The objective of the USC Viterbi Master of Science in Applied Data Science is to train students with a range of backgrounds to be skilled data scientists.
This program allows strong students trained in either computer science or other engineering or scientific disciplines (or even social science disciplines with a demonstrated aptitude for math and science) to get the training to pursue a career in applied data science.
Students completing this degree will have learned the skills required to work as a data scientist, including a basic understanding of data science techniques, the ability to write data science programs in Python, knowledge and experience in working with both databases and big data infrastructure, skills in applying machine learning and data mining techniques, and knowledge of how to apply these skills to real-world problems.
Our students are immersed in the overall field of data analytics, the role of the analyst and/or data scientist, and the domains where informatics skills can be applied to critical organization missions. They understand how data management, data visualization, data mining, and artificial intelligence techniques (specifically machine learning) are critical to the analysis process and how these can be applied to real-world challenges.
The program features the application of knowledge and skill in hands-on type experiences, with the goal of having students leave the program having “lived in the data.” Through an extensive elective track and our unique professional practicum, students find the specializations that will help them better prepare themselves for the area(s) of analytics in which they hope to contribute.
Esperado Agosto 2022
University of Southern California
University Park Campus,
LOS ANGELES,
California,
90089, United States
Esperado Agosto 2022
Bachelor’s degree from an accredited institution in any engineering or engineering-related disciplines.
Applicants to master's programs who have attained an Internet Based TOEFL (iBT) score of 90, with no less than 20 on each sub-score; or an IELTS score of 6.5, with no less than 6 on each band score.
Puede haber diferentes requisitos de IELTS en función del curso elegido.