Math and Applied Mathematics
The major of mathematics and applied mathematics aims to train students to master the basic theories, methods and skills of mathematical science and finance, and to be trained in scientific thinking, with the use of mathematical knowledge, financial knowledge, the use of computer technology to solve practical problems of specialized personnel. Majors include mathematical analysis, advanced algebra, probability theory, mathematical statistics, operations research, ordinary differential equation, numerical analysis, microeconomics, macroeconomics, econometrics, introduction to finance, stochastic processes, accounting, financial engineering, international finance, actuarial science, securities investment analysis, investment banking, programming, queuing theory, neural networks, fractal and wavelet analysis, operating systems, data structures, object-oriented analysis, database principles and methods, software engineering, mathematical models and their software, computer networks. Through solid course study and practice, to train professionals who can be engaged in practical application, research development and management in the sectors of economy, management, finance, Science and technology and government, etc. , or you can pursue a graduate degree in applied mathematics and its applications and related disciplines.
Information and Computing Science
Information and computing science aims to cultivate students with good mathematical foundation and thinking ability, master the basic theories, methods and skills of information science and Computing Science, and be trained by scientific research, advanced applied professionals who can solve practical problems in information technology and scientific and engineering computing. Majors include mathematical analysis, advanced mathematics, differential equation, probability theory and mathematical statistics, operational research, numerical analysis, data structure, database principles and applications, advanced language programming, software engineering, algorithm design and analysis, computer network, computer graphics, artificial intelligence and model recognition, information management, information coding and encryption. Through solid curriculum study and practical training, training in science and technology, education, information industry, and other fields engaged in research and management work, or can continue to pursue this specialized or the related high-tech discipline, the interdisciplinary specialized graduate student degree.
Statistics is designed to develop a systematic knowledge of statistical theory and application of knowledge, master the main methods of statistics, with the ability to deal with specific industry data problems professionals. Majors include probability theory, mathematical statistics, applied multivariate analysis, regression analysis, statistical computation, biostatistics, data analysis and statistics software, statistical modeling of financial markets, sampling surveys, applied stochastic processes, economic forecasting and decision making, econometrics, and environmental statistics. Through the systematic course of study, to train in management, finance, industry, agriculture, business, credit and other related fields in data collection, analysis and decision-making application-oriented graduates.
Computer Science and Technology
Computer Science and technology aims to cultivate professionals with basic theoretical knowledge of computer science and technology and the ability of scientific research. Major courses include data structure, discrete structure, computer composition principles, operating systems, database systems, compilation principles, etc. . Through systematic course study, high-quality innovative talents of science, technology and engineering can be engaged in teaching, research and management of Computer Science and Technology in scientific research institutions, enterprises and institutions, government organs, etc. .
The aim of software engineering is to train engineering software talents with professional ethics, software engineering knowledge system, software design and development ability, strong engineering ability and certain management knowledge. Majors include computer system fundamentals, engineering economics, operating systems, database principles and applications, software engineering fundamentals, software architecture, team motivation and communication.
Data Science and Big Data Technology
Data Science and Big Data Technology aims to develop a basic knowledge of natural science and a solid knowledge of data acquisition, storage, analysis and application related to data science and big data technology, with the engineering technical ability of big data analysis and good comprehensive quality, with the ability of abstract thinking, logical thinking and system view, with innovative spirit and practical ability of the compound talent. Majors include data structure, principles of Big Data Technology, distributed computing, operating systems, database systems, data analysis, and data mining. Through the systematic course study, can be competent for Big Data Engineer, enterprise big data project manager and so on.
According to the concept of engineering education and the need of engineering talents, the major of network engineering aims to cultivate a high sense of social responsibility, good humanistic quality and network engineering thinking, be able to use knowledge of mathematics, natural science, computer science and technology, network engineering knowledge, technology and methods, network system planning, design, implementation, testing, operation and maintenance or other IT related engineering practices. Major courses include data structure, discrete structure, computer composition principle, operating system, data communication and computer network. Through systematic course study, with good professional adaptation, development and innovation ability, can be in network engineering and information technology related fields, independent competent network engineer or other IT engineer positions and requirements of personnel.
Information Management and information system
The aim of information management and information system is to cultivate knowledge of modern management basic theory, system science thought, computer science and technology, etc. , master the planning, analysis, design and management of information systems and other methods and technical expertise. Majors include economics, management, operations research, database principles and Applications, information resource management, communications and computer networks, data structures, management information systems, UML object oriented analysis and design, Java object-oriented programming, systems engineering, and more. Through the systematic course study, can be in the national government departments, enterprises and institutions, scientific research institutions engaged in information management and information system construction of application-oriented professionals.
The major of industrial engineering aims to cultivate students with the quality of systematic management thought, management science and engineering science, master the basic theory of natural science and social science, and technical and management knowledge related to engineering, ability to analyze and solve management and engineering problems in production and service systems, such as efficiency, quality, cost and environment, with professional ethics, innovation awareness and international perspective, with lean improvement skills, enterprise information application skills, enterprise automation application skills, big data analysis and application skills professionals. Majors include economics, management, operations research, basic industrial engineering, logistics engineering, human factors engineering, production planning and control, lean production, systems engineering, production planning and control, and quality management. Graduates who have applied systems planning, design, evaluation and improvement work in a wide range of industries with manufacturing at their core.
Big Data Management and application
Big Data Management and Application Major (BDMAM) of South China Agricultural University has started to enroll since 2021. It upholds the principle of Integration of data analysis Technology and Management, emphasizes personnel training on data management and application basis, fosters students’ information technology ability and strengthens students’ data analyzing and decision making ability.
BDMAM is composed of 12 teachers including 2 professors, 4 associate professors and 6 lecturers, among whom 8 have received Doctorate Degree and many others have studied or visited aboard.
The core courses of BDMAM are Operational Research, Data Structure and Algorithm, Business Intelligence and Data Mining, and Big Data Statistics and Quantitative Analysis, etc.
BDMAM fosters students to be application-oriented talents with solid basic knowledge of mathematics, modern management theory, system science thought, knowledge and methods of data analysis and decision support, skillful at data analysis, process，management and application.