In the era of big data, econometrics serves as a core course for the cultivation of postgraduate statistics students, yet its traditional teaching mode can hardly meet the training requirements for data science talents in the new era. Driven by big data technology and machine learning methods, this paper explores the paths of curriculum reform from three dimensions, namely the reconstruction of curriculum system, the innovation of teaching mode and the strengthening of practical teaching, in response to the problems in course teaching such as outdated content, low student participation and insufficient transformation of competition achievements. By constructing a four-in-one teaching mode, integrating interdisciplinary knowledge and the elements of curriculum ideological and political education, and establishing a transformation mechanism for the achievements of statistical modeling competitions, this paper realizes the deep integration of course teaching with the big data era, disciplinary competitions and talent demands, thus providing practical references for the reform of similar courses in universities.
Big Data; Postgraduate Education; Econometrics; Curriculum Reform; Teaching Mode.
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