This major relies on big data and data mining, artificial intelligence, digital image processing, software engineering, information security, machine learning and other information science basic theoretical research, and has established and developed "financial information technology", "blockchain technology", "machine And deep learning, and other emerging computer discipline groups. The enrollment targets are mainly undergraduate graduates in computer science and technology, electronic information, communication engineering, mathematics, and information management. As the founding member of the China-Europe E-Commerce Education and Research Alliance (eberea.org), the International Researcher Marie Curie Exchange Program and the China Scholarship Council, which are through the EU's Seventh Framework Agreement, provide free annual graduates for outstanding graduate students. The opportunity of studying and exchange in Europe, the employment direction of graduates is mainly to go abroad for further study, financial institutions, domestic large IT companies and other enterprises and institutions.
The research direction of this major is:
a. Digital Image Processing: The digital image processing research team is dedicated to the research of a new generation of image processing technology and financial paper recognition technology for the financial industry. The research team has a number of international patents in the field of high dynamic range image processing and has won several international innovation invention awards.
b. Big data and data mining technology: research data integration theory and technology, including acquisition, cleaning, modeling and distributed processing and analysis; research data and knowledge fusion of big data in data, features, business, decision-making, etc. Models and methods; research multidimensional data modeling and cross-validation methods; study deep learning models based on neural network systems; study data interaction and hybrid presentation methods; study individual and group multi-time and multi-form content recommendation methods.
Blockchain technology and application: At present, the blockchain technology field proposes various consensus mechanisms, cross-chain technologies and smart contract technologies that apply different requirements. On the basis of fully understanding the advantages and disadvantages of various algorithm models, Optimization schemes and new trading models and solutions, including: blockchain technology consensus algorithm research; blockchain technology based transaction model research; blockchain technology in financial field application; blockchain and smart contracts Related research in the field of accounting auditing.