As part of the Graduate Program in Urban Biogeoscience and Environmental Health trainees are required to complete 16 credits of course work that provides a foundation in Biogeoscience, Environmental Health, and Statistics across topics that span air, water, and climate. The required core courses are: Colloquium (2 credits), Applied Research Methods  (2 credits), Internship course (0-4 credits) and are listed below.

Colloquium and Applied Research Methods

  • GRS BI/EE 764 or SPH EH 799: Colloquium in Urban Biogeoscience and Environmental Health
  • GRS BI/EE 765 or SPH EH 797: Applied Research Methods in Urban Biogeoscience and Environmental Health

Internship Course

GRS BI/EE 795 or SPH EH 795: Urban Biogeoscience and Environmental Health: From Research to Policy

Additional requirements are one course in Biogeoscience (4 credits), one course in Environmental Health (4 credits), and one course in Statistics (4 credits). Below are the approved BU URBAN Courses. You can select one course from each category to fulfill your requirements. You may also petition to count a course not listed below towards your requirements by following the instructions on our Course Petitions page. To learn about individual courses below, search through the BU Bulletin.


  • GRS BI/GE 675: Urban Ecology
  • GRS BI/ES 643: Terrestrial Biogeochemistry
  • CAS BI/GE 523: Marine Urban Ecology (BU Marine Program Course)
  • CAS EE 512: Urban Climate
  • CAS ES 540: Atmospheric Chemistry and Global Change

Environmental Health

  • SPH EH 730: Methods in Environmental Health Sciences
  • SPH EH 757: Environmental Epidemiology
  • SPH EH 804: Field Methods in Exposure Science
  • SPH EH 866: Risk Assessment Methods


  • CAS GE 508: Data Science for Conservation Decisions
  • CAS GE 509: Applied Environmental Statistics
  • CAS GE 516: Multivariate Analysis for Geographers
  • CAS GE 529: Modeling and Monitoring Terrestrial Ecosystem Processes
  • CAS GE 585: Ecological Forecasting and Informatics
  • GRS GE 620: Methods of Environmental Policy Analysis
  • GRS GE 640: Digital Image Processing – Remote Sensing
  • GRS GE 712: Regional Energy Modeling
  • SPH BS 723: Introduction to Statistical Computing
  • SPH BS 730: Introduction to R: Software for Statistical Computing
  • SPH BS 805: Intermediate Statistical Computing & Applied Regression Analysis
  • SPH BS 852: Statistical Methods in Epidemiology
  • SPH BS 857: Analysis of Correlated Data
  • SPH BS 820: Logistic Regression and Survival Analysis
  • SPH BS 853: Generalized Linear Models with Applications
  • Any graduate-level course from the Department of Mathematics & Statistics, especially:
    • GRS MA 681: Accelerated Introduction to Statistics for Quantitative Research
    • GRS MA 703: Statistical Analysis of Network Data
    • CAS MA 585: Time series
    • CAS MA 578: Bayesian Statistics
    • GRS MA 751 Statistical Learning

The following additional courses have been recommended by URBAN faculty and may be of particular interest to URBAN Trainees:

  • CAS BI 510: Institutional Racism in Health and Science
  • CAS EE 528: US Environmental Policy
  • CAS EE 538: Research for Environmental Agencies and Organizations
  • GRS GE 660: Food, Energy and Water Resources: Economics and Policy
  • SPH PH 801: Community Engaged Research: Theory, Methods, and Applications