Mathematics
Mathematics is not only the foundation of natural sciences but also an indispensable tool in fields such as technology, finance, data, and artificial intelligence. Studying Mathematics in China offers students the opportunity to access high-quality education, top-tier professors, and a dynamic, internationalized academic environment.
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Introduction to the Mathematics Major
Mathematics is a crucial fundamental branch of science with widespread applications in natural sciences, engineering, technology, and social sciences. The Master's program in Mathematics aims to equip learners with a solid theoretical foundation and various in-depth research directions, paving the way for academic and career development.
Training Objectives
The Mathematics major aims to train high-level professionals capable of mastering the mathematical knowledge system and possessing scientific research abilities. Graduates can teach at universities, conduct research at scientific institutes, or pursue doctoral studies.
Who is Suitable for This Major?
This major is suitable for those who enjoy logical thinking, problem analysis, and working with numbers. Students who are patient, meticulous, capable of independent learning, and desire in-depth academic development will have a distinct advantage.
Furthermore, students oriented towards careers in scientific research, artificial intelligence, finance, data, or education are also well-suited to study Mathematics.
Study Mode and Training Duration
The program is conducted on a full-time basis. The standard training duration for the academic Master's program is 3 years. Students will receive balanced training in theory, practice, and scientific research.
Core Courses of the Mathematics Major
|
No. |
Course Name in Chinese |
Course Name in Vietnamese |
Credits |
|
1 |
初级汉语综合课(第一册) |
Comprehensive Elementary Chinese Course (Part 1) |
2 |
|
2 |
初级汉语综合课(第二册) |
Comprehensive Elementary Chinese Course (Part 2) |
2 |
|
3 |
中国社会概况 |
Overview of Chinese Society |
2 |
|
4 |
当代中国 |
Contemporary China |
2 |
|
5 |
一般拓扑学 |
General Topology |
3 |
|
6 |
代数学 |
Algebra |
3 |
|
7 |
微分几何 |
Differential Geometry |
3 |
|
8 |
实变函数 |
Real Analysis |
3 |
|
9 |
泛函分析 |
Functional Analysis |
3 |
|
10 |
运筹学 |
Operations Research |
3 |
|
11 |
概率论 |
Probability Theory |
3 |
|
12 |
数学写作指导 |
Mathematical Writing Guidance |
2 |
|
13 |
随机微分方程 |
Stochastic Differential Equations |
2 |
|
14 |
离散数学方法 |
Methods in Discrete Mathematics |
3 |
|
15 |
组合数学 |
Combinatorics |
3 |
|
16 |
图论 |
Graph Theory |
3 |
|
17 |
Hopf代数 |
Hopf Algebra |
2 |
|
18 |
模的环与范畴 |
Rings and Categories of Modules |
2 |
|
19 |
同调代数导论 |
Introduction to Homological Algebra |
2 |
|
20 |
代数拓扑学 |
Algebraic Topology |
3 |
|
21 |
黎曼几何 |
Riemannian Geometry |
3 |
|
22 |
Lie群 |
Lie Groups |
3 |
|
23 |
傅里叶分析基础 |
Foundations of Fourier Analysis |
2 |
|
24 |
非线性泛函分析基础 |
Foundations of Nonlinear Functional Analysis |
2 |
|
25 |
偏微分方程 |
Partial Differential Equations |
3 |
|
26 |
复分析 |
Complex Analysis |
2 |
|
27 |
非线性方程数值方法 |
Numerical Methods for Nonlinear Equations |
2 |
|
28 |
无限维动力系统基础 |
Foundations of Infinite-Dimensional Dynamical Systems |
3 |
|
29 |
图论中的概率方法 |
Probabilistic Methods in Graph Theory |
2 |
|
30 |
超图理论 |
Hypergraph Theory |
2 |
|
31 |
图的染色理论 |
Graph Coloring Theory |
2 |
|
32 |
代数图论 |
Algebraic Graph Theory |
2 |
|
33 |
极值组合理论 |
Extremal Combinatorics Theory |
2 |
|
34 |
组合矩阵理论 |
Combinatorial Matrix Theory |
2 |
|
35 |
组合优化 |
Combinatorial Optimization |
2 |
|
36 |
组合分析 |
Combinatorial Analysis |
2 |
|
37 |
有限群表示理论 |
