Spatial Data Science (MS) at University of Southern California

The MS in Spatial Data Science is a cross-disciplinary joint degree offered by the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences. It teaches students to acquire and analyse spatial data, apply AI, machine learning and data mining to GIS workflows, and solve location-based problems.

Faculty: Dornsife College of Letters, Arts and Sciences (Spatial Sciences Institute) and Viterbi School of Engineering (Computer Science/Data Science)  |  Duration: Minimum 32 units  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

Six required courses (24 units) in foundation, spatial core and data science core, including Introduction to Computational Thinking and Data Science, Concepts for Spatial Thinking, Spatial Data Science, GIS Programming and Customization, Principles of Programming for Data Science and Data Science at Scale, plus a spatial elective and a data science elective. Students assemble a digital portfolio.

Official programme page