Longdong Campus of Guangdong University of Technology is located atNo. Yinglong Road 16 1, Tianhe District, Guangzhou, adjacent to Longdong Pedestrian Street and south china botanical garden, and is one of the four campuses of Guangdong University of Technology. The campus has a school of management, a school of mathematics and statistics, a school of politics and law, and a school of economics and trade.
Department settings:
1, Information and Computing Science (Information Computing Direction)
Training objective: to train students with good mathematical literacy, master the basic theories and methods of information science and computing science with the background of information processing and scientific and engineering computing, and receive preliminary training in scientific research.
Senior scientific and technical personnel who can solve practical problems by using their knowledge and skilled computer skills, and engage in theoretical and applied research in the fields of mathematics, information and computers, as well as software system development and design.
2, information and computing science (information security direction)
Training objectives: To cultivate students with good mathematical literacy and a solid theoretical foundation of network and information security, to understand the new technologies and development trends in the fields of computer communication network, cryptography and information security at home and abroad, and to systematically and skillfully master the professional knowledge of modern network technology and information security.
Senior scientific and technological talents who can work in the fields of computer, communication, electronic information, e-commerce, e-finance and e-government.
3. Applied statistics
Training objectives: To train students with good mathematical literacy, master the basic theory, knowledge, skills and methods of statistics, and receive good basic training in scientific thinking and scientific experiments, so as to solve practical problems such as general mathematical models and computer applications in engineering and economic management.
Senior scientific and technical personnel with strong data analysis, information extraction, scientific prediction and decision-making ability, who can engage in statistical investigation, statistical information management and data analysis in enterprises and institutions, or engage in research and teaching in scientific research and education departments.