Master of Urban Spatial Analytics

Program at a Glance

Degree Name	Master of Urban Spatial Analytics
Duration	1 year
Accreditation	No
STEM Designation	Yes
Dual-Degree Options	Yes
Cost of Attendance	Visit Penn SFRS
Financial Aid Available?	Yes; merit-based scholarships
Application Deadline	January 13, 2027
Program Director OR Department Chair	Associate Professor of City & Regional Planning, Elizabeth Delmelle delmelle@design.upenn.edu

MUSA Program Requirements

The Master of Urban Spatial Analytics (MUSA) degree requires the completion of a minimum of 9 course units (CUs) over one year of full-time study.

Requirement	Course Units (CUs)	Details
MUSA Courses (MUSA 5000, MUSA 5080, MUSA 5500 or 6110, MUSA 6500 or 5090)	5.0	Required foundational courses in GIS, spatial analysis, programming (JavaScript/Python), spatial statistics, AI, deep learning, visualization, and geospatial cloud computing.
Urban Content Electives	2.0	Courses selected from urban planning, public health, transportation, housing, sustainability, real estate, or related fields.
Open Elective	1.0	Student’s choice — may deepen technical skills, expand urban policy expertise, or explore another related discipline.
Practicum (MUSA 8010)	1.0	Culminating project solving a real-world urban challenge for an external client, integrating technical skills and urban context.

Typical Course Sequence

Fall Semester	Spring Semester
MUSA 5000 Spatial Statistics (MUSA Required)	MUSA 5090 Geospatial Cloud Computing or MUSA 6500 Deep Learning with Python (MUSA required)
MUSA 5080 Public Policy Analytics (MUSA Required)	MUSA 8010 Practicum (MUSA required)
Programming for Geospatial Data Science: MUSA 5500 Python or MUSA 6110 JavaScript (MUSA required)	Urban Content Course #2
Urban Content Course #1	Open Elective or additional Urban Content
Optional: MUSA elective (AI for Urban Sustainability or Modeling Geographic Space)	Optional: MUSA elective (Communication Class)