planning, and developing (coding) a small project, thus enabling an understanding of the challenges provided with all of these phases.

Learning Objectives

Students are aware of and can explain different models of software development, such as agile as well as traditional development principles.

Students experience working and developing code for a project in a (small) team.

Students have developed and experienced the lifecycle of a software development project.

Study Programs

This course is mandatory for the following study programs.

MBA Digital Technologies

MBA Digital Transformation

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Cybersecurity

M.Sc. Digital Leadership

This course is offered as an elective for the following study programs.

The course is mandatory for all programs and can, therefore, not be selected as an elective.

Micro-Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

Basic programming skills, ideally in Python. Knowledge and skills as provided in the Prep courses.

General Information

Teaching Format: Mastery:Coding

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr. Thomas Staubitz

Examinations:

Four homeworks: Week1 to Week4, about 15-20 multiple choice questions, 1h each (in total 26% of the grade.)

Hands-on programming exercises: Week1 and Week2, about 10 - 15 small hands-on coding exercises (in total 11% of the grade.)

Warm-up project: Week3 and Week4, small Django programming task, two short presentations(in total 13% of the grade.)

Capstone project: Week5 to Week8, Django programming project, weekly updates, one presentation and a lab report(in total 50% of the grade.)

Self-test following the videos: These are just for you to check your understanding, they do not contribute to the grade.

Offered: Even quarters

Course Staff

Prof. Dr. Thomas Staubitz

Since April 2025, Thomas is a Professor for Educational Technologies and Social Learning at the German University of Digital Science. Throughout 2024, he was responsible for the setup of the German UDS e-learning eco-system. Before that, he was a Senior Lecturer at the Hasso Plattner Institute in Potsdam, Germany, where he was responsible for the openHPI MOOC platform and several of its partner platforms, such as OpenWHO, the AI-Campus, the eGov-Campus and several more. Thomas designed, produced, and conducted several courses on object-oriented programming, Linux, remote teamwork and others on the openHPI MOOC platform. He also was involved in several of the Python courses that have been offered there. He started his career in computer science around 2000 with a Multimedia Producer Diploma at SAE Berlin followed by a Bachelor's and Master's in International Computer Science and Media at the HTW Berlin and a Doctorate in Computer Science at the Hasso Plattner Institute. Since then he's been working in several software development and teaching roles and positions at public and private universities, such as HTW Berlin, SAE Berlin, BHT Berlin, and SMEs, such as TimeKontor AG / SERIOUS GAMES or Awalkoutside. Thomas is a Senior IEEE Member and has published lots of research on various aspects of open online learning.

LinkedIn: https://www.linkedin.com/in/tomstaubitz/
ResearchGate: https://www.researchgate.net/profile/Thomas-Staubitz

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# data[].attributes.creator[].description
Since January 2024, Thomas is a Senior Researcher at the German University of Digital Science. Before that, he was a Senior Lecturer at the Hasso Plattner Institute in Potsdam, Germany, where he was responsible for the openHPI MOOC platform and several of its partner platforms, such as OpenWHO, the AI-Campus, the eGov-Campus and several more. Thomas designed, produced, and conducted several courses on object-oriented programming, Linux, remote teamwork and others on the openHPI MOOC platform. He also was involved in several of the Python courses that have been offered there. He started his career in computer science around 2000 with a Multimedia Producer Diploma at SAE Berlin followed by a Bachelor's and Master's in International Computer Science and Media at the HTW Berlin and a Doctorate in Computer Science at the Hasso Plattner Institute. Since then he's been working in several software development and teaching roles and positions at public and private universities, such as HTW Berlin, SAE Berlin, BHT Berlin, and SMEs, such as  TimeKontor AG / SERIOUS GAMES or Awalkoutside. Thomas is a Senior IEEE Member and has published lots of research on various aspects of open online learning

# data[].attributes.abstract
Systems & Network Security focuses on understanding vulnerabilities in various systems and networks, from traditional computers to IoT devices and 6G networks. Students will learn to identify attack vectors, evaluate security measures, and analyze systems using practical tools.

# data[].attributes.description
About This Course

An increasing number of attacks are attempting to compromise individual systems or networked infrastructures.

This module first looks at the relevant characteristics of different systems and networks in order to identify and categorize attack vectors and potential vulnerabilities. This then makes it possible to consider various theoretical security concepts and measures and to examine their practical implementation for specific attack vectors. In addition to the security concepts used and corresponding vulnerabilities of "classic" computer systems and networks, this module also deals with the security functions and potential vulnerabilities of systems - such as smartphones, IoT devices and cloud infrastructures - as well as emerging technologies for modern telecommunication - such as 6G.

Learning Objectives

Students know relevant characteristics/security concepts of common systems and networks, as well as potential vulnerabilities.

Students will be able to independently analyze systems and networks using appropriate methods on a theoretical level and identify potential attack vectors.

Students can evaluate described security measures in the context of various threats/attacks.

Students acquire experience in using systems and tools to analyze security measures and identify potential attack vectors.

Students have gained an insight into current state and open challenges of practice and research on the topic of systems and network security.

Study Programs

This course is mandatory for the following study programs:

MBA Digital Technologies

M.Sc. Cybersecurity

This course is offered as an elective for the following study programs:

MBA Digital Transformation

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Digital Leadership

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortium's Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

Knowledge and skills as provided in the Prep courses.

General Information

Teaching Format: Experience

Total Workload Master: NA

Total Workload MBA: 100h (40h/60h) / 4 ECTS

Total Workload Micro Degree: NA

Module coordinator: Dr. Pejman Najafi

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Dr. Pejman Najafi

Pejman Najafi is a senior researcher at the German UDS. He holds an M.Sc. in Information Security from University College London, UK, and a Ph.D. in Cybersecurity from the University of Potsdam, Germany. With a strong academic background and extensive industry experience, including security consulting roles for companies such as Shell, SAP, and Deutsche Telekom, Pejman has established himself as an expert in cybersecurity. His research and work focus on enhancing Security Operations (SOCs) through the use of Big Data Analytics, Artificial Intelligence and Machine Learning.

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# data[].attributes.creator[].description
Pejman Najafi is a senior researcher at the German UDS. He holds an M.Sc. in Information Security from University College London, UK, and a Ph.D. in Cybersecurity from the University of Potsdam, Germany. With a strong academic background and extensive industry experience, including security consulting roles for companies such as Shell, SAP, and Deutsche Telekom, Pejman has established himself as an expert in cybersecurity. His research and work focus on enhancing Security Operations (SOCs) through the use of Big Data Analytics, Artificial Intelligence and Machine Learning.

# data[].attributes.abstract
This module is an introduction to logic and symbolic AI.
We introduce the principles of computational logic and the fundamentals of the logic programming paradigm as exemplified by the Prolog language. We then use these concepts to solve classical artificial intelligence tasks such as problem solving and game playing. 

# data[].attributes.description
About This Course

This module is an introduction to logic and symbolic AI. We introduce the principles of computational logic and the fundamentals of the logic programming paradigm as exemplified by the Prolog language. We then use these concepts to solve classical artificial intelligence tasks such as problem solving and game playing.

Learning Objectives

Understand the basics of computational logic.

Model artificial intelligence tasks in logical formalisms.

Gain basic programming skills in the logic programming language Prolog.

Tackle artificial intelligence tasks using generic solution algorithms in Prolog.

Study Programs

This course is mandatory for the following study programs.

M.Sc. Applied AI

This course is offered in even quarters and can, therefore¹, be selected as an elective in the following study programs:

M.Sc. Cybersecurity

M.Sc. Advanced Digital Reality

M.Sc. Digital Leadership

MBA Digital Technologies

MBA Digital Transformation

¹: Generally all mandatory modules of a study program can be selected as an elective in all study programs in which they are not offered as a mandatory module. However, there are several rules that apply. First, at least half of the selected electives have to be taken from your study program. Second, all electives are only available in either odd or even quarters. Therefore, not all electives are available in all programs (given that you want to finish the program within the regular time frame and do not want to take that elective in parallel to your impact project.)

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

Willingness to engage with abstract concepts and novel ideas.

General Information

Teaching Format: Knowledge Essential

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr Felix Weitkämper

Examinations: Project report.

Offered: Even quarters

Course Staff

Dr. Felix Weitkämper

Felix has completed his undergraduate education in Mathematics with Philosophy at the LMU in Munich. Afterwards, he completed a doctorate in Mathematics with the Logic Group at the University of Oxford. After graduating from Oxford, he spent a year teaching 15-19 year olds at a technical college in the North of England as part of the Researchers in Schools initiative, which brought postgraduates from selective universities into schools in disadvantaged parts of England. In 2020, Felix moved into computer science and joined the programming languages and AI group at the LMU in Munich as a postdoctoral researcher. His research focus lies on interpretable, human-centered AI, and in particular on the combination of statistical learning and modelling with sophisticated logical reasoning. Within this field, his work spans from mathematical foundations to systems and applications in the life sciences. He is part of the German UDS family since October 2024 as a full-time senior researcher, doing his part for the new generation of AI specialists and deciders to be grounded in the whole breadth of AI research and technique.

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# data[].attributes.creator[].description
Felix has completed his undergraduate education in Mathematics with Philosophy at the LMU in Munich. Afterwards, he completed a doctorate in Mathematics with the Logic Group at the University of Oxford. After graduating from Oxford, he spent a year teaching 15-19 year olds at a technical college in the North of England as part of the Researchers in Schools initiative, which brought postgraduates from selective universities into schools in disadvantaged parts of England. In 2020, Felix moved into computer science and joined the programming languages and AI  group at the LMU in Munich as a postdoctoral researcher. His research focus lies on interpretable, human-centered AI, and in particular on the combination of statistical learning and modelling with sophisticated logical reasoning. Within this field, his work spans from mathematical foundations to systems and applications in the life sciences. He is part of the German UDS family since October 2024 as a full-time senior researcher, doing his part for the new generation of AI specialists and deciders to be grounded in the whole breadth of AI research and technique.

# data[].attributes.abstract
The module covers how digital ecosystems and platforms reshape markets and enable new business models, providing key skills for the digital economy.

# data[].attributes.description
About This Course

This module explores the transformative impact of digital ecosystems and platforms on the contemporary business landscape. Students will examine how these interconnected systems create value, reshape market dynamics, and challenge traditional business models.

Students will gain a comprehensive economic understanding of digital ecosystems and platforms, equipping them with the skills to navigate and leverage these modern business frameworks effectively.

Learning Objectives

Analyze the characteristics, opportunities, and challenges of digital ecosystems and platforms.

Understand how digital ecosystems and platforms create value for stakeholders and how to assess their economic significance.

Develop strategic insights for launching and managing successful digital platforms.

Study Programs

This course is mandatory for the following study programs.

MBA Digital Technologies

MBA Digital Transformation

M.Sc. Digital Leadership

This course is offered as an elective for the following study programs.

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Cybersecurity

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

None

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr. Marco Bade

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Dr. Marco Bade

Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

Frequently Asked Questions

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# data[].attributes.creator[].description
Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

# data[].attributes.abstract
This course delves into finance principles for the digital age, covering topics like the CFO's role, fintech's impact, valuing digital assets, and making investment decisions in dynamic digital environments. Participants will gain insights into the unique challenges and opportunities of the digital economy.

# data[].attributes.description
This open course explores finance principles tailored to the unique challenges and opportunities presented by the digitization of economies. The course begins with an introduction to corporate finance and the evolving role of the CFO in a digital landscape. Furthermore, participants will learn how financial technology can address frictions and generate value, and why traditional financial statements do not work well for digital firms. Investment decision-making strategies will be examined within dynamic digital environments, where uncertainty prevails and flexibility is crucial, alongside considerations of the cost of capital and capital structure specific to companies in the digital economy. The course also addresses how to value digital initiatives, such as start-ups. By investigating current trends and emphasizing critical aspects that influence financial decision-making, participants will equip themselves with essential skills for making sound financial decisions in the digital age.
Join our online learning community!

Required Skills:

None

Course level:

Basic

Target Audience:

Anyone who is interested in digital transformation

Effort:

3-6 hours per course week

Course Staff

Dr. Marco Bade

Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

Frequently Asked Questions

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Our German-UDS.academy platform works best with current versions of Chrome, Edge, Firefox, or Safari.

See our list of supported browsers for the most up-to-date information.

# data[].attributes.creator[].description
Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

# data[].attributes.abstract
The module combines theoretical economic concepts and frameworks with clear, practical application in entrepreneurial and corporate contexts. This module equips students with strategic thinking skills to navigate dynamic business environments. It covers various disciplines of strategic management and enables students to develop, implement and critically reflect on strategies. Practical case studies from various industries deepen understanding and prepare students for strategic management tasks.

# data[].attributes.description
About This Course

Within fast changing environments, a strategic perspective is fundamentally important for setting the right directions for future developments of companies. Therefore, the central aim of this module is to provide students with the economic understanding and skills necessary to become good strategists — whether in a large corporation, a mid-sized company, or an entrepreneurial startup.

The module makes participants familiar with the economic foundations of strategic management, the role of entrepreneurs within firms and the economy, and various disciplines of strategic management, such as technology strategy, pricing strategy, or investment strategy. It covers strategic management on the business as well as on the corporate level and the entrepreneurial transformation following a good strategy process by analyzing case studies from various industries and regions.

Learning Objectives

Enable students to recognize and describe the characteristics of entrepreneurial management in established companies.

Assess and evaluate the relevance of entrepreneurial activity in established companies for innovation.

Evaluate the economics of strategies chosen by companies concerning their potential for future.

Apply tools and frameworks for corporate entrepreneurial activities within companies across industries or public institutions.

Study Programs

This course is mandatory for the following study programs:

MBA Digital Technologies

MBA Digital Transformation

M.Sc. Digital Leadership

This course is offered as an elective for the following study programs:

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Cybersecurity

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

None

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr. Marco Bade

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Dr. Marco Bade

Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

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Dr. Marco Bade is an economist serving as Senior Researcher at German University of Digital Science. Previously, he held positions as Associate Professor at ICN Business School, Faculty Member of the CEREFIGE research laboratory at Université de Lorraine, Postdoctoral Researcher at Technische Universität Berlin, Interim Professor and Chair of Finance and Banking at Universität Potsdam, and Research Associate at Berlin School of Economics. His research focuses on the economics of business venturing, particularly entrepreneurial finance.

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Big data drives decision-making with machine learning and data analytics. This course explores sub-symbolic systems like regression, discrimination, decision trees, neural networks, and SVMs. Students learn data harmonization, pipelines, and AI problem-solving strategies.

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About This Course

Decision-making is empowered by (big) data through the use of machine learning and data analytics principles. The course looks at subsymbolic systems: regression models, linear and nonlinear discriminators, decision trees, small neural networks, and support vector machines, among others.

This module conveys fundamental technologies behind big data applications. The students are tasked with understanding and experiencing core principles of e.g. data harmonization and data pipelines fueling machine-learning algorithms.

In the course, students will compare different theoretical approaches to AI and be able to choose the best problem-solving strategy for a given application.

Learning Objectives

Students understand the fundamental goals of machine learning and data analytics.

Provide students with an advanced understanding of the mathematics and technology behind AI models.

They become proficient in the application of methods of data science, machine learning, and data analytics.

Students can identify problems in data science and are prepared to select the best approach from a toolbox of algorithms.

Students are able to formulate a scientific problem-oriented report structuring and explaining their methods of problem-solving and the respective results.

Study Programs

This course is mandatory for the following study programs.

M.Sc. Applied AI

This course is offered in odd quarters and can, therefore¹, be selected as an elective in the following study programs:

M.Sc. Cybersecurity

M.Sc. Advanced Digital Reality

M.Sc. Digital Leadership

MBA Digital Technologies

MBA Digital Transformation

¹: Generally all mandatory modules of a study program can be selected as an elective in all study programs in which they are not offered as a mandatory module. However, there are several rules that apply. First, at least half of the selected electives have to be taken from your study program. Second, all electives are only available in either odd or even quarters. Therefore, not all electives are available in all programs (given that you want to finish the program within the regular time frame and do not want to take that elective in parallel to your impact project.)

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

None

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (40h/60h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Dr. Felix Weitkämper

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Dr. Felix Weitkämper

Felix has completed his undergraduate education in Mathematics with Philosophy at the LMU in Munich. Afterwards, he completed a doctorate in Mathematics with the Logic Group at the University of Oxford. After graduating from Oxford, he spent a year teaching 15-19 year olds at a technical college in the North of England as part of the Researchers in Schools initiative, which brought postgraduates from selective universities into schools in disadvantaged parts of England. In 2020, Felix moved into computer science and joined the programming languages and AI group at the LMU in Munich as a postdoctoral researcher. His research focus lies on interpretable, human-centered AI, and in particular on the combination of statistical learning and modelling with sophisticated logical reasoning. Within this field, his work spans from mathematical foundations to systems and applications in the life sciences. He is part of the German UDS family since October 2024 as a full-time senior researcher, doing his part for the new generation of AI specialists and deciders to be grounded in the whole breadth of AI research and technique.

Frequently Asked Questions

What web browser should I use?

Our German-UDS.academy platform works best with current versions of Chrome, Edge, Firefox, or Safari.

See our list of supported browsers for the most up-to-date information.

# data[].attributes.creator[].description
Felix has completed his undergraduate education in Mathematics with Philosophy at the LMU in Munich. Afterwards, he completed a doctorate in Mathematics with the Logic Group at the University of Oxford. After graduating from Oxford, he spent a year teaching 15-19 year olds at a technical college in the North of England as part of the Researchers in Schools initiative, which brought postgraduates from selective universities into schools in disadvantaged parts of England. In 2020, Felix moved into computer science and joined the programming languages and AI  group at the LMU in Munich as a postdoctoral researcher. His research focus lies on interpretable, human-centered AI, and in particular on the combination of statistical learning and modelling with sophisticated logical reasoning. Within this field, his work spans from mathematical foundations to systems and applications in the life sciences. He is part of the German UDS family since October 2024 as a full-time senior researcher, doing his part for the new generation of AI specialists and deciders to be grounded in the whole breadth of AI research and technique.