MESM Focus: Environmental Data Science

Faculty Advisor: James Frew

Environmental problem solving increasingly uses a wide-range of environmental data to understand both how human actions impact the environment and the many influences on human actions. Environmental data is also used to monitor change, assess program effectiveness, to choose between different options, to project future scenarios. Environmental data is often complex - varying in time, space, type, and quality. Data science offers techniques for dealing with this complexity building on methods developed in computer science, statistics, geography, economics and other disciplines. This focus provides students with data science skills that are commonly used in environmental science and an overview of emerging and more sophisticated techniques.

Course Work
MESM students may choose to take EDS courses as electives. Students may earn an EDS focus by completing 16 units, including ESM 244, ESM 262, and 8 units of electives. Students who would like to pursue the focus should select "EDS focus" in MyPlan and select the required courses and electives as part of their study plan.

Environmental Data Science Focus Courses (8 units required to complete focus)

ESM 244 Advanced Data Analysis (4 units)
ESM 262 Computing for Environmental Science & Management (4 units)

EDS Electives (8 units required to complete focus)

  • ESM 228 Monitoring and Evaluation (4 units)
  • ESM 232 Environmental Modeling (4 units)
  • ESM 246 Econometrics (4 units)
  • ESM 263 Geographic Information Systems (GIS) (4 units)
  • ESM 267 Advanced Geographic Information Systems (4 units)
  • ESM 439 Environmental Data Visualization (2 units)