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FACULTIES
School of Mathematics and Big Data Science

School of Mathematics and Big Data Science offers three undergraduate

study programs:

Mathematics and Applied Mathematics

Information Management and Information System

Applied Statistics

The School’s faculty is consist of 46 professional teachers, including 8

professors, 18 associate professors and 27 doctors.


Major: Mathematics and Applied Mathematics

Duration of Study: 4 Years

Core Courses:

Mathematical Analysis

Advanced Algebra

Analytic Geometry

Complex Variable Function

Ordinary Differential Equations

Modern Algebra

Real Variable Function

Probability and Mathematical Statistics

Mathematics Education

Visual C++ Programming

University Physics

Elementary Mathematics

Higher Geometry

Elementary Number Theory

Combinatorial Mathematics

Mathematical Modeling

Mathematics Experiment

Topology

Functional Analysis

Degree Awarded: Bachelor of Science


Major:Information Management and Information System

Duration of Study: 4 Years

Core Courses:

Information Management Science

Programming of Language C

Data Structure

Data Base Technique

Information System Analysis and Design

Information Resource Organization and Management

Operational Research

Applied Statistics

Production and Operations Management

Microeconomics

Principles of management

Visual C++ Programming

Degree Awarded: Bachelor of Management


Major:Applied Statistics

Duration of Study: 4 Years

Core Courses:

Mathematical Analysis

Advanced Algebra

Probability and Mathematical Statistics

Applied Statistics

Micro-Economics

Macro-Economics

National Economic Accounting

Econometrics

Multivariate Statistical Analysis

Statistical Software

Analysis of Time Series

Sampling Theory and Technology

Nonparametric Statistics

Experimental Design

Market Survey Method

Degree Awarded:Bachelor of Science


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