Spatial Data Analytics
This interdisciplinary program focuses on spatial statistical analysis, modeling, and visualization and is complimentary to broader data science applications. Courses are offered in the evenings, on the weekend, and online, making the program accessible to working professionals.

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Degree Offerings
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Application Requirements
- Faculty
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Curriculum
Questions about your application?
Contact us:
Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395
gradadmissions@tufts.edu
The Spatial Data Analytics Certificate engages students who wish to focus on the data science applications of Geographic Information Science tools and technology, including spatial statistical analysis, modeling, and visualization. You’ll learn advanced coding and statistical methods as you prepare for a career in this rapidly expanding field.
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.
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.
Related Programs:
- GIS Cert.
- Data Analytics Cert., M.S.
- Urban and Environmental Planning M.A.
- Environmental Policy and Planning M.S.
- Sustainability M.S.
Application Deadline
Spring: September 15 (international applicants) and December 31 (domestic applicants)
Fall: June 1 (international applicants) and August 1 (domestic applicants)
Application Requirements
> Application Fee
> Resume/CV
> Personal Statement
> Official TOEFL, IELTS, or Duolingo English Test, if applicable
> Transcripts
> One Letter of Recommendation
For more information, email certificates@tufts.edu.
Faculty
Curriculum
The certificate requires twelve 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 Spatial Modeling
- Spatial Programming with Python
One elective from the following (3 credits):
- Intro to 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.