The “Data Science and Statistical Thinking” micro-major is grounded in the trends of technological innovation and industrial development and closely aligned with the strategic needs of the Digital China initiative. It distills the core courses of statistics and data science, promotes the integration and innovation of interdisciplinary knowledge, and is dedicated to cultivating versatile talent with statistical thinking and data processing capabilities, helping students enhance their digital literacy and skills to better embrace the opportunities and challenges of the digital era.
This micro-major comprises 15 credits and includes six required courses: Linear Models, Data Analysis and Visualization, Statistical Writing, Introduction to Data Science, Machine Learning, and Financial AI Agent Design.
The “Big Data Technology and Intelligent Decision-Making” micro-major focuses on the deep integration of technological tools and a decision-oriented mindset. It cultivates versatile professionals who master the core technologies of big data processing, are well versed in causal inference and experimental design, and can apply deep learning and intelligent models to real-world decision-making problems in economics and finance. Students will be able to deliver data-driven decision support in digitalized roles, including strategy analysis, product optimization, and early risk warning.
This micro-major comprises 15 credits, including 12 credits of required courses and 3 credits of elective courses. Required courses include Introduction to Data Science, Text Mining, Experimental Design and A/B Testing, Causal Learning, Business Statistical Modeling and Decision Making, and Deep Learning with Applications in Economics and Finance. Elective courses include Intelligent Text Analysis with Risk Management Applications, Computer Vision, and Financial AI Agent Design.
