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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.

Students points to data on a computer
  • Degree Offerings
  • Application Requirements
  • Faculty
  • Curriculum

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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:

Application Deadline

Spring: September 15 (international applicants) and December 15 (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 or contact Sumeeta Srinivasan.

Faculty

Portrait of Sumeeta Srinivasan.
Sumeeta Srinivasan
Lecturer
Ph.D. , Massachusetts Institute of Technology
Intersection of sustainable development and spatial inequities of access
Shan Jiang
Shan Jiang
Eileen Fox Aptman, J90, and Lowell Aptman Assistant Professor
Ph.D. , Massachusetts Institute of Technology
Big data analytics; spatial data science; urban mobility; urban science
Magaly Koch - Lecturer
Magaly Koch
Lecturer
Ph.D. , Boston University
Remote Sensing and Geographic Information Systems
Rebecca Shakespeare, Lecturer, Department of Urban and Environmental Policy and Planning
Rebecca Shakespeare
Lecturer
Ph.D. , University of Illinois at Urbana-Champaign
Geographic information system; urban geography; housing; critical GIS

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.