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Engineering

Analytics (MS) at University of Southern California

University of Southern California, United States

Programme overview

The MS in Analytics provides technical and quantitative training in the fundamentals of analytics for solving engineering and management problems in a data-extensive digital world, with rigorous mathematical modeling and computational methods at its core.

Department: Daniel J. Epstein Department of Industrial and Systems Engineering  |  Duration: 28 units  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

Five foundational courses (including ISE 521 Foundations of Analytics, ISE 529 Predictive Analytics and ISE 530 Optimization Methods for Analytics), a project-based course, methodology courses such as data mining, text analytics and time series, and a 4-unit adviser-approved elective, totaling 28 units.

Career pathways

Preparation to convert data into information for decision support systems and operational and strategic decisions.

Official programme page

Application information

Duration: 28 units

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