Center for Pharmaceutical Data Science Education

Pharma is full of data,
but not data science.

We are here to change that — educating the next generation of drug experts who speak both data and drugs.

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Streamgraph showing cumulative EMA drug approvals by therapeutic area from 2008 to 2023. Stream width represents number of approvals per year.

This streamgraph was created using open EMA data, as an example of the pharmaceutical data literacy we are working to establish.

EMA-approved indications 2008–2023 · SOURCE: EMA

Pharmaceutical sciences,
boosted by data science

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.

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Our Journey

Data science is an integral core capability in life science workers and organisations.

  1. 2023 · Vision

    The Vision Condenses

    People from UCPH, SDU, the foundations and stakeholders together develop the vision and establish the frames

  2. 2024 · Grant

    Grant Awarded

    The grant from Novo Nordisk Foundation, the LEO Foundation, and the Lundbeck Foundation is awarded

  3. 2025 · Season 1

    Idea to Mobilisation

    Existing university staff, center leader and coordinator mobilize and take responsibility for sub-areas termed circles

  4. 2025 · Season 2

    From Mobilization to Perseverance and Clarity

    Gradual shift from getting to know and owning plans to acting and impacting outwards

  5. 2026 · Season 3

    Systematize, Service, Expose

    Shifting our focus from internal center mobilization to aim for external impact

CPDSE community group photo

Who are we

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.

Educate data & drug bilinguals

We aim to upskill and educate people that understand and can apply the right data science across the breadth of the pharmaceutical value chain.

Students 01

A safe space to learn data science

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.

  • Drop-in data science consultations
  • Coding workshops & hackathons
  • Project guidance & peer learning
  • Open teaching materials on GitHub
Teachers & Researchers 02

Hands-on tools to teach data science

We develop hands-on educational materials to embed and expand data science in university curricula, while training educators and providing data-driven methodological expertise.

  • Ready-to-use course modules
  • Educator training in data methods
  • Curriculum integration support
  • Methodological consulting
Life-long Learners 03

A network beyond the university

We reach beyond university borders by creating opportunities for networking and continuous knowledge exchange through workshops, symposiums, and community events.

  • Industry networking events
  • Symposiums & community meetups
  • Continuing education workshops
  • Online resources & tutorials

Cooperators

University of Southern Denmark logo University of Copenhagen logo

Funders

Novo Nordisk Foundation logo LEO Foundation logo Lundbeck Foundation logo

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.