Online Course Offering: Geospatial Data Science for Cancer Control and Prevention

Register here.

This eight-week asynchronous online course will introduce students to the essential concepts and analytic tools they need to integrate geospatial data science into their work in global cancer control. Students will learn about different geospatial data types, where to acquire geographic data, and how to analyze these data using open source software and coding platforms. In addition, students will learn from experts at the forefront of this new field, who are applying geospatial data science approaches in their research to understand how geographic features and accessibility influence cancer risk and survival.                            Course launches on Monday, June 3, 2024.

Course FAQs

Visit our YouTube channel for a sample course lecture.

Learning Goals

  • Learn fundamental geographic data concepts
  • Acquire skills in geospatial data processing and analysis
  • Hear from experts applying these skills in their work

Course Structure

  • Video lectures on core topics
  • Guided practical exercises in R
  • Interviews with experts in environmental health, global health and cancer epidemiology

Prerequisites and Materials

  • Prior training in public health
  • students must have access to a computer
  • Expected commitment: 3-5 hours/week


“The geospatial data science course for cancer control and prevention provided the necessary scaffolding to launch my research in spatial-oriented epidemiology with great confidence. I greatly benefited from the balance of basic and advanced GIS applications, as well as hearing from practitioners using these same methods in their work. Thanks to this course, I am now well-equipped to incorporate spatial data into my research with confidence and expertise.”

Postdoctoral Fellow, National Institutes of Health


“I found the GIS course quite instrumental in solidifying the foundation on my geostatistical skills and would highly recommend the course to others.”

Assistant Research Officer, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya


“I am grateful for this exceptional opportunity to learn about geospatial data science in the context of cancer research! The course materials were extensive but digestable. I have learned so much from Dr. Iyer and all of the guest speakers. It was great to then apply what I have learned from the course to my dissertation work!”

PhD Candidate in Population Health Sciences, Harvard T. H. Chan School of Public Health