Wuhan University: The first enrollment of Lei Jun's class is favored by high-scoring candidates, with the highest score in Hubei admission being 688 points

News from this website on July 27. On July 26, Wuhan University News Network published an article introducing the enrollment situation: In 2024, the quality of the school’s student sources will be significantly improved nationwide, and the number of candidates with absolute high scores will be significantly increased. Among them, the enrollment situation of Computer Science and Technology (Lei Jun Class) was also mentioned. According to reports, the first enrollment of Lei Jun’s class has attracted the attention and favor of many candidates with absolute high scores. In Hubei, the highest admission score for Lei Jun's class is 688 points, and the average score for admission to Lei Jun's class is over 681 points; in Shandong, the admission score for Lei Jun's class is 682 points; in Hunan, the average admission score for Lei Jun's class is over 673 points. In 2024, Wuhan University actually admitted 1,713 students in Hubei Province. The number of high-segment candidates in the general batch of physics has increased significantly, with the highest score of 688 points and the highest rank of 128; the lowest admission rank has increased significantly: the lowest admission line for group 09 engineering experimental classes is 653 points, and the lowest admission line for group 12 medical classes is 649 points . The highest score in the history category is 648 points, and the lowest admission score is 623 points, continuing to maintain a strong trend.

According to previous reports on this site, Wuhan University held a press conference on cultivating top undergraduate talents in May this year and revealed the 2024 undergraduate enrollment plan. Among them, Lei Jun's class will enroll students for the first time, with a planned enrollment of 30 students, half of whom will be admitted to the college entrance examination and half of whom will be recruited for secondary selection of freshmen across the school, aiming to cultivate future innovative and entrepreneurial leaders in computer science.
The training characteristics and advantages of Lei Jun’s class are mainly reflected in three aspects:
First, school-enterprise co-construction, deep integration of industry and education, and internships in leading companies such as Xiaomi.
Second, customized training, diversified personality development, support for 100% guaranteed postgraduate study, 100% direct doctorate, and 100% funding for students’ international exchanges and training for students in Lei Jun’s class who meet academic standards.
Third, three teachers co-educate to comprehensively improve students’ abilities. A group of senior consultants and mentors led by alumnus Lei Jun personally participates in students' comprehensive quality training; President Zhang Pingwen leads 15 academic mentors to guide students in elective courses, build a knowledge system, and ensure periodic offline exchanges; senior Xiaomi engineers lead 15 engineering mentors to train Students’ full-stack engineering practice capabilities.

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