The School of Mathematics and Statistics has three undergraduate programs, which include Information and Computing Science, Statistics and Applied Statistics, and Mathematics and Applied Mathematics. The range of degrees offered by the School of Mathematics and Statistics are designed to give you a thorough grounding in the ideas and techniques of all branched modern mathematics and statistics.

The length of each program is four years. After completing all the credits of the undergraduate, the students will receive an undergraduate certificate and a Bachelor of Science degree conferred by the university. The programs focus on professional cross and strengthen practical ability. The students will be taught by experienced researchers and will have the opportunity to get access to their researches.

**BSc Information and Computing Science**

BSc Statistics and Applied Statistics

BSc Mathematics and Applied Mathematics

***Information and Computing Science**

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Program Code: 080605
Program Length: 4 years
Degree Type: Bachelor of Science
Brief Introduction:

Information and Computing Science is concerned with every aspect of the use of information and computing science in our daily lives. In real world we need computing science to solve practical problems in engineering such as launching a rocket and satellite, numerical weather prediction etc. we also need information science to solve such problems as artificial intelligent, pattern recognition etc.

Our courses embody the fundamentals of math, computing math and programming languages. Among them, math and computing math includes math analysis, advanced algebra, probability theory and statistics and numerical computing. In addition, programming languages include a wide range of languages such as C, C++ and Java.

Students choose this subject at NUIST because of the wide range of cutting edge technologies they can learn, including High Level Numerical Computing, Artificial Intelligence, Pattern Recognition, Digital Image Processing, and Application Software Development.

Course Content:

The course is divided into 4 academic years with each part comprising a number of modules as listed below (follow the links to find out more about each module).

Semester 1

Advanced Algebra I

Math Analysis I

Analytical Geometry

Semester 2

Advanced Algebra II

Math Analysis II

C Programming

College Physics I

College Physics Practice I

Semester 3

Math Analysis III

Ordinary Differential Equation

College PhysicsII

Semester 4

Complex Function

Discrete Math

Data Structure

Numerical Computing I

Probability and Statistics

Information Theory

Java Programming

Matlab Programming

Semester 5

Numerical Computing II

Data Analysis

Coding Theory

Introduction to Database System

Partial Differential Equation

Operation and Optimum

Compiler theory

Semester 6

Digital Image Processing

Java Web Development

Operating System

Math Modeling

Combine math

Real Variable Function

Functional Analysis

Semester 7

Software Engineering

Computer Graphics

Modern Cryptography

Algorithm Analysis and Design

Semester 8

Produce Practice

Dissertation

***Statistics and Applied Statistics**

Program Code: 071601
Program Length: 4 years
Degree Type: Bachelor of Science
Brief Introduction:

Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments. Our courses embody the fundamentals of statistics and tend to emphasize the application of statistical techniques. The program is to acquaint students with the role played in science and technology by probabilistic and statistical ideas and methods, to provide instruction in the theory and application of techniques that have been found to be commonly useful.

Students who choose this subject will accept systematic training of statistical theories and applied skills, and have the basic ability of data processing and statistical analyzing. The graduates should acquire the knowledge and ability in the following aspects:

Solid mathematical foundation, more rigorous scientific thinking training;

To grasp the basic theories, knowledge and approaches of statistics;

To master the basics of the computer, the skilled application of statistical software or other special software, and the correct usage of statistical methods to calculate and analyze;

To master the basic knowledge of natural, social, economic, engineering and biomedical statistics, to have the initial capacity of solving practical problems by statistical theory and methods.

Course Content:

The course is divided into 4 academic years with each part comprising a number of modules as listed below (follow the links to find out more about each module).

Semester 1

Situation and Policies

Career Planning and Innovation in Education

Sports I

Computer Basis I

Introduction of Atmospheric Sciences

College English I

Mathematics Analysis I

Advanced Algebra I

Analytic Geometry

Semester 2

Military theory

Outline of Modern Chinese History

Sports II

College English II

C Programming Language

Mathematical Analysis II

Advanced Algebra II

Semester 3

Ideological and Moral Cultivation and Legal Basis

Sports III

College English III

Mathematics Analysis III

Probability Theory and Mathematical Statistics

Western Economics

Mathematical Experiment

Semester 4

Sports IV

College English IV

Ordinary Differential Equations

Practical Regression Analysis

Statistical Analysis Software Application

Mathematical Modeling

Operations Research

Semester 5

Multivariate Statistical Analysis

Sampling Survey

Applied Stochastic Processes

Numerical Analysis

Mathematical Finance

Econometrics

Data Mining

Experimental Design

Discrete Mathematics

Real Variable

Semester 6

Time Series Analysis

Database Technology and Applications

Quality Management

Statistical Forecasting and Decision-Making

Actuarial

Non-parametric Statistics

Combinatorial Mathematics

Semester 7

Career Guidance and Entrepreneurship

Survival Analysis

Grey Theory

Fuzzy Mathematics

Modern Statistical Methods

Securities Investment Analysis

Semester 8

Practice

Final Thesis/Project

***Mathematics and Applied Mathematics**

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Program Code: 070101
Program Length: 4 years
Degree Type: Bachelor of Science
Brief Introduction:

Mathematics and applied mathematics is a specialty undergraduate program in Nanjing University of Information Science and Technology. Its history can be traced back to the first session of mathematical education undergraduate in 1977.The applied mathematics master’s degree is granted in 2001.Undergraduate students of mathematics and applied mathematics recover to recruit in 2002,and then graduate students of applied mathematics is also recoverable. The profession is based on the training of overall quality with mathematics and applied mathematics, focusing on the infiltrated of mathematics and computing technology, mathematics and meteorology, mathematics and economic, and etc.

The department of mathematics now has 4 professors, 2 associate professors and 7 lecturers. Including 1 doctoral tutor, 3 master tutors, 9 faculties with PhD degree, 1 excellent young teacher in Jiangsu province, 1 “333 project” teacher in Jiangsu province. Our department have formed a good teaching team with old teachers, middle-aged teachers and young teachers.

In recent years, our teacher have won many prizes, including 1 provincial-level teaching achievement award, 5 National Natural Science Foundation of China projects, more than 10 projects about educational reform of Jiangsu province and School. More than 100 paper have published in China and foreign important journals, such as J. Math. Anal. Appl., Nonlinear Analysis TMA, Fuzzy Sets and Systems, Science China Mathematics, Acta Mathematica Sinica, and etc.

After graduation, the students in this major have a solid mathematical foundation and skill in using of mathematical in their work. About 30% students continue to purse their Master Degree or study abroad, the rest of graduates will have a job in research institutions, education departments, weather and management departments, or work in finance, IT and businesses majors, etc.

Course Content:

The course is divided into 4 academic years with each part comprising a number of modules as listed below (follow the links to find out more about each module).

Semester 1

Ideological, Moral Cultivation and Basis of Legal

Career Planning and Innovation in Education

Sports (1)

Basis of Computer Ⅰ

Introduction to Atmospheric science Ⅰ

Physical Experiment(1)

College English (1)

Advanced Algebra (1)

Mathematical Analysis (1)

Semester 2

Military theory

Outline of Modern Chinese History

Sports (2)

College Physics (1)

Physical Experiment (2)

College English (2)

Advanced Algebra (2)

Mathematical Analysis (2)

C Programming Language

Semester 3

Basic Principles of Marxism

Sports (3)

College Physics (2)

College English (3)

Mathematical Analysis (3)

Probability theory

Mathematical Experiment

Semester 4

Introduction to Mao Zedong Thought and Socialist Theory with Chinese Characteristics

Sports (4)

College English (4)

Ordinary Differential Equations

Functions of Complex Variables

Abstract Algebra

Probability and Statistics

Operational Research

Operating System

Matlab Programming

Mathematical Modeling

Semester 5

Numerical Analysis (1)

Functions of Real Variables

Econometrics

Discrete Mathematics

Java Programming Design Ⅰ

Partial Differential Equations

Semester 6

Numerical Analysis (2)

Differential Geometry

Risk Mangement

Introduction to Database Systems

Graphics

Functional Analysis

Data Structures

Principle of Compiling

Differential Equations

Topology

Mathematical Software

Semester 7

Financial Mathematics

Optimization Method

Algorithm Analysis and Design

Risk Mangement and Actuarial

C++ Programming Language

Urban Meteorology

Atmospheric Environment

Mathematical Methods in the Atmospheric Sciences

Atmospheric Physics

Basis of Mathematics

Basic Expansion Course of Foreign Language

International Expansion Course of Foreign Language

Software Development and Design

Practice of Mathematical Knowledge

Mathematics Curriculum Design

Semester 8

Graduation identification

Production Practice

Thesis

Teaching Practice(High School)

Teaching Practice(State-owned enterprises)