Certificate in Spatial Data Analytics

The Certificate in Spatial Data Analytics focuses on spatial statistical analysis, modeling, and visualization and is complimentary to broader data science applications. It includes advanced coding and statistical methods. The certificate can be completed in 3 to 4 semesters and courses are offered in a flexible format, including in the evenings, weekends, and online, making the program accessible to working professionals. As a student in the program, you’ll also have access to Tufts’ Data Labs, full-service computing labs dedicated to geospatial technology, statistics, and data science which serve as a hub for GIS activities at Tufts and are designed to foster collaboration and innovation. 

Course Requirements

The certificate requires twelve-thirteen credits. Most courses are three credits.

Prerequisites: Intro to Statistics

Three required courses (9 credits):

  • Introduction to GIS or approved intro GIS Course equivalent
  • Advanced GIS
  • Urban Analytics and Visualization OR Data Science for Urban Sustainability (both require a previous introductory course in Python or the new 1 SHU “Introduction to Programming with Python” course at Tufts, offered in both Spring and Fall)

One elective from the following (3 credits):

  • Intro to Remote Sensing
  • Advanced Remote Sensing
  • Spatial Statistics
  • Interactive Web Mapping
  • Data Analytics/Data Science elective courses
  • Approved advanced statistical or quantitative methods course
  • Thesis or capstone with core spatial methods pending approval of GIS program coordinator
  • Other courses may be approved by the coordinator if they have a core spatial or data science component

GIS and Spatial Data Analytics Certificate Program brochure

Faculty Contact

For additional information about this certificate, please contact Sumeeta Srinivasan.