Master of City Planning + Master of Urban Spatial Analytics Dual-Degree


Total CUs for the Dual-Degree: 24

MCP/MUSA Program Requirements

CPLN 5000 (500) City Planning History/Theory 1
CPLN 5010 (501) Quantitative Planning Analysis 1
CPLN 5020 (502) or 5090 (509) Urban Development and Infrastructure Finance or Law of Planning 1
CPLN 5030 (503) Modeling Geographic Objects 1
CPLN 5060 (506) Negotiation and Conflict Resolution or other breadth methods course* 1
CPLN 6000 (600) Workshop 2
CPLN 7xxx Planning Studio 2
CPLN xxxx Concentration Course** 1
CPLN xxxx Concentration Course** 1
CPLN xxxx Concentration Course** 1
CPLN xxxx Concentration Course** 1
CPLN xxxx Concentration Course** or Elective 1
CPLN xxxx Elective 1
    City Planning Internship 0
    CPLN-Only CUs: 15

MUSA 5000 (500) Spatial Statistics & Data Analysis 1
MUSA 5080 (508) Public Policy Analysis 1
  xxxx MUSA Elective I^ 1
  xxxx MUSA Elective II^ 1
  xxxx MUSA Elective III^ 1
    MUSA Capstone (fulfilled through CPLN 680 or MUSA 801) 1
  xxxx Urban Content Requirement I 1
  xxxx Urban Content Requirement II 1
  xxxx General Elective 1
    MUSA-Only CUs: 9


*Course may not be used to meet both core and concentration requirements.

**Refer to the CPLN concentration details in the Penn Catalog and/or the MCP program website for information about which and how many concentration courses are needed. Note: for the 2021-2022 Academic Year, the MCP program website supercedes the Penn Catalog if any details between the two sources do not align. For this reason, please be sure to reference the MCP program page.

^For MUSA Electives, choose from:

  • CPLN 6750 (675): Land Use and Environmental Modeling
  • LARP 7410 (741): Modeling Geographic Space
  • MUSA 5090 (509): Geospatial Cloud Computing
  • MUSA 5500 (550): Geospatial Data Science
  • MUSA 6110 (611): Javascript Programming for Planning Applications
  • MUSA 6500 (650): Geospatial Machine Learning in Remote Sensing


  • 15 CPLN course units are required for the MCP degree under the PAB accreditation.
  • Students enrolling in the MUSA program are expected to have a basic familiarity with GIS (including ESRI's ArcGIS or ArcView programs) and descriptive/inferential statistics. For those who lack such background, MUSA and Weitzman offer introductory GIS courses during the summer, two weeks prior to the start of the Fall term.