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我发邮件问了下. .и
Thank you for your email. The M.S. in Data Informatics program is part of the USC Viterbi Informatics Program. While the program website has not yet been finalized, here is the curriculum information, including program description and course list, for the M.S. in Data Informatics program:
. 1point3acres.com
Master of Science in Data Informatics
The social emergence of large data environments and infrastructures (Big Data) in diverse domains and uses has spawned a requirement for analysis of the information contained. Past experience has shown that extracting value from large information stores can often be difficult due to the intrinsic nature of data, and the limits on ability to intelligently mine the information to add value to the organization.
The USC Viterbi Master of Science in Data Informatics provides students with the knowledge and skill to: a) understand and contribute toward the significant technical challenges created by large data environments, including architecture, security, integrity, management, scalability, artificial intelligence topics, and distribution; b) understand the principles and application of informatics, and the goals of enterprise intelligence; and c) utilize technical/engineering skills coupled with informatics capabilities to provide enterprise-centric solutions to stakeholders. The degree features application of knowledge and skill in hands-on type experiences, with the goal of having students leave the program having “lived in the data.”
Students will understand 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 will 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. Through an extensive elective track, they can find the specializations that will help them better prepare themselves for the area(s) of analytics in which they hope to contribute. Finally, students will participate in a unique professional practicum that will focus on real world challenges, brought in by an external customers.
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Requirements for completion (27 units minimum)
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Required courses (18 units) Units
INF 550 Overview of Data Informatics in Large Data Environments 3
INF 551 Foundations of Data Management 3
INF 552 Machine Learning for Data Informatics 3
INF 553 Foundations and Applications of Data Mining 3
INF 555 User Interface Design, Implementation and Testing 3
INF 560 Data Informatics Professional Practicum 3
Elective courses (choose three, 9 units):
CSCI 686 Advanced Big Data Analytics 3
CSCI 567 Machine Learning 3
CSCI 548 Information Integration on the Web 3. Χ
CSCI 561 Foundations of Artificial Intelligence 3.
CSCI 585 Database Systems 3
CSCI 530 Security Systems 4
CSCI 485 File and Database Management 3
CSCI 572 Information Retrieval and Web Search Engines 3
INF 520 Foundations of Information Security 3
INF 522 Policy: The Foundation of a Success Information Assurance Program 3
Sincerely,
Graduate Admission
USC Viterbi School of Engineering
University of Southern California
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