Event

Young Researcher Entrepreneurship Bootcamp

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About the Course

The course specifically leverages AI, data science, and computer science in the service of societal and environmental challenges in for instance health-tech, green-tech, manufacturing, and business. The aim is to build entrepreneurial capacity and to increase the establishment of university-based startups.

Participants are not expected to bring their own startup ideas. Instead, you will be introduced to idea generation techniques to create your own concepts in teams during the course.

 

Target group: 

We welcome PhD students and Post-doctoral researchers from computer/data related disciplines with little to no business experience from any Danish university.

 

What you will learn:

By developing your entrepreneurial mindset you will be better able to:

  • Generate research ideas that meet an actual need and validate whether they have the potential to become a viable business. 
  • Grasp the fundamentals of creating a novel startup.
  • Understand the basics of ML Ops as a prerequisite for building an AI startup.
  • Take the steering wheel in your current research and future career.
  • Cultivate innovative thinking and presentation skills.
  • Navigate how to collaborate with tech transfer and innovation officers (e.g. Investores and intellectual property (IP)).

 

What is in it for you?

  • Insights into ideation, ML Ops, entrepreneurial mindset, testing business ideas etc.
  • Engaging, active learning approaches. 
  • Meet inspiring, like-minded individuals, entrepreneurs, and educators.
  • Being invited to pitching event at Digital Tech Summit 5.-6. November 2025 in Øksnehallen, Copenhagen.

  • This course is free of charge.

 

ECTS: 2.5 Points

 

Preliminary programme

May 25th: Entrepreneurial Mindset, Design Thinking & Ideation

May 26th: ML Ops & Venture Building

May 27thCommercialization, Funding and IP 

May 28th: Pitch Training & Culminating Pitches 

 

The programme is co-developed by CBS, DTU, DIREC and AI Pioneer Centre.

 

Find more information about the course here>>