Plug-in Modules

Plug-in modules are used to specifically expand the range of courses that provide students with particularly innovative and interdisciplinary content – independently of the curricula of the respective degree programs. In this way, students can develop specific competencies and acquire knowledge that cannot yet be taken into account in their regular modules, deal with issues and approaches from disciplines outside their field of study, and work on interdisciplinary projects together with fellow students from other subjects.

Plug-in Modules in the winter semester 2023/24

AI-assisted Writing (Project Week)

In this project, participants will develop an AI tool that supports students throughout the writing process by providing timely feedback and suggesting alternatives.

Artificial Intelligence for Innovation and Entrepreneurship

In this course, students develop an in-depth understanding of the technologies behind Artificial Intelligence and its implications for organizations and society as a whole. Based on this, they will ideate and present their own AI use cases.

Behavioral Economics Meets Real World Challenges. A Project Rally

This module offers participants from all backgrounds an overview of current issues in behavioral economics and their application on current societal or environmental challenges.

Business Plan Basic Seminar

A class with a start-up feel: In this course, students work in teams to develop their own entrepreneurial idea in agile, iterative cycleswith a lot of real-life feedback.

Comics Illustration Synthesis Using Deep Generative Models (Project Week)

In this project, students will develop a generative model based on machine learning algorithms that can create comic book illustrations from text descriptions.

Digital Product School

In the three-month Digital Product School, students learn to build innovative digital products that solve real-world problems and provide true value to users.

Basic Principles of Rational Negotiations

Reaching objectives with good preparation: In this course, students deal with the theoretical basics and the practice-oriented application of negotiation strategies and techniques.

Basic Principles and international Aspects of Corporate Management

Learning to lead: The course teaches the fundamental aspects of business management and their application in the practice of national and international companies.

Human-AI Interaction

The course takes a look at the interface between AI systems and humans and analyzes models and methods for developing interactive systems that enable a harmonious relationship between humans and AI.

Innovation Sprint

In five days, students learn to develop innovative, customer-focused and impact-driven business ideas by taking on a partner's challenge in an interdisciplinary team.

Innovative Entrepreneurs

In this course, participants gain insights from the practice of founders and entrepreneurs, and work on their own project to improve self-leadership.


Marketing Entrepreneurship Lab

At the Marketing Entrepreneurship Lab, students can deepen their marketing knowledge and apply it in practice: They support a start-up of their choice, for example in strategic marketing, market research or product launch.

Mathematical Reasoning Using Large Language Models

In this seminar, students acquire a comprehensive understanding of large language models and the opportunities and challenges of applying them to mathematical problems.

Principled Entrepreneurial Decisions

In this course, students as future leaders are challenged to critically reflect on the role that personal values and principles can and should play in making difficult business decisions.


Safeguarding Bavarian Beer Heritage: Immersive virtual beer tour with AI (Project Week):

In this project, students will develop a concept that uses VR technology and AI to enable immersive experiences around Bavaria's beer heritage.

Tech Challenge

Learning by doing: In this seminar, students take on the challenge of solving a practical business problem posed by entrepreneurial partners and thus further develop their innovation skills.

Technology Entrepreneurship Lab

Leading by coaching: In this course, students learn to build their coaching skills and practice them by helping real innovation or start-up teams with their challenges.


Unleashing the Power of Large Language Models with In-context Learning (Project Week)

In this project, students explore how to adapt large language models to new tasks using contextual learning techniques without requiring parameter updates.

From Invention to Patent

The course provides a practical introduction to all relevant aspects of intellectual property law, with a particular focus on university inventions.

Student Advising and Information Services

+ 49 89 289 22245 

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Personal advising sessions with General Student Advising by appointment

Service Desk

Campus Munich
Arcisstraße 21, Room 0144
80333 München

Monday, 9 a.m. – 12 p.m.
Wednesday, 9 a.m. – 12 p.m.
Friday, 9 a.m. – 12 p.m.