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  • About the School
    • Introduction of SSE
    • Dean’s message
    • Annual Undergraduate Prospectus
    • School Video
    • Contact us
  • News
    • SSE News
    • SSE Newsletter
    • Interviews with SSE Faculty Members
    • Announcement
  • Programmes
    • Undergraduate programmes
      • Mathematics and Applied Mathematics
      • Physics
      • Chemistry
      • Materials Science and Engineering
      • New Energy Science and Engineering
      • Electrical and Computer Engineering
      • Financial Engineering(offered jointly with the SME and the SDS)
      • Bachelor-Ph.D. Class
      • Bachelor-Master. Class
      • Elite Class
      • 2+2 Double Major Programme
      • Q&A on Registry Matters
    • Taught Postgraduate Programmes
      • Master of Science in Communications Engineering
      • Master of Science in Computer and Information Engineering
      • Master of Science in Artificial Intelligence and Robotics
      • Master of Science in Integrated Circuits and Systems
      • Master of Science in Financial Mathematics
      • Executive Master of Science in Supply Chain and Logistics Management (Part-time master program)
    • MPhil-PhD Programmes
      • MPhil-PhD Programme in Mathematics
      • MPhil-PhD Programme in Physics
      • MPhil-PhD Programme in Chemistry
      • MPhil-PhD Programme in Materials Science and Engineering
      • MPhil-PhD programme in Energy Science and Engineering
      • MPhil-PhD Programme in Computer and Information Engineering
      • MPhil-PhD Programme in Biomedical Engineering
  • Faculty
    • Academic Staff
    • Research Fellow
  • Academic Research
    • Research Field
    • Laboratories
    • Research News
    • Academic Activities
      • Long Feng Science Forum
      • SSE Upcoming Events
      • SSE Events Review
    • Materials Characterization and Preparation Center
  • Students
    • Students’ Activities
    • Students’ Achievements
    • Student Sharing
    • Student Associations
    • Maker Lab
      • About us
      • Tools & Equipment
      • Project Ideas
  • Career
    • About us
    • Career Handbook
    • International Co
      • Exchange & Visiting Programs
      • Collaborative Degree Program
    • Further Education and Employment
      • Latest News
      • Industrial Talks
      • Employment Workshop
      • Further Study Workshop
    • Counselling
    • Alumni
  • Cooperation
  • Recruitments
CUHK-Shenzhen
简体中文

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  • Home
  • Programmes
  • Undergraduate programmes
  • Mathematics and Applied Mathematics
  • Undergraduate programmes
    • Mathematics and Applied Mathematics
    • Physics
    • Chemistry
    • Materials Science and Engineering
    • New Energy Science and Engineering
    • Electrical and Computer Engineering
    • Financial Engineering(offered jointly with the SME and the SDS)
    • Bachelor-Ph.D. Class
    • Bachelor-Master. Class
    • Elite Class
    • 2+2 Double Major Programme
    • Q&A on Registry Matters
  • Taught Postgraduate Programmes
    • Master of Science in Communications Engineering
    • Master of Science in Computer and Information Engineering
    • Master of Science in Artificial Intelligence and Robotics
    • Master of Science in Integrated Circuits and Systems
    • Master of Science in Financial Mathematics
    • Executive Master of Science in Supply Chain and Logistics Management (Part-time master program)
  • MPhil-PhD Programmes
    • MPhil-PhD Programme in Mathematics
    • MPhil-PhD Programme in Physics
    • MPhil-PhD Programme in Chemistry
    • MPhil-PhD Programme in Materials Science and Engineering
    • MPhil-PhD programme in Energy Science and Engineering
    • MPhil-PhD Programme in Computer and Information Engineering
    • MPhil-PhD Programme in Biomedical Engineering

Mathematics and Applied Mathematics

Mathematics is a discipline of study on the material world and the nature of human thinking. This discipline is pursued to describe all physical and conceptual phenomena in the universe and in the realm of thought by using scientific language, and to provide theoretical frameworks and methodological tools for investigating and understanding all things in the world and the laws of their motions and changes. Mathematics is the basis of learning and researching natural sciences, engineering and social sciences, and has been playing an irreplaceable role in the development of human history and in social life.  In the age of information and the Internet, the scope of application of mathematics is more extensive. In big data processing, smart city, financial analysis, risk management, economic regulation and other aspects, the training of mathematics provides scientific and technical personnel with a high-level overall vision, and provides the scientific basis and ability of analyzing complex phenomena, discovering general laws, and inventing efficient methods.  

The programme is designed to give students a firm grounding in mathematics and cultivate their mathematical thinking ability, analytical research ability, and standardized expression ability, so that students have a solid subject foundation and the ability to discover, identify and solve problems using mathematical methods. In addition to fundamental mathematical theories, students will be trained in applying mathematical methods to find and solve practical problems in areas as diverse as physics, chemistry, energy, biology, engineering technology, scientific computing, internet technology, business, finance, management, life science and social science. 

The programme provides students with three streams of concentration:

1. Pure Mathematics: Students will study and investigate the fundamental theories and methodologies of mathematics, including geometry, algebra, analysis and other subjects. Emphasis is placed on establishing a solid foundation in the field and cultivating the abilities to analyze, reason, synthesize, demonstrate, and express scientifically.

2. Applied Mathematics: Students will study mathematical theories and methods, including mathematical modeling, operations research, probability theory and computational methods, and develop the ability to use mathematical knowledge and computer technology to solve real-world problems. 

3. Financial Mathematics: Students will study mathematical theories and methods, and use mathematical tools to analyze financial issues, and develop the ability to use mathematical models, data and computers to conduct quantitative financial analysis. 

 

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