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Engineering

Environmental Data Science (MS) at University of Southern California

University of Southern California, United States

Programme overview

The MS in Environmental Data Science combines data science (machine learning, semantic data models, data management, privacy, visualization) with environmental studies, with real-world capstone projects.

Faculty: Dornsife College of Letters, Arts and Sciences and Viterbi School of Engineering  |  Department: Environmental Studies; Computer Science/Data Science  |  Duration: 3-4 semesters; 32 units minimum  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

Core of six courses (24 units): DSCI 510, 549, 550, ENST 500, ENST 530 and SSCI 581; one data science elective and one environmental elective; 0-unit practicum. Minimum cumulative GPA 3.0 in the program. Students with programming knowledge may test out of DSCI 510.

Official programme page

Application information

Duration: 3-4 semesters; 32 units minimum

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