AI in Life Science Summer School 2026
An elite summer school for PhD students spotlighting
the future of health data and artificial intelligence
The course programme
High-level lectures and real-world applications of AI and health data
Network and collaboration
Meet like-minded early researchers and leading cross-disciplinary experts
Danish Agency for Higher Education and Science
Part of the Strategy for life science towards 2030
Experience Copenhagen
Bike like a local, jump into the harbour and enjoy the vibrant capital
Denmark as travel destination
Beautiful scenery, wavy coastlines and cosy atmosphere
About the summer school
Developed collaboratively across Danish universities and anchored at the University of Copenhagen, the summer school brings together top researchers and PhD students for an intensive two‑week exploration of how data-driven innovation is transforming healthcare. Building on Denmark’s globally unique health data infrastructure and strong culture of trust, the summer school showcases the country’s strengths as a leading life science nation.
Participants will engage with cross-disciplinary experts, advanced research environments, and real-world applications of AI and health data — all while contributing to the development of Denmark’s next generation of life science excellence.
Title
AI and Data Science – Applications and Opportunities in Health Sciences
Dates
10-21 August 2026
Location
University of Copenhagen
With longer excursions to various Danish universities
Price
Free of charge
Application deadline
15 May 2026
ECTS calculation
5 ECTS
We aim for a course that corresponds approximately with 5 ECTS
Participants
Danish and international PhD students and early-stage researchers (postdocs)
With backgrounds in computer science, machine learning, bioinformatics, biostatistics, epidemiology, neuroscience, or related quantitative fields in life sciences. The summer school will enroll a maximum of 60 students.
Funded by:
The AI in Life Science Summer School is funded by
the Danish Agency for Higher Education and Science
and is part of the "Strategy for life science towards 2030"
