Mathematics is crucial in the information age for big data processing, smart city planning, financial analysis, risk management and economic regulation. It enables professionals to analyze complex phenomena, discover general laws, and develop efficient methods.

Graduates can pursue further studies in mathematics, operations research, data science, computer science, quantitative finance, and finance; or embark on careers in education and research, or work as mathematician, data scientist, quantitative analyst, big data architect, actuary, biostatistician and other specialists. 

Streams:

• Pure Mathematics: It focuses on the fundamental theories and methods, including geometry, algebra, analysis and other subjects, aiming to build a solid foundation while developing skills in analysis, reasoning, synthesis, demonstration, and scientific expression.
• Applied Mathematics: It focuses on mathematical theories and methods, including mathematical modeling, operations research, probability theory and computational methods, aiming to develop students’ ability in applying knowledge and computer technology to solve real-world problems.
• Financial Mathematics: It focuses on mathematical theories and methods, using mathematical tools to analyze financial issues. Graduates can conduct quantitative financial analysis with mathematical models, data and computers.
• Mathematical Modeling and AI: It integrates mathematical theories, methods and code practice, equipping students with the mathematical knowledge needed for artificial intelligence. It aims to develop students’ ability to apply this knowledge and AI tools to solve scientific problems and conduct research in AI.