The predecessor of the Institute of Business Intelligence of the School of Economics and Information Engineering is the Financial Intelligence Information Processing Research Institute established by the College in 2008. On the basis of the Financial Intelligence Information Processing Laboratory, the College took the lead in the establishment of the “Business Intelligence” Master's degree in 2008, and officially enrolled students in 2009. In the same year, the Institute of Business Intelligence and Financial Informatization was established. In 2014, it was renamed Business. Intelligent Institute. There are 8 teachers in the institute, including 3 professors and 5 associate professors. Adhering to the school's philosophy of “Science and Technology, Finance and Economics”, the Institute undertakes the training of business intelligence professionals with innovative and pioneering spirit, intelligent research on business information, and the responsibility of closely integrating industry needs and serving the society.
In terms of talent cultivation, we will implement the three basic guiding principles of “taking students as the center, persisting in quality education innovation”, “disciplinary cross-cutting, adhering to innovation in scientific research achievements”, “in-depth integration of schools and enterprises, and adhering to practical teaching innovation”. In the process of teaching, adhere to the principle of applying the principle of learning, emphasizing that the practice process is an important part of teaching. The practical process is to comprehensively utilize the knowledge and skills learned to solve problems, develop the process of applying consciousness, and form in the process of improving practical ability. The basic strategy for solving problems, improve the ability to solve and analyze problems, and cultivate high-quality innovative talents with cooperative spirit, creative consciousness, and independent learning habits.
Business intelligence, also known as business intelligence, is Business Intelligence. Business intelligence includes a set of methods and integrated technologies based on advanced management concepts, decision theory and the latest information technology, and the application of these methods and techniques to collect, process, analyze data of organizations or enterprises, and turn them into knowledge to help them make Timely and accurate decision making. The business intelligence system is an extension of the management information system (MIS) to absorb the latest IT technology under the guidance of advanced management concepts, and is closely related to business management, statistics, computer applications and other fields.
The Business Intelligence Institute currently focuses on two main areas of research:
(a) Financial Intelligence (Financial Intelligence): Financial intelligence is the application of business intelligence in the financial field, and is currently a hot research field in the field of financial applications. In the field of financial intelligence research, we mainly study how to use advanced information technology to solve a series of challenges in the financial field. For example: Internet information (news, blogs, online rumors, etc.) analysis of the impact of the securities market; anti-money laundering financial crime research based on massive user behavior data; automatic analysis and diagnosis of accounting statements based on intelligent information processing; based on massive user data Credit card anti-cash research. Talents trained in this direction will be able to engage in data analysis and intelligent decision-making on financial risk management, financial decision-making optimization, financial market management, and anti-financial crime in industries such as banking, insurance, securities, and auditing.
Core Courses: Management Research Methodology, Business Intelligence, Machine Learning, Python Language and Applications, Data Exploration and Visualization, Natural Language Processing, Deep Learning, Financial Risk Management, Big Data Analytics, Blockchain Technology and Applications, Financial Intelligence Business Intelligence Academic Frontier Seminar
(b) Data Science: This direction is the foundation of financial intelligence and market intelligence. It is committed to using data methods to study science and scientific methods to study data. Future-oriented intelligent information processing technology, serves the business and financial industries, thus achieving the cross-integration of information technology and financial disciplines. The specific research contents include: research on massive data management and mining technology; research on modern financial data analysis and decision-making technology; research on massive information processing technology based on cloud computing platform. Talents trained in this direction will be able to engage in the secondary development and deployment of relevant business intelligence software, and implement and manage large-scale business intelligence analysis projects.
Core courses: Business Intelligence, Management Research Methodology, Data Science, Python Language and Applications, Data Exploration and Visualization, Natural Language Processing, Deep Learning, Financial Risk Management, Big Data Analytics, Blockchain Technology and Applications, Financial Intelligence Business Intelligence Academic Frontier Seminar
Director: Associate Professor Xiaokun Li