Engineering
Advanced Architectural Research Studies (City Design and Housing) (MAARS)
University of Southern California, United States
- Degree
- Master's
Engineering
University of Southern California, United States
The USC Viterbi MS in Applied Data Science trains students as data scientists to solve real-world challenges that combine data management and data analytics, using big-data infrastructures such as Hadoop and Spark and tools including machine learning, data mining and data visualization.
Faculty: Viterbi School of Engineering | Department: Data Science | Duration: 32 units | Study mode: full-time | Location: Los Angeles, CA, United States
32 units: core courses DSCI 551 Foundations of Data Management, DSCI 552 Machine Learning for Data Science and DSCI 553 Foundations and Applications of Data Mining, plus 500-level DSCI electives and up to two approved CSCI electives. Students with limited computer science training first take DSCI 549, DSCI 510 and DSCI 550.
Students are expected to have at least a strong math and science background. Standard Viterbi School of Engineering graduate admission requirements apply.
Requirements published at program group level.
Duration: 32 units
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
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