Introduction of Guilin University of Technology's Specialized Data Science and Big Data Technology Program
Cultivation Objective: This program is designed to cultivate high-level big data talents who are all-rounded in moral, intellectual, physical, social, and aesthetic development, and who are capable of thinking about big data and applying the technology of thinking about big data and analyzing and applying it. It masters computer theory and big data processing technology, systematically trains students to master solutions to various typical problems in big data application from the three main levels of big data application (i.e., data management, system development, and massive data analysis and mining), practically enhances the students' ability to solve practical problems, and has the ability to integrate and innovate knowledge of the professional field with computer and big data technology, and is capable of engaging in the big data research and development and application of composite application-oriented high-level talents.
Major Courses: C Programming, Data Structure and Algorithms, Database Principles and Applications, Principles of Computer Composition, Computer Networks, Object-Oriented Programming (Java), Big Data Cases and Practices, Theoretical Foundations of Statistical Learning, Python Programming, Distributed and Cloud Computing, R Language and Applications, Big Data Modeling and Algorithms, Machine Learning and Artificial Intelligence, Big Data platform and application, etc.
Employment Direction: The graduates of this program have a strong employment advantage, graduates can be engaged in big data management, research, application development and other aspects of work in government agencies, enterprises, companies and other industries. At the same time, they can get the postgraduate degree in software engineering, computer science and technology, applied statistics and other specialties or go abroad for further study, and so on.
For more information on this program, please refer to the "Introduction to Specialized Programs" section.
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