Wuhan University has structured its digital intelligence talent development courses into four categories: general education, empowerment, application, and discipline. These categories correspond to four academic levels: senior high, Bachelor’s, professional Master’s, and PhD programs. The university employs a systematic training approach that includes “classified + graded” module selection, “interdisciplinary + innovative” course setting, and “foundational + scenario-based” teaching methods. To meet the talent development needs of different categories and levels, the digital intelligence courses are divided into three progressively challenging modules— “Data Fundamentals,” “Data Intelligence,” and “Data Innovation”— providing targeted educational pathways.

Regarding course setting, an “interdisciplinary + innovative” approach is adopted for curricular reform. First, by merging existing courses and upgrading the teaching methods, Wuhan University efficiently optimizes its digital intelligence curriculum. Second, new courses such as “Data Collection,” “Data Management,”and “Data Visualization” are introduced based on the principles of data science. These courses, previously either unavailable or offered only in a rudimentary form, represent a bold restructuring of the knowledge system.

In terms of teaching, Wuhan University employs a “foundational + scenariobased” approach that combines uniform foundational knowledge instruction with scenario-specific practical training. The university marshals its educational resources to create a comprehensive digital intelligence curriculum that includes 18 courses. Among them, nine are undergraduate courses—three general courses and six interdisciplinary foundational courses—seven courses tailored for professional Master’s programs, and two designed for doctoral studies. By systematically developing its comprehensive talent development system, Wuhan University cultivates digital intelligence expertise across different fields and academic levels.