Jun 20, 2018  
USC Catalogue 2018-2019 
    
USC Catalogue 2018-2019

Applied Data Science (MS)


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The USC Viterbi Master of Science in Applied Data Science will train students as data scientists. This degree provides students with the knowledge and skill to solve real-world world challenges that require a combination of data management and data analytics skills. Students will learn how to use the latest big-data infrastructures, including Hadoop and Spark. They will learn how to use the various analytical tools, including machine learning, data mining, and data visualization. And students will learn how to apply these tools to real-world problems. 

This degree is designed for students that have a strong math and science background, but may not have much training in computer science. Students will learn the basics of data science, including data formats, tools and techniques. They learn how to build data processing programs in Python, and they will learn how to apply the latest analytical tools through hands-on homeworks and projects. Students are given a choice of electives to allow them to pursue their own interests within data science.

A total of 32 units is required for the degree.

 

Notes:


*Students with previous programming experience in Python can petition to replace this class with a listed elective.

**Whichever courses (INF 554 , INF 555 , INF 556 ) are not taken as a required course may be taken as an elective.

Directed Research (CSCI 590 ), Thesis courses (CSCI 594a , CSCI 594b , CSCI 594z ), and Internship courses (ENGR 595a , ENGR 595b , ENGR 595z , ENGR 596 ) are not eligible for elective credit.

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