This program is established to cultivate high-level academic innovative talents to engage in Basic Research, Applied Basic Research, or Finance, Management, Mathematics Applications, and Education in Mathematics and related fields in the future. Talents should be equipped with excellent moral character, solid foundation, comprehensive quality, good physical and mental health, international visions and strong innovation ability.

Doctors of this program should master solid and broad basic theories and systematic in-depth knowledge in Mathematics; be familiar with the cutting-edge developments and trends in the relevant fields of Mathematics; master the necessary knowledge of relevant disciplines; have independent innovation ability in Mathematics and related disciplines and the ability to research and make creative achievements in mathematics and related fields. This program adopts a four-year school system.

Curriculum:

Core courses: Nonlinear Analysis, Harmonic Analysis, Introduction to Exchange Algebra, Topological Groups, Differential Equations and Dynamical Systems, Nonlinear Evolutionary Partial Differential Equations, Selected Lectures on Approximate Algorithms, Mathematical Modeling and Calculation, Selected Lectures on Topology, Selected Lectures on Partial Differential Equations, Selected Lectures on Algebraic Representation Theory, Bifurcation Theory and Application, Selected Lectures on Computational Mathematics.

Featured courses: Mathematical Modeling and Calculation, Selected Topics on Topology, Selected Partial Differential Equations, Selected Topics on Algebraic Representation Theory, Bifurcation Theory and Applications, Selected Lectures on Computational Mathematics.

Career:Students of this program can work in Universities and Research Institutes after graduation.

Mathematics (Master of Science)

Objective:This program is aimed at training high-level applied talents for educational departments, research institutes, and high-tech industries in fields of teaching, research, development, and management. The degree holder should master the solid basic theory and systematic specialized knowledge in Mathematics; be familiar with a certain research field and receive the necessary scientific research training; be equipped with the ability to conduct educational work, scientific research work, independent technical work or be able to solve practical problems with applied Mathematical knowledge. The main research directions are: 1. Basic Mathematics 2. Applied Mathematics 3. Operations Research and Cybernetics 4. Scientific Computing 5. Discrete Optimization.

Curriculum:

Core courses:Real Analysis, Matrix Analysis and Calculation, Applied functional Analysis, Numerical Solution of Differential Equations, Discrete Optimization, General Topology, Differential Geometry, Modern Partial Differential Equation Theory, Qualitative Theory of Ordinary Differential Equations, Algorithm Design and Analysis, Mathematical Model and Calculation, Finite Element Method, Wavelet Analysis, Introduction to Algebraic Topology, Physics and Partial Differential Equations, Bifurcation And Chaos Foundation, Linear Programming and Integer Programming, Data Mining and Machine Learning, Computer Programming, Statistical Learning Theory.

Featured courses: Real Analysis, Matrix Analysis and Calculation, Applied Functional Analysis.

Career:Graduates of this program can start a career in educational institutions, public administration, financial units, information technology, scientific research units, service industries, etc.