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

teachers

More

-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.

Academic calendar

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

百度 搜狗 360搜索 火箭双少65分终结雷霆11连胜 亚历山大连续70场20+超乔丹神迹 吴宣仪 在学了在学了 致敬“闪亮的坐标” 韩国民众庆祝尹锡悦弹劾案通过 王楚钦给队友示范绳梯训练

      <code id='a735d'></code><style id='01549'></style>
    • <acronym id='23af7'></acronym>
      <center id='8c94d'><center id='15eae'><tfoot id='c6b5e'></tfoot></center><abbr id='1378b'><dir id='ea88e'><tfoot id='3a615'></tfoot><noframes id='abdfb'>

    • <optgroup id='364de'><strike id='0e119'><sup id='73c31'></sup></strike><code id='d41c9'></code></optgroup>
        1. <b id='0513a'><label id='66b61'><select id='304f9'><dt id='14e90'><span id='c8bb3'></span></dt></select></label></b><u id='b4b32'></u>
          <i id='7d13a'><strike id='a3dbb'><tt id='7cbe6'><pre id='c32dd'></pre></tt></strike></i>