CSCA Mathematics Examination Syllabus Overview
CSCA Mathematics Examination Syllabus (2025 Edition)
I. Examination Purpose
The examination's main goal is to evaluate the mastery of mathematical knowledge among international students.
Focus areas include:
Fundamental mathematical skills
Logical thinking ability
Problem-solving competence
The examination ensures students have a strong academic foundation necessary for undergraduate studies at Chinese universities.
It establishes a solid groundwork for further study in mathematics as well as related disciplines in science and engineering.
II. Examination Format and Structure
Duration: 60 minutes
Total Score: 100 points
Language: Chinese or English
Question Type: Multiple Choice (Single Answer)
Number of Questions: 48
Content Modules:
Sets and Inequalities
Functions
Geometry and Algebra
Probability and Statistics
III. Examination Content and Scope
Sets and Inequalities
Definition, operations, and representation of sets.
Basic properties and solution methods of inequalities, which include:
Quadratic inequalities
Rational inequalities
Functions
Core concepts and properties of functions, such as:
Domain
Range
Monotonicity
Parity
Basic elementary functions:
Power functions
Exponential functions
Logarithmic functions
Trigonometric functions
Sequences, inclusive of:
General term formula
Summation of arithmetic sequences
Summation of geometric sequences
Basics of derivatives and calculus:
Definition of derivatives
Geometric meaning of derivatives
Simple applications of calculus
Geometry and Algebra
Plane analytic geometry, which encompasses:
Equations and properties of various curves:
Lines
Circles
Ellipses
Hyperbolas
Parabolas
Vectors and complex numbers:
Vector operations
Basic operations of complex numbers
Solid geometry, which includes:
Rectangular coordinate system in space
Properties of simple solids
Probability and Statistics
Classical probability model and methods for probability calculation.
Numerical characteristics of data:
Mean
Variance
Basic concepts pertaining to normal distribution.