University of Pennsylvania · Courses

MUSA

15 courses with the subject MUSA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

MUSA 5000Statistical1

and Data

Subject: MUSA
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 5040Intro to Spatial Analytics & Mapping

This course offers a broad and practical introduction to the acquisition, storage, retrieval, maintenance, use, and presentation of digital cartographic data with vector-oriented (i.e. drawing-based) geographic information systems (GIS) for a variety of environmental science, planning, and management applications. Previous experience in GIS is not required. 1 Course Unit

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 5080Public Policy Analytics1

MUSA 8000 1 n Select 3 MUSA electives 3

Subject: MUSA
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 5090Geospatial Cloud Computing &

, Visualization

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 5500Geospatial1

or MUSA 6110 Data

Subject: MUSA
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6110Java Script Programming for Planners and Designers

Dashboards, story maps, and other interfaces that enable the display, analysis, and generation of geospatial data are often the end product of data analysis processes. In this course we'll focus on the interface and interaction aspects of creating these products. Students will learn to design and build interfaces to help users access the value promised by geospatial data, modeling, and analysis. We will cover the logic and syntax of the JavaScript programming language for use in data and map- oriented web applications. The "hands-on" uses of JavaScript in urban planning applications will be emphasized. Students will hone their skills through a series of complete application projects.

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6310Communications in Urban Spatial Analytics

Communication is a fundamental component of the urban analytics pipeline or workflow. In data science, the last mile problem refers to the difﬁculty data analysts often have in communicating results to non- technical stakeholders and decision makers. This course will teach the art of spatial data communication, teaching students how to act as translators from technical analyses to a non-technical audience. We will learn how to clearly write about and describe data, develop effective data visualizations, write clean and reproducible code, and present analytical results in a compelling way. We will also spend time on the front-end of the process, learning to translate user needs into spatial data science projects.

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6320Modeling Geographic Space

This course explores the nature and use of raster-oriented geographic information systems (GIS) for the analysis and synthesis of spatial patterns and processes. Students will learn about the principles of raster data, image processing, and spatial analysis using ArcGIS Pro. By the end of the course, students will have a strong understanding of how to work with raster data and will have the skills and knowledge to apply these techniques to their own research or professional projects.

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6500Deep1

or MUSA 5090 Learning with Python or

Subject: MUSA
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6750Land Use and Environmental Modeling

Planners at every scale and of every type are increasingly using spatial data and models to analyze existing patterns, identify and parameterize key trends and urban processes, visualize alternative futures, and evaluate development impacts. In the ﬁrst half of the course, students will gain experience using various GIS-based environmental planning models, including McHargian Overlay; landscape fragmentation (FRAGSTATS), ArcHydro, Air pollution monitoring, flood inundation prediction, among others. The second half of the course focuses on land- use applications including gentriﬁcation simulation and urban growth modeling. A basic familiarity with ArcGIS is required. Mutually Exclusive: CPLN 6750 1 Course Unit

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6950Topics in Spatial Data & Analytics

Various topics pertaining to urban spatial analysis

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 6951Topics in Data Analytics

Class that examines various topics in data analytics 1 Course Unit

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 7950MUSA Summer: Introduction to GIS & Statistics

The summer GIS Bootcamp prepare students for the intermediate GIS classes that begin in the fall semester. It begins with a discussion of GIS in planning and the social sciences and then moves on to topics related to spatial data, geocoding, projection, vector and raster-based geoprocessing, 3D visualization and more. Each class includes a brief lecture and a walk through involving actual planning related data.

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 8010MUSA/Smart Cities Practicum

Data Science/Programming Requirements Choose one combination:

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

MUSA 8020MUSA/Smart Cities Capstone

This course offers students an opportunity to work closely with faculty, staff, local practitioners, and each other on a capstone project that involves the development of a GIS and/or urban data management application.

Subject: MUSA
Type: course
Edition: 2026-2027
Source: catalog.upenn.edu

Source: University of Pennsylvania's catalog, linked per course · table learning_unit · CourseShelf publish 59