We are here to change that — educating the next generation of drug experts who speak both data and drugs.
The Center for Pharmaceutical Data Science Education (CPDSE) is dedicated to developing research-based education for the future workforce of drug experts, spanning bachelor, master, PhD and life-long learning levels. Pharmaceutical scientists will become bilinguals speaking both “data and drugs”. CPDSE works closely with students, university teachers and researchers, as well as professionals from the pharmaceutical industry to ensure education that is relevant, collaborative, and aligned with real-world needs.
Dear CPDSE in 2026 - this is how the future looks in 2035
Read more →We are pleased to announce that five projects have been selected for funding in the CPDSE PhD pro...
Read more →The Center for Pharmaceutical Data Science Education (CPDSE) is entering its third half-year of o...
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CPDSE is a cross-institutional community of students, researchers, educators, data scientists, pharmacists and collaborators working together to strengthen pharmaceutical data science education.
We grow through shared projects, workshops, retreats, teaching development and everyday collaboration across UCPH and SDU. What makes the center valuable is not only the formal structure, but the people in it: a community that exchanges ideas, builds capacity and helps each other move from plans to practice.
What we offer
Three ways to work with the center, whether you teach, study, or want to build your own data science skills.
We develop and publish free educational resources for data science in pharma — two short steps in Python or R to get started, then a full library for when you want to go deeper.
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We help teachers adapt their courses to modern requirements and the growing need to include data science, upgrading and reforming pharma curricula across all levels.
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Visit us and join our talks, take on a project opportunity, or become a fellow — several ways to get involved with the community.
Read moreWe aim to upskill and educate people that understand and can apply the right data science across the breadth of the pharmaceutical value chain.
We provide consultations to help you enter data science, overcome project challenges, and build data literacy. We run workshops and coding events, creating a safe and collaborative space.
We develop hands-on educational materials to embed and expand data science in university curricula, while training educators and providing data-driven methodological expertise.
We reach beyond university borders by creating opportunities for networking and continuous knowledge exchange through workshops, symposiums, and community events.
Cooperators
Funders
This work was supported by the Novo Nordisk Foundation (NNF24SA0092613), the LEO Foundation (LF-ST-24-500013), and the Lundbeck Foundation (R469-2024-629) through funding to the Center for Pharmaceutical Data Science Education.
