Mar 30, 2023  
USC Catalogue 2020-2021 
USC Catalogue 2020-2021 [ARCHIVED CATALOGUE]

Public Policy Data Science (MS)

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Big data is revolutionizing the way many agencies operate, particularly with respect  to governance transparency and accountability, law enforcement, transportation and housing policy. Big data is changing strategies for crime-fighting, defense, national intelligence, social programs, and finance and operations of agencies. The Master of Science in Public Policy Data Science is a multi-disciplinary program offered jointly between the USC Sol Price School of Public Policy and the Data Science Program in the department of Computer Science at the Viterbi School of Engineering, and will provide a curriculum that will make degree recipients appealing to the employers of the 21st century.

Statistics Prerequisite

Applicants must have a bachelor’s degree from an accredited institution and have a basic competence in descriptive and inferential statistics. This prerequisite may be met in one of two ways: (1) entering students must have passed an undergraduate inferential statistics class, with a grade of “B” or better, at a Price school-approved university within three years of matriculation, and must pass the MPP lab associated with PPD 554 Foundations of Policy Analysis , or (2) take PPD 502x Statistical Foundations for Public Management and Policy  and complete with a grade of “B” or better. If students select to take PPD 502x , the units associated with this class may not be used toward the Public Policy Data Science degree.


Students with a computer science background will have the option of replacing DSCI 510 , DSCI 549 , and DSCI 550  with DSCI 551 , DSCI 552 , and DSCI 553 .


Students will complete a capstone experience and project through enrollment in DSCI 560 .

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