Data Science and Big Data Technology
（Undergraduate 4-year Program）
Major Introduction
With the rapid development of information technology, big data has become an essential component of contemporary society. This program aims to cultivate professionals with a solid foundation in mathematics, computer technology, and data science theory. Students will master the techniques for collecting, processing, storing, and analyzing big data, enabling them to apply their knowledge to solve real-world problems. Through courses such as Introduction to Data Science, Statistics, Computer Programming, Data Collection Techniques, Database Systems, Machine Learning, Deep Learning Technologies, Recommendation Systems, Time Series Data Analysis, Natural Language Processing, and Data Visualization, students will gain a comprehensive understanding of the fundamental theories and practical skills in data science and big data analysis.
In addition to theoretical learning, this program emphasizes the development of practical skills. Students will enhance their data processing and analysis capabilities, as well as their ability to apply big data technologies and tools through practical courses, project work, and graduation design. Graduates of this program can engage in data science and big data analysis across various fields, including internet, finance, healthcare, government agencies, and research, undertaking roles in data science research, algorithm development, and teaching. The program also focuses on fostering students' innovative spirit and teamwork skills, thereby improving their overall quality. Furthermore, the program collaborates with multiple enterprises to conduct practical teaching and establish internship bases, providing more opportunities and experiences for students' career development, laying a solid foundation for their future endeavors.
Core Courses:
Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics, Operating Systems, Data Structures, Computer Networks, Computer Organization, Database Principles, Data Acquisition and Integration Technologies, Principles and Technologies of Artificial Intelligence, Distributed System Architecture Technologies, Knowledge Graphs, Fundamentals of Image Processing and Analysis, Neural Networks and Deep Learning, NoSQL Database Technologies, Statistical Analysis Techniques, Recommendation Systems, Spark and Cluster Technologies, Project Management and Process Improvement, Natural Language Processing and Information Retrieval Technologies, Fundamentals of Big Data Visualization, and Time Series Data Analysis.
Career Prospects:
Graduates from this program can work in various sectors such as Internet+, Intelligent Manufacturing, FinTech, Government Agencies, Educational Institutions, and Research Institutes. They may engage in data management and maintenance, big data modeling and visualization, big data algorithms and implementation, data mining and analysis, big data software design and development, applications of artificial intelligence, and software project management. Additionally, they can pursue teaching and research roles in higher education or continue their studies for a master's degree.
