Department of Data and Business Intelligence

The Department of Data and Business Intelligence is established under the background of the national big data strategy and the construction of Digital China and is focused on promoting and facilitating the digital transformation of business. Our department is a cross-disciplinary based on data science and management science, aiming to cultivate innovative and managerial talents who will lead the digital transformation of business. Business intelligence is a key area in today's big data

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-Advanced Mathematics, Probability Theory, Data Structures and Algorithm Design, Programming Languages, Algorithms, Computer Networks

-Basics of Business Big Data Management, Business Database Systems, Big Data Analysis and Computing, Business Data Mining, Data Visualization, Business Data Analysis, Data Science and Decision Making, Probabilistic Modeling and Marketing

-Artificial Intelligence, Machine Learning, Deep Learning, Graph Neural Networks, Artificial Intelligence and Marketing, Artificial Intelligence and Financial Technology

-Mathematical Statistics, Regression Analysis, Time Series Analysis, Introduction to Statistical Learning, Applied Statistics, Statistical Computing, Game Theory, etc

The main research directions of our department include business big data computing and analysis, business data mining, information retrieval, artificial intelligence, machine learning, high-dimensional statistical analysis operations research, financial technology, etc.

In terms of paper publication, staff members in this department are expected to publish papers in top international journals (e.g., TODS, VLDBJ, TKDE, etc.) , international academic conferences (e.g., SIGMOD, VLDB, ICDE, KDD, etc.) in database and data mining, top journals in artificial intelligence (e.g., TPAMI, JMLR, IEEE-IT, etc.), international academic conferences (AAAI, NeurIPS, ACL, ICLM, etc.), top international statistical journals (e.g., Annals of Statistics, Journal of the American Statistical Association, Journal of the Royal Statistical Society, etc.), top international business journals (e.g., Management Science, Information Systems Research, etc.).

In terms of getting projects and grants, we are committed to developing a leading position in this discipline at the national level.

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Contact us

  • Land address

    Department of Data and Business Intelligence, 1954 Huashan Road, Shanghai, 200030, P.R.China

  • Post compilation

    200030

  • Telephony

    86-21-52301165

  • e-mail

    acemhr@sjtu.edu.cn